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Dal Grande, Eleonora, Catherine R. Chittleborough, Stefano Campostrini, Graeme Tucker, and Anne W. Taylor. "Health Estimates Using Survey Raked-Weighting Techniques in an Australian Population Health Surveillance System." American Journal of Epidemiology 182, no. 6 (August 24, 2015): 544–56. http://dx.doi.org/10.1093/aje/kwv080.
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Lewkowski, Kate, Jane S. Heyworth, Ian W. Li, Warwick Williams, Kahlia McCausland, Corie Gray, Elinor Ytterstad, et al. "Exposure to noise and ototoxic chemicals in the Australian workforce." Occupational and Environmental Medicine 76, no. 5 (January 25, 2019): 341–48. http://dx.doi.org/10.1136/oemed-2018-105471.
Повний текст джерелаАнотація:
ObjectiveTo determine the current prevalence of exposure to workplace noise and ototoxic chemicals, including co-exposures.MethodA cross-sectional telephone survey of nearly 5000 Australian workers was conducted using the web-based application, OccIDEAS. Participants were asked about workplace tasks they performed and predefined algorithms automatically assessed worker’s likelihood of exposure to 10 known ototoxic chemicals as well as estimated their full shift noise exposure level (LAeq,8h) of their most recent working day. Results were extrapolated to represent the Australian working population using a raked weighting technique.ResultsIn the Australian workforce, 19.5% of men and 2.8% of women exceeded the recommended full shift noise limit of 85 dBA during their last working day. Men were more likely to be exposed to noise if they were younger, had trade qualifications and did not live in a major city. Men were more likely exposed to workplace ototoxic chemicals (57.3%) than women (25.3%). Over 80% of workers who exceeded the full shift noise limit were also exposed to at least one ototoxic chemical in their workplace.ConclusionThe results demonstrate that exposures to hazardous noise and ototoxic chemicals are widespread in Australian workplaces and co-exposure is common. Occupational exposure occurs predominantly for men and could explain some of the discrepancies in hearing loss prevalence between genders.
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Jones, Barbara, I. Ching Tsai, Yu-Mei Chang, and Jeffrey Bewley. "Weighting the relative importance of behaviors affecting gait score." Journal of Dairy Research 89, no. 1 (February 2022): 57–59. http://dx.doi.org/10.1017/s0022029922000206.
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AbstractThis research communication evaluates experts’ opinions on the importance and weights of six gait aspects. In 2016, a Qualtrics (Qualtrics LLC., Provo, Utah) survey was distributed to lameness experts. Six gait aspects – general symmetry, tracking, spine curvature, head bobbing, speed and abduction as well as adduction were included. Respondents were asked to rank the gait aspects from 1 (most important) to 6 (least important), and to indicate which weight each gait aspect should receive when assessing lameness. For each gait aspect, frequency (percentage %) was used to describe the distribution of rank, and medians as well as 25th and 75th percentiles were used to summarize assigned weights. Thirty-nine percent of respondents ranked general symmetry first, followed by 32% for tracking, and 19% ranked spine curvature third. Head bobbing ranked fourth with 10% whereas, speed, abduction and adduction were not ranked. The median, 25th and 75th percentiles weight for each gait aspect were: general symmetry (25, 15, and 30), tracking (20, 10, and 30), spine curvature (20, 10, and 21), head bobbing (15, 10, and 20), speed (10, 5, and 20), and abduction and adduction (10, 5, and 10). General symmetry and tracking were deemed the most important gait aspects. A composite gait score can be calculated based on weighted importance of different gait aspects to indicate possible lameness.
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Willoughby, Hannah, Liam Foley, Andrea Scipione, and Simon Banbury. "I Care, If You Care: A Customizable Methodology for Eliciting Task Criticality Ratings to Guide Critical Task Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (September 2022): 908–12. http://dx.doi.org/10.1177/1071181322661432.
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In this practitioner paper, we present a customizable multi-domain methodology for eliciting task criticality ratings to determine if a Critical Task Analysis (CTA) is required to analyze safety-critical tasks undertaken by personnel conducting uranium mining and processing. This evidence-based methodology builds upon previous methodologies by integrating empirical findings from the risk and job analysis literature. Tasks are rated against five critical criteria: Impact on Environmental/Social License, Mission Effectiveness, Impact on Human Health/Safety, Cost, and Impact on Equipment/Infrastructure. The relative importance of each criterion can be customized through pre-determined weightings. Based on the summation of ratings against each criterion, a task criticality rating is derived using a custom flowchart. This allows for wide applicability to projects and industries, whose weighting against each criterion will differ, and is a step towards creating a validated, standardized CTA methodology that can be applied by practitioners across a broad range of safety critical domains.
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Fan, Lili, Hongwei Zhao, and Haoyu Zhao. "Wise optimisation: deep image embedding by informative pair weighting and ranked list learning." IET Image Processing 14, no. 15 (December 2020): 3802–11. http://dx.doi.org/10.1049/iet-ipr.2020.0454.
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Do, Duc Trung, and Nhu-Tung Nguyen. "Applying Cocoso, Mabac, Mairca, Eamr, Topsis and Weight Determination Methods for Multi-Criteria Decision Making in Hole Turning Process." Strojnícky časopis - Journal of Mechanical Engineering 72, no. 2 (November 1, 2022): 15–40. http://dx.doi.org/10.2478/scjme-2022-0014.
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Abstract The ranking of solutions to determine the best one among many solutions is always the setting goal for all activities of all fields in general and in the turning process in particular. When a solution is evaluated by multiple criteria, this is known as “Multi-Criteria Decision Making - MCDM”. Many MCDM methods were proposed by scientists, however, the ranked results of the solutions are not the same. In addition, the ranked results of the solutions also depend on the weighting methods of the criteria. In this study, the ranking of the solutions in the hole turning process was performed by different MCDM methods and with different weighting methods. Five MCDM methods were mentioned in this study including COCOSO, MABAC, MAIRCA, EAMR, and TOPSIS. In this study, five weighting methods were also used including MEREC weight, EQUAl weight, ROC weight, RS weight, and FUCOM weight. The combination of MCDM and weighting methods creates twenty-five ranking results of the solutions. It is interesting to note that all twenty-five ranking results determine the same best solution. The stability in ranking the solutions by MCDM methods was also discussed in this study. From the obtained results, several recommendations were drawn. Some issues that have not been solved in this study and need to be done in near future are also mentioned in the last section of this study.
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Francis, Christina, Paul Hansen, Bjarnhéðinn Guðlaugsson, David M. Ingram, and R. Camilla Thomson. "Weighting Key Performance Indicators of Smart Local Energy Systems: A Discrete Choice Experiment." Energies 15, no. 24 (December 8, 2022): 9305. http://dx.doi.org/10.3390/en15249305.
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The development of Smart Local Energy Systems (SLES) in the UK is part of the energy transition tackling the energy trilemma and contributing to achieving the Sustainable Development Goals (SDGs). Project developers and other stakeholders need to independently assess the performance of these systems: how well they meet their aims to successfully deliver multiple benefits and objectives. This article describes a step undertaken by the EnergyREV Research Consortium in developing a standardised Multi-Criteria Assessment (MCA) tool—specifically a discrete choice experiment (DCE) to determine the weighting of key performance indicators (KPIs). The MCA tool will use a technology-agnostic framework to assess SLES projects, track system performance and monitor benefit realisation. In order to understand the perceived relative importance of KPIs across different stakeholders, seven DCEs were conducted via online surveys (using 1000minds software). The main survey (with 234 responses) revealed that Environment was considered the most important criterion, with a mean weight of 21.6%. This was followed by People and Living (18.9%), Technical Performance (17.8%) and Data Management (14.7%), with Business and Economics and Governance ranked the least important (13.9% and 13.1%, respectively). These results are applied as weightings to calculate overall scores in the EnergyREV MCA-SLES tool.
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Stevens, Elise M., Andrea C. Villanti, Glenn Leshner, Theodore L. Wagener, Brittney Keller-Hamilton, and Darren Mays. "Integrating Self-Report and Psychophysiological Measures in Waterpipe Tobacco Message Testing: A Novel Application of Multi-Attribute Decision Modeling." International Journal of Environmental Research and Public Health 18, no. 22 (November 11, 2021): 11814. http://dx.doi.org/10.3390/ijerph182211814.
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Background: Waterpipe (i.e., hookah) tobacco smoking (WTS) is one of the most prevalent types of smoking among young people, yet there is little public education communicating the risks of WTS to the population. Using self-report and psychophysiological measures, this study proposes an innovative message testing and data integration approach to choose optimal content for health communication messaging focusing on WTS. Methods: In a two-part study, we tested 12 WTS risk messages. Using crowdsourcing, participants (N = 713) rated WTS messages based on self-reported receptivity, engagement, attitudes, and negative emotions. In an in-lab study, participants (N = 120) viewed the 12 WTS risk messages while being monitored for heart rate and eye-tracking, and then completed a recognition task. Using a multi-attribute decision-making (MADM) model, we integrated data from these two methods with scenarios assigning different weights to the self-report and laboratory data to identify optimal messages. Results: We identified different optimal messages when differently weighting the importance of specific attributes or data collection method (self-report, laboratory). Across all scenarios, five messages consistently ranked in the top half: four addressed harms content, both alone and with themes regarding social use and flavors and one addiction alone message. Discussion: Results showed that the self-report and psychophysiological data did not always have the same ranking and differed based on weighting of the two methods. These findings highlight the need to formatively test messages using multiple methods and use an integrated approach when selecting content.
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Sikström, Sverker, Laura Mai Stoinski, Kristina Karlsson, Lotta Stille, and Johan Willander. "Weighting power by preference eliminates gender differences." PLOS ONE 15, no. 11 (November 5, 2020): e0234961. http://dx.doi.org/10.1371/journal.pone.0234961.
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Power can be applied in different domains (e.g., politics, work, romantic relationships, family etc.), however, we do not always reflect on which domains we have power in and how important power in these domains is. A dominant idea is that men have more power than women. This notion may be biased because the concept of power is associated with public life. We introduce the concept of preference-weighted power (PWP), a measure of power that includes different domains in life, weighted by the domains’ subjective importance. Two studies investigated power from this perspective. In Study 1, participants generated words related to power, which were quantified/categorized by latent semantic analysis to develop a semantic measure of the power construct. In Study 2, we computed a PWP index by weighting the participants' self-rated power in different power domains with the importance of having power in that domain. Together the studies suggest that men have more perceived power in the public domain, however, this domain has a lower preference weighting than the private domain where women have more power than men. Finally, when preferences for power in different domains were considered, no gender differences were observed. These results emphasize gender difference in different domains and may change how we perceive men’s and women’s power in our society.
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Barata, Fausta Ari. "Performance measurement of supply chains and distribution industry using balanced scorecard and fuzzy analysis network process." Decision Science Letters 10, no. 3 (2021): 401–14. http://dx.doi.org/10.5267/j.dsl.2021.1.004.
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This study aims to identify effective indicators in the performance measurement of a firm using Balanced Scorecard (BSC) as well as weighting and ranking indicators by employing Fuzzy Analysis Network Process (FANP) and investigation on network mapping and the relationships between balanced scorecards with Fuzzy DEMATEL presenting strategies to improve performance of a firm. To assess the significance of the four perspectives: financial, customer, internal processes and learning and growth, about 28 indicators are identified, and after screening, 13 indicators are located as final BSC indicators. After examining the influencing of the main factors using fuzzy DEMATEL technique, internal processes dimension has the most impact and customer, and learning and growth and financial dimensions respectively are ranked as second to fourth priorities. Also using the Fuzzy ANP technique has examined weighting and ranking of dimension and performance measures indicators that dimension of customers has gained first rank and financial, internal processes and learning and growth are ranked as second to fourth respectively.
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Verma, Ajay, and G. P. Singh. "Combining AMMI and Mean Yield of Wheat Genotypes Evaluated under Rainfed Conditions of Northern Hills Zone for Stability Analysis." International Journal of Bio-resource and Stress Management 11, no. 6 (December 31, 2020): 590–600. http://dx.doi.org/10.23910/1.2020.2162b.
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Highly significant effects of environment (E), GxE interaction and genotypes (G) observed by AMMI analysis during 2018-19 and 2019-20 study years. WAASB measure ranked suitability of UP 3039, VL 2035 and VL 2036 genotypes. Superiority index while weighting 0.65 and 0.35 for yield and stability found VL 2036, HS 668 and UP 3039 as of stable performance with high yield. PRVG and MHPRVG measures observed suitability of HS 668, HS 562 and HS 669 wheat genotypes. More over the average yield of genotypes ranked HS 668, VL 2036 and HS 669 as of order of choice. Mostly indirect relations of SI measure were observed with stability measures along with positive values for MHPRVG, PRVG and yield. WAASB measure exhibited significant indirect relationships with other measures except of moderate positive with SI, yield, MHPRVG and PRVG measures. For the second year of study WAASB measure ranked suitability of HS676, UP3064 and HS677 genotypes. Superiority index while weighting 0.65 and 0.35 for yield and stability found VL2041, HS675 and HS562 as of stable performance with high yield. PRVG and MHPRVG measures observed suitability of VL2041, HS675 and HPW470 wheat genotypes. More over the average yield of genotypes ranked VL2041, HS675 and HS507 as of order of choice. Mostly negative values were exhibited by SI measure with stability measures apart of direct with MHPRVG, PRVG and yield. WAASB measure exhibited direct relationships with other stability measures except of indirect relations with SI, yield, MHPRVG and PRVG.
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Schram, Jolinda, Joost Oude Groeniger, Merel Schuring, Karin Proper, Sandra van Oostrom, Suzan Robroek, and Alex Burdorf. "O7D.3 Working conditions and health behaviour as causes of educational inequalities in self-rated health: an inverse odds weighting approach." Occupational and Environmental Medicine 76, Suppl 1 (April 2019): A67.1—A67. http://dx.doi.org/10.1136/oem-2019-epi.180.
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BackgroundThis study aims to estimate to what extent working conditions and health behaviours mediate the increased risk of low educated workers to report a poor health.MethodsRespondents of the longitudinal Survey of Health, Ageing, and Retirement in Europe (SHARE) in 18 European countries were selected aged between 50 years and 64 years, in paid employment at baseline and with information on education and self-rated health (n=15,126). Health behaviours and physical and psychosocial work characteristics were measured at baseline, while self-rated health was measured at 2 year follow up. We used loglinear regression models and Inverse Odds Weighting causal mediation analysis to estimate the total effect of low education on self-rated health and to decompose the effect into natural direct (NDE) and natural indirect effects (NIE).ResultsLower educated workers were more likely to be in poor health compared to higher educated workers. The total effect of low education on self-rated health was RR=1.81 [95% CI 1.66–1.97]. For work conditions, having a physical demanding job was the strongest mediator, followed by lack of job control and lack of job rewards. NIE through working conditions was RR=1.16 [95% CI 1.06–1.25], explaining about 30% of educational inequalities in self-rated health. For health behaviour, body mass index and alcohol were the strongest mediators, followed by smoking. NIE though health behaviour was RR=1.14 [95% CI 1.07–1.20], explaining about 27% of educational inequalities in self-rated health.ConclusionsPreventive interventions focusing on reducing physical work demands as well as improving health behaviour may contribute to reducing educational inequalities in self-rated health among workers in Europe.
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Setiawan, Raka Adji, Fauziah Fauziah, and Ratih Titi Komala Sari. "Aplikasi Perbandingan Pemilihan Guru Private Homeschooling menggunakan Algoritma Simple Additive Weighting (SAW) dan Weight Product Berbasis Web." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 4, no. 2 (January 1, 2021): 14. http://dx.doi.org/10.35870/jtik.v5i1.195.
Повний текст джерелаАнотація:
This study aims to compare the selection of private homeschool teachers using the Simple Additive Weighting (SAW) and Weight Product (WP) algorithms, the criteria that have been taken by the author to calculate their weight in selecting private teachers who excel and provide convenience with an assessment based on criteria. In this effort, the authors can build a private teacher selection system with the Simple Additive Weighting (SAW) algorithm to find the total weights of the teacher performance rating for each alternative on all attributes and compare it to the Weight Product (WP) algorithm using the multiplication technique to link the attribute rating. where the attribute type rating must be ranked first with the associated weight attribute. From the results of this study, the authors have described how the design and application of SAW and WP in making a Decision Support System in selecting private homeschooling teachers.Keywords:Simple Additive Weighting (SAW), Weight Product (WP), Decision Support Systems, Teacher Selection, Homeschooling.
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Haswan, Febri. "Application of Simple Additive Weighting Method to Determine Outstanding School Principals." SinkrOn 3, no. 2 (March 18, 2019): 186. http://dx.doi.org/10.33395/sinkron.v3i2.10082.
Повний текст джерелаАнотація:
The principal is a teacher who is given an additional assignment to be a leader in a school, the task of the principal can regulate, control and empower the community in the surrounding area, selection of outstanding school principals, so far both the school and Kuantan Singingi District Education Office determine the outstanding headmaster does not have an application that can simplify the work in calculating the weight value to determine the principals who are pretending, the assessment carried out so far is only manual, the application of the SAW method is used to select the best alternative from a number of alternatives - each participant will be ranked from highest to lowest. The results obtained from this study are that the system built can facilitate selection, so the selection process becomes more effective, efficient and transparent.
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Butterfield, Phillip W., and Anne K. Camper. "Development of a toolbox to assess microbial contamination risks in small water systems." Journal of Water and Health 2, no. 4 (December 1, 2004): 217–32. http://dx.doi.org/10.2166/wh.2004.0020.
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Individual and small water systems account for the majority of waterborne disease outbreaks recorded in the United States each year. To address this problem a project was undertaken to develop a comprehensive self-assessment toolbox that could be used by small water system personnel to determine where their system has the greatest potential risks from microbial contamination. The toolbox components consist of: (1) a survey that asks specific questions; (2) a ranking tool that computes numerical scores for water system components based on survey answers; (3) comments and results from the ranking tool; (4) a guidance document to help the user understand why certain conditions may represent a risk; and (5) instructions for using the toolbox. A unique feature of the ranking tool is the ability to input expert opinion in the form of scores for each answer and weighting factors. Weighting factors are derived using ranked, pairwise comparisons, and then used to determine numerical scores for system components. Toolbox administrators are allowed to modify weighting factors used by the ranking tool application, thus allowing input of expert opinion.
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Ulfasari and Arif Ismail Husin. "DECISION SUPPORT SYSTEM FOR SELECTING THE BEST TEACHER BASED ON PERFORMANCE APPRAISAL AT SMPIT AS SU'ADAA USING THE SIMPLE ADDITIVE WEIGHTING (SAW) METHOD." INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM (IJATEIS) 1, no. 2 (July 12, 2022): 73–90. http://dx.doi.org/10.55047/ijateis.v1i2.372.
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One of the efforts in improving the quality of human resources is to measure the performance of a teacher through a teacher selection. One of the information systems needed is a decision support system for selecting the best teacher. This is needed because the Principal and the Curriculum Section in the process of assessing teacher performance and determining the results of the best teacher selection decisions still use manual methods and do not have a decision support system and there is no appropriate method in selecting the best teachers. This research aims to create a decision support system with the Simple Additive Weighting (SAW) method, and create a MySQL database to store all data. The selection of the best teacher is determined by summing up the results of the assessment of existing criteria with predetermined weight. The results will be ranked according to the calculations in the Simple Additive Weighting (SAW) method. By applying the basic additive weighting method, design systems support principals and the curriculum department in identifying the most effective teachers based on measurable, objective performance indicators.
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Dinh, Trong Hung, Trung Hieu Dinh, and Uwe Götze. "Integration of Sustainability Criteria and Life Cycle Sustainability Assessment Method into Construction Material Selection in Developing Countries: The Case of Vietnam." International Journal of Sustainable Development and Planning 15, no. 8 (December 22, 2020): 1145–56. http://dx.doi.org/10.18280/ijsdp.150801.
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A sustainable development concerning economic, environmental, and social aspects is a global need as well as challenge in general and especially regarding the selection of construction materials. However, it is assumed that the importance of sustainability criteria is different in developed and developing countries. This is relevant for the application of Life Cycle Sustainability Assessment, a method that integrates the established methods for economic, ecological, and social evaluation (Life Cycle Costing, Life Cycle Assessment, and Social Life Cycle Assessment) without explicitly including importance weightings. This paper aims to review the reality of sustainable development in construction material selection in Vietnam, a developing country. A list of 18 sustainability criteria was set up by reviewing previous studies and using a questionnaire. These criteria were ranked and used to calculate the importance of weightings based on the Analytic Hierarchy Process method and a Likert scale. The results showed that the “price of material” was ranked as the first among the sustainability criteria. It is also pointed out that 42.06, 29.96, and 27.98 are the weightings of Life Cycle Costing, Life Cycle Assessment, and Social Life Cycle Assessment results, respectively. Besides, 11 obstacles for integrating sustainability criteria into material selection were identified in the questionnaire, and 4 out of them were marked as showing “high” importance.
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Tamba, Elfrida. "Decision Support System for Foundation Beneficiaries Using the Simple Additive Weighting (SAW) Method." Instal : Jurnal Komputer 12, no. 02 (October 27, 2021): 69–75. http://dx.doi.org/10.54209/jurnalkomputer.v12i02.26.
Повний текст джерелаАнотація:
Receipt of compensation funds for underprivileged students needs to be selected so that they are not wrong in providing assistance, so that the recipients of assistance are students who deserve to receive. The decision support system is an effective way of selecting students who need compensation funds. The criteria are as a stage for selecting students who are entitled to grant aid, with these criteria all students who participate in receiving the compensation funds will be ranked. The results of the ranking are based on calculations, the first order is Farhan Rifai with a value of0.8; second place is Sidratul Muntaha with a value of 0.7666
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Wulandari, Ratri. "Pemilihan Supplier Bahan Baku Partikel Dengan Metode AHP Dan Promethee." Jurnal Teknik Industri 16, no. 1 (May 9, 2017): 22. http://dx.doi.org/10.22219/jtiumm.vol16.no1.22-30.
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The problem of choosing a supplier becomes very important to do a company to be able to meet consumer demand quickly and with quality. So far, the company has not implemented the supplier selection procedures and selection criteria not yet have a supplier. The method can be completed with the supplier selection criteria is the AHP method is used to determine the weights of criteria that have been corporations and PROMETHEE method used to determine the performance of the alternative. The purpose of this research is to identify the criteria used in the selection of a supplier company and determine the weight of these criteria and get ranked supplier to obtain the best supplier. The selected criteria in the selection of the supplier company is quality with a weight of 0.19, with a weight of 0.17 delivery, performance history with a weighting of 0.06, the price with a weighting of 0.36, communication system with a weighting of 0.06, the operating control with weights of 0.05, attitudes supplier with a weighting of 0.04 and a geographical location with a weight of 0.08 where as criteria rank order supplier is UD. TL as the first rank with a net value of flow for 0.254, UD. SD as the second rank with a value of 0.144 and a net flow PT.KTI as third with a net flow value of -0.397.
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Li, Zhenhua, Yingkun Pang, Yongsheng Bao, and Zhanyuan Ma. "Research on Surface Failure Law of Working Faces in Large Mining Height and Shallow Buried Coal Seam." Advances in Civil Engineering 2020 (June 25, 2020): 1–14. http://dx.doi.org/10.1155/2020/8844249.
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In the process of high-intensity and large-space mining in Shendong mining area, various surface cracks are generated on the surface, resulting in serious damage to the surface buildings and the local ecological environment. To study the influence of overlying rock movement on surface failure of near-field single key strata of near-shallow buried and large mining height working face, the relationship between overburden movement, strata pressure appearance, and surface failure at working face 52307 in Daliuta mining area was analyzed by field measurement and numerical simulation. The results show the following: (1) there is only one thick and hard key stratum in the overburden of large mining height and near-shallow buried working face. Under the condition of presplitting roof blasting, the first weighting step is still as high as 95 m, and the periodic breaking step of roof is 20–30 m. During the weighting, the working resistance of support is still close to the rated resistance. (2) The single key stratum plays an obvious role in controlling overburden movement. After the first weighting of the working face, a stepped subsidence crack appears on the surface within a short time, and the crack lags behind the working face for about 5 m. (3) During each periodic weighting process, the breaking and subsidence of key blocks are accompanied by surface cracks.
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Bonniot-Cabanac, Marie-Claude, and Michel Cabanac. "Do Government Officials Decide More Rationally than the Rest of us?" Social Behavior and Personality: an international journal 38, no. 8 (September 1, 2010): 1147–52. http://dx.doi.org/10.2224/sbp.2010.38.8.1147.
Повний текст джерелаАнотація:
We investigated the relative weighting of rationality and pleasure in decisions by individuals from all three branches of government. Judges, government executives, and members of parliament rated their pleasure/displeasure after reading item-sentences describing political and social problems followed by different decisions (Questionnaire One). Questionnaire Two was a multiple-choice, grouping of items from Questionnaire One. All three participant groups maximized pleasure equally in their decision making.
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Khedrigharibvand, Hojatollah, Hossein Azadi, Hosain Bahrami, Zbelo Tesfamariam, AbbasAghajani Bazzazi, Philippe De Maeyer, and Frank Witlox. "Sustainable rangeland management in southwest Iran: application of the AHP-TOPSIS approach in ranking livelihood alternatives." Rangeland Journal 40, no. 6 (2018): 603. http://dx.doi.org/10.1071/rj17038.
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This paper reports the continuation of a line of research exploring livelihood alternatives employing sustainable rangeland management (SRM). Determining appropriate alternatives was a multifaceted task, so multi-attribute decision-making (MADM) techniques were applied to a framework that incorporated livelihood alternatives and their relevant criteria. The livelihood alternatives promote balance between humans, livestock and the rangelands, and the livelihood criteria include livelihood capital and vulnerability contexts, as well as the policies, institutions and processes (PIPs) that affect each livelihood alternative and SRM as a whole. The livelihood alternatives were ranked according to SRM potential, and the most appropriate ones for the Bazoft region of south-west Iran were determined. Through a hierarchical process, nine livelihood alternatives were initially considered as being potentially suitable for SRM, based on the weights of predefined criteria. Using a collaborative process, various groups (local informants, local and regional practitioners and scientists) were asked to develop a list of livelihood criteria in order to identify appropriate livelihood alternatives. Initially, 20 experts were selected for undertaking criteria weighting, and subsequently 10 experts were selected to rank the alternatives for final decision-making. The weights of the criteria were determined by the Analytical Hierarchy Process (AHP) technique, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to rank the alternatives. A non-resource-based livelihood was ranked as the most suitable alternative, followed by pastoralism with adaptation of various production systems. The application of the AHP-TOPSIS approach showed how criteria weightings influence the suitability of livelihood alternatives. Thus, the livelihood model enabled visualisation of the consequences of appropriate and/or inappropriate livelihoods for SRM. This study found that even the livelihood alternatives with the lowest values were worthy of consideration in planning for SRM, but they might need to be supported. Finally, the study suggested that the application of decision support models to the identification of users’ livelihood alternatives and to structuring the criteria for adoption of the various alternatives enhances informed decision-making within the context of SRM.
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Yuniwati, Ika. "Correlation Test Application of Supplier’s Ranking Using TOPSIS and AHP-TOPSIS Method." CAUCHY 4, no. 2 (May 31, 2016): 65. http://dx.doi.org/10.18860/ca.v4i2.3489.
Повний текст джерелаАнотація:
The supplier selection process can be done using multi-criteria decision making (MCDM) methods in firms. There are many MCDM Methods, but firms must choose the method suitable with the firm condition. Company A has analyzed supplier’s ranking using TOPSIS method. TOPSIS method has a marjor weakness in its subjective weighting. This flaw is overcome using AHP method weighting having undergone a consistency test. In this study, the comparison of supplier’s ranking using TOPSIS and AHP-TOPSIS method used correlation test. The aim of this paper is to determine different result from two methods. Data in suppliers’ ranking is ordinal data, so this process used Spearman’s rank and Kendall’s tau b correlation. If most of the ranked scored are same, Kendall’s tau b correlation should be used. The other way, Spearman rank should be used. The result of this study is that most of the ranked scored are different, so the process used Spearman rank p-value of Spearman’s rank correlation of 0.505. It is greater than 0.05, means there is no statistically significant correlation between two methods. Furthermore, increment or decrement of supplier’s ranking in one method is not significantly related to the increment or decrement of supplier’s ranking in the second method
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Sazegari, Sima, Ali Niazi, Zahra Zinati, and Mohammad Hadi Eskandari. "Mining transcriptomic data to identify Saccharomyces cerevisiae signatures related to improved and repressed ethanol production under fermentation." PLOS ONE 17, no. 7 (July 26, 2022): e0259476. http://dx.doi.org/10.1371/journal.pone.0259476.
Повний текст джерелаАнотація:
Saccharomyces cerevisiae is known for its outstanding ability to produce ethanol in industry. Underlying the dynamics of gene expression in S. cerevisiae in response to fermentation could provide informative results, required for the establishment of any ethanol production improvement program. Thus, representing a new approach, this study was conducted to identify the discriminative genes between improved and repressed ethanol production as well as clarifying the molecular responses to this process through mining the transcriptomic data. The significant differential expression probe sets were extracted from available microarray datasets related to yeast fermentation performance. To identify the most effective probe sets contributing to discriminate ethanol content, 11 machine learning algorithms from RapidMiner were employed. Further analysis including pathway enrichment and regulatory analysis were performed on discriminative probe sets. Besides, the decision tree models were constructed, the performance of each model was evaluated and the roots were identified. Based on the results, 171 probe sets were identified by at least 5 attribute weighting algorithms (AWAs) and 17 roots were recognized with 100% performance Some of the top ranked presets were found to be involved in carbohydrate metabolism, oxidative phosphorylation, and ethanol fermentation. Principal component analysis (PCA) and heatmap clustering validated the top-ranked selective probe sets. In addition, the top-ranked genes were validated based on GSE78759 and GSE5185 dataset. From all discriminative probe sets, OLI1 and CYC3 were identified as the roots with the best performance, demonstrated by the most weighting algorithms and linked to top two significant enriched pathways including porphyrin biosynthesis and oxidative phosphorylation. ADH5 and PDA1 were also recognized as differential top-ranked genes that contribute to ethanol production. According to the regulatory clustering analysis, Tup1 has a significant effect on the top-ranked target genes CYC3 and ADH5 genes. This study provides a basic understanding of the S. cerevisiae cell molecular mechanism and responses to two different medium conditions (Mg2+ and Cu2+) during the fermentation process.
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Kamenik, Anna S., Isha Singh, Parnian Lak, Trent E. Balius, Klaus R. Liedl, and Brian K. Shoichet. "Energy penalties enhance flexible receptor docking in a model cavity." Proceedings of the National Academy of Sciences 118, no. 36 (September 2, 2021): e2106195118. http://dx.doi.org/10.1073/pnas.2106195118.
Повний текст джерелаАнотація:
Protein flexibility remains a major challenge in library docking because of difficulties in sampling conformational ensembles with accurate probabilities. Here, we use the model cavity site of T4 lysozyme L99A to test flexible receptor docking with energy penalties from molecular dynamics (MD) simulations. Crystallography with larger and smaller ligands indicates that this cavity can adopt three major conformations: open, intermediate, and closed. Since smaller ligands typically bind better to the cavity site, we anticipate an energy penalty for the cavity opening. To estimate its magnitude, we calculate conformational preferences from MD simulations. We find that including a penalty term is essential for retrospective ligand enrichment; otherwise, high-energy states dominate the docking. We then prospectively docked a library of over 900,000 compounds for new molecules binding to each conformational state. Absent a penalty term, the open conformation dominated the docking results; inclusion of this term led to a balanced sampling of ligands against each state. High ranked molecules were experimentally tested by Tm upshift and X-ray crystallography. From 33 selected molecules, we identified 18 ligands and determined 13 crystal structures. Most interesting were those bound to the open cavity, where the buried site opens to bulk solvent. Here, highly unusual ligands for this cavity had been predicted, including large ligands with polar tails; these were confirmed both by binding and by crystallography. In docking, incorporating protein flexibility with thermodynamic weightings may thus access new ligand chemotypes. The MD approach to accessing and, crucially, weighting such alternative states may find general applicability.
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ROBERTSON, ALEXANDER M., and PETER WILLETT. "AN UPPERBOUND TO THE PERFORMANCE OF RANKED‐OUTPUT SEARCHING: OPTIMAL WEIGHTING OF QUERY TERMS USING A GENETIC ALGORITHM." Journal of Documentation 52, no. 4 (April 1996): 405–20. http://dx.doi.org/10.1108/eb026973.
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Vavrek, Roman. "An Analysis of Usage of a Multi-Criteria Approach in an Athlete Evaluation: An Evidence of NHL Attackers." Mathematics 9, no. 12 (June 16, 2021): 1399. http://dx.doi.org/10.3390/math9121399.
Повний текст джерелаАнотація:
The presented research focuses on the commonly used Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), which is applied to an evaluation of a basic set of 581 national hockey league (NHL) players in the 2018/2019 season. This is used in combination with a number of objective methods for weighting indicators for identifying differences in their usage. A total of 11 indicators with their own testimonial values, including points, hits, blocked shots and more, are selected for this purpose. The selection of a method for weighting indicators has a major influence on the results obtained and the differences between them, and maintains the internal links within the ranked set of players. Of the evaluated methods, we prefer the Mean Weight method, and we recommend that the input indicators be considered equivalent when evaluating athletes.
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Liu, Shihu, and Haiyan Gao. "The Self-Information Weighting-Based Node Importance Ranking Method for Graph Data." Entropy 24, no. 10 (October 15, 2022): 1471. http://dx.doi.org/10.3390/e24101471.
Повний текст джерелаАнотація:
Due to their wide application in many disciplines, how to make an efficient ranking for nodes, especially for nodes in graph data, has aroused lots of attention. To overcome the shortcoming that most traditional ranking methods only consider the mutual influence between nodes but ignore the influence of edges, this paper proposes a self-information weighting-based method to rank all nodes in graph data. In the first place, the graph data are weighted by regarding the self-information of edges in terms of node degree. On this base, the information entropy of nodes is constructed to measure the importance of each node and in which case all nodes can be ranked. To verify the effectiveness of this proposed ranking method, we compare it with six existing methods on nine real-world datasets. The experimental results show that our method performs well on all of these nine datasets, especially for datasets with more nodes.
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Stanković, Jelena J., Ivana Marjanović, Jason Papathanasiou, and Saša Drezgić. "Social, Economic and Environmental Sustainability of Port Regions: MCDM Approach in Composite Index Creation." Journal of Marine Science and Engineering 9, no. 1 (January 13, 2021): 74. http://dx.doi.org/10.3390/jmse9010074.
Повний текст джерелаАнотація:
Maritime transport and ports are among the most important linkages between global economies, handling more than 90% of internationally traded goods. Economic importance of maritime transport imposes significant implications on the social and environmental performance of port regions. The paper aims to create composite indices as relevant, scientific-based tools used in comparing and monitoring various aspects of sustainability across 37 sea port regions in seven countries on the European side of the Mediterranean, covering a five-year period from 2014 to 2018. The model encompasses Eurostat and OECD annual NUTS2 level data covering economic, social and environmental dimensions of sustainability. Two important indicators of maritime transport activity, maritime transport of freight and maritime transport of passengers, are included within the group of economic indicators. To create composite indices, the multicriteria decision making (MCDM) framework was used as an integrated approach of entropy in the weighting segment, and the Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE) as an aggregation method. The results highlight GDP per capita and population density as indicators of the greatest relative importance when it comes to port regions sustainability. The ranking results indicate that, despite the fact that Attica is the best ranked region in terms of overall sustainability, the largest number of top rated port regions are in Italy, Spain and France.
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Zhang, Zhi-Peng, Yasuo Kudo, Tetsuya Murai, and Yong-Gong Ren. "Enhancing Recommendation Accuracy of Item-Based Collaborative Filtering via Item-Variance Weighting." Applied Sciences 9, no. 9 (May 10, 2019): 1928. http://dx.doi.org/10.3390/app9091928.
Повний текст джерелаАнотація:
Recommender systems (RS) analyze user rating information and recommend items that may interest users. Item-based collaborative filtering (IBCF) is widely used in RSs. However, traditional IBCF often cannot provide recommendations with good predictive and classification accuracy at the same time because it assigns equal weights to all items when computing similarity and prediction. However, some items are more relevant and should be assigned greater weight. To address this problem, we propose a niche approach to realize item-variance weighting in IBCF in this paper. In the proposed approach, to improve the predictive accuracy, a novel time-related correlation degree is proposed and applied to form time-aware similarity computation, which can estimate the relationship between two items and reduce the weight of the item rated over a long period. Furthermore, a covering-based rating prediction is proposed to increase classification accuracy, which combines the relationship between items and the target user’s preference into the predicted rating scores. Experimental results suggest that the proposed approach outperforms traditional IBCF and other existing work and can provide recommendations with satisfactory predictive and classification accuracy simultaneously.
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Fauzi, M. Ali, Agus Zainal Arifin, and Anny Yuniarti. "Arabic Book Retrieval using Class and Book Index Based Term Weighting." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 6 (December 1, 2017): 3705. http://dx.doi.org/10.11591/ijece.v7i6.pp3705-3710.
Повний текст джерелаАнотація:
One of the most common issue in information retrieval is documents ranking. Documents ranking system collects search terms from the user and orderly retrieves documents based on the relevance. Vector space models based on TF.IDF term weighting is the most common method for this topic. In this study, we are concerned with the study of automatic retrieval of Islamic <em>Fiqh</em> (Law) book collection. This collection contains many books, each of which has tens to hundreds of pages. Each page of the book is treated as a document that will be ranked based on the user query. We developed class-based indexing method called inverse class frequency (ICF) and book-based indexing method inverse book frequency (IBF) for this Arabic information retrieval. Those method then been incorporated with the previous method so that it becomes TF.IDF.ICF.IBF. The term weighting method also used for feature selection due to high dimensionality of the feature space. This novel method was tested using a dataset from 13 Arabic Fiqh e-books. The experimental results showed that the proposed method have the highest precision, recall, and F-Measure than the other three methods at variations of feature selection. The best performance of this method was obtained when using best 1000 features by precision value of 76%, recall value of 74%, and F-Measure value of 75%.
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Furi, Reza Ema, and Daning Nur Sulistyowati. "Implementasi Metode Saw Pada Sistem Penunjang Keputuasan Pemilihan E-Commerce Terbaik Di Masa Pandemi Covid-19." Bianglala Informatika 10, no. 2 (September 30, 2022): 124–28. http://dx.doi.org/10.31294/bi.v10i2.13186.
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Abstrak - Pandemi COVID-19 mempengaruhi pandangan masyarakat terhadap bidang usaha menggunakan media online yang semakin berkembang seiring dengan berkembangnya internet di Indonesia.Terlebih lagi kebijakan pemerintah yaitu pembatasan sosial berskala besar yang membuat perusahaan e-commerce diminta untuk menciptakan website yang efektif dan memikat konsumen, karena faktor utama dan paling penting yaitu kepercayaan dan manfaat yang dirasakan, hal tersebut yang akan mempengaruhi nilai kualitas informasi website yang diterima dan juga niat beli para konsumen. Banyaknya platform e-commerce yang ada membuat sulitnya masyarakat memilih dan menentukan e-commerce yang terbaik. Oleh karena itu dilakukan penelitian ini dengan tujuan sebagai rekomendasi e-commerce terbaik dengan menggunakan metode SAW. Adapun kriteria yang digunakan dalam penelitian ini yaitu kualitas informasi dan kualitas keamanan, kualitas interaksi pelayanan, design ui&ux, dan update pembaharuan. Didukung oleh data yang diperoleh dari hasil kuisioner yang telah disebarkan sehingga didapatkan data yang valid. Hasil akhir yang diperoleh dengan perhitungan metode Simple Additive Weighting membuktikan bahwa Shopee menduduki peringkat pertama dengan nilai 20.1, peringkat ke dua Blibli dengan nilai 8.225, peringkat ke tiga Tokopedia dengan nilai 3.372, peringkat selanjutnya diduduki oleh Lazada dengan nilai 3.155, Bukalapak dengan nilai 0.925, dan teakhir Jd.id dengan nilai 0.91.Kata Kunci: E-Commerce, Simple Additive Weighting, Sistem Pendukung Keputusan. Abstract - The COVID-19 pandemic has affected the public's view of the business sector using online media which is increasingly developing along with the development of the internet in Indonesia. Moreover, the government's policy is large-scale social restrictions that have forced e-commerce companies to create websites that are effective and attract consumers, due to factors such as The main and most important is trust and perceived benefits, these things will affect the value of the quality of website information received and also the purchase intention of consumers. The number of existing e-commerce platforms makes it difficult for people to choose and determine the best e-commerce. Therefore, this research was carried out with the aim of being the best e-commerce recommendation using the SAW method. The criteria used in this study are information quality and security quality, service interaction quality, UI&ux design, and update updates. Supported by data obtained from the results of questionnaires that have been distributed so that valid data are obtained. The final result obtained by calculating the Simple Additive Weighting method proves that Shopee is ranked first with a value of 20.1, Blibli is ranked second with a value of 8,225, Tokopedia is in third place with a value of 3,372, Lazada is ranked next with a value of 3,155, Bukalapak with a value of 0.925, and finally Jd.id with a value of 0.91.Keywords: E-Commerce, Simple Additive Weighting, Decision Support System.
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Turner, Christy G. "Expression count: A method for calculating morphological dental trait frequencies by using adjustable weighting coefficients with standard ranked scales." American Journal of Physical Anthropology 68, no. 2 (October 1985): 263–67. http://dx.doi.org/10.1002/ajpa.1330680213.
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Ningsih, Rahma, Yufiz Azhar, and Yuda Munarko. "Rekomendasi Lowongan Pekerjaan dari Portal Bursa Lowongan Kerja Memanfaatkan Cosine Similarity dan Simple Additive Weighting." Jurnal Repositor 2, no. 5 (March 10, 2020): 601. http://dx.doi.org/10.22219/repositor.v2i5.58.
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AbstrakPencarian informasi melalui portal bursa lowongan kerja memanfaatkan mesin pencari (search engine) yang terdapat pada situs layanan. Hasil pencarian oleh sistem didasarkan pada kesamaan query inputan, kemudian hasilnya ditampilkan dengan model sortir yang terbatas pada hierarkis abjad atau angka. Sehingga diperlukan waktu lagi untuk memilah informasi yang dibutuhkan, karena hasil informasi yang ditampilkan sistem juga diantaranya merupakan informasi yang kurang sesuai. Sebab itu diperlukanlah adanya pengembangan model perankingan terhadap rekomendasi informasi dari hasil pencarian tersebut. Metode cosine similarity dalam pengimplementasiannya menghasilkan data sesuai dengan query yang diinputkan user, serta ditambah dengan menerapkan metode simple additive weighting sebagai metode perankingan terhadap data retrive hasil cosine similarity. Sistem memiliki fitur unggulan, yaitu model perankingan yang bertingkat sehingga user dapat menentukan sendiri aturan perankingan dengan menentukan kriteria mana yang cendrung dominan. Abstract Seeking information on job vacancy portals are use search engines tools that already contained on the service site. The search results by the system are based on the similarity of input queries, then the results are displayed with a sort model limited to hierarchical alphabets or numbers. So it takes a longer time to sort out the required information, because the results of information displayed by the system also containedsome irrelevant information. Therefore isbeing necessary to develop other ranked models to recommend some information from the search results. Cosine similarity method in the implementation of the data accordance to query that inputted by user, and then applying a method of simple additive weighting as a ranked method for the retrive data of cosine similarity results. The system has excellent features too, namely the multilevel ranking model so users can define their own ranking rules by determining which criteria tends is dominant.
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Lee, Sang-Bin. "Developing an analytic scale for assessing undergraduate students’ consecutive interpreting performances." Interpreting. International Journal of Research and Practice in Interpreting 17, no. 2 (September 3, 2015): 226–54. http://dx.doi.org/10.1075/intp.17.2.04lee.
Повний текст джерелаАнотація:
This article reports on the process of developing an analytic rating scale for assessing undergraduate students’ consecutive interpreting performances. The development process was divided into three phases. First, a total of 42 criteria for interpreter performance assessment were identified from the related literature and grouped into three categories: ‘content’, ‘form’ and ‘delivery’. Second, these criteria were rated by importance in a questionnaire survey of 31 interpreter trainers. In this phase a total of 20 criteria were removed due to statistical concerns, while 22 criteria — seven criteria for content, seven for form, and eight for delivery — were retained to construct a draft rating scale. Third, to determine the appropriate weighting for each category, two interpreter trainers used the 22-item draft scale to rate 33 consecutive interpretations by Korean undergraduate students. A statistical analysis of these assessments showed that the content category should be assigned an effective weight of 2, while the other categories need not be weighted (i.e., weighting value: 1).
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Shin, Yonggwan, Youngsaeng Lee, and Jeong-Soo Park. "A Weighting Scheme in A Multi-Model Ensemble for Bias-Corrected Climate Simulation." Atmosphere 11, no. 8 (July 23, 2020): 775. http://dx.doi.org/10.3390/atmos11080775.
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A model weighting scheme is important in multi-model climate ensembles for projecting future changes. The climate model output typically needs to be bias corrected before it can be used. When a bias-correction (BC) is applied, equal model weights are usually derived because some BC methods cause the observations and historical simulation to match perfectly. This equal weighting is sometimes criticized because it does not take into account the model performance. Unequal weights reflecting model performance may be obtained from raw data before BC is applied. However, we have observed that certain models produce excessively high weights, while the weights generated in all other models are extremely low. This phenomenon may be partly due to the fact that some models are more fit or calibrated to the observations for a given applications. To address these problems, we consider, in this study, a hybrid weighting scheme including both equal and unequal weights. The proposed approach applies an “imperfect” correction to the historical data in computing their weights, while it applies ordinary BC to the future data in computing the ensemble prediction. We employ a quantile mapping method for the BC and a Bayesian model averaging for performance-based weighting. Furthermore, techniques for selecting the optimal correction rate based on the chi-square test statistic and the continuous ranked probability score are examined. Comparisons with ordinary ensembles are provided using a perfect model test. The usefulness of the proposed method is illustrated using the annual maximum daily precipitation as observed in the Korean peninsula and simulated by 21 models from the Coupled Model Intercomparison Project Phase 6.
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Rahmadian, Jefri, Julia Fajaryanti, and Rogayah Rogayah. "IMPLEMENTATION OF THE SIMPLE ADDITIVE WEIGHTING (SAW) METHOD FOR SELECTION OF SALESPERSON." Jurnal Teknoinfo 17, no. 1 (January 1, 2023): 228. http://dx.doi.org/10.33365/jti.v17i1.2351.
Повний текст джерелаАнотація:
The purpose of this study is to apply the Simple Additive Weighting (SAW) method in determining the best salesperson at XYZ company in terms of sales performance. This SAW method is considered very suitable in determining the best salesperson because the SAW method carries out a weighted summation process based on the performance rating of each alternative on all existing attributes. The calculation process for selecting the best salesperson is carried out based on criteria that have been determined by the company based on the results of discussions and each criterion has weight. In the best salesperson assessment, the Company determines the criteria that become a reference in decision making. The criteria used are total sales, attendance, product knowledge, communication, and creativity. The results of the calculation of the final score obtained by the best salesperson ranked 1st were Rangga Dwi Nugroho getting a final score of 0.9. Rank 2 Nurlia Arbaini got a final score of 0.8436. And in 3rd place, Defri Akbarias got a final score of 0.8364. From the results of these calculations, it shows that the SAW method has provided more effective results in terms of providing the best salesperson assessment results, so this is a very important information for company leaders in determining outstanding salesperson based on existing criteria using the SAW method.
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De Santi, Michael, Syed Imran Ali, Matthew Arnold, Jean-François Fesselet, Anne M. J. Hyvärinen, Dawn Taylor, and Usman T. Khan. "Modelling point-of-consumption residual chlorine in humanitarian response: Can cost-sensitive learning improve probabilistic forecasts?" PLOS Water 1, no. 9 (September 6, 2022): e0000040. http://dx.doi.org/10.1371/journal.pwat.0000040.
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Ensuring sufficient free residual chlorine (FRC) up to the time and place water is consumed in refugee settlements is essential for preventing the spread of waterborne illnesses. Water system operators need accurate forecasts of FRC during the household storage period. However, factors that drive FRC decay after water leaves the piped distribution system vary substantially, introducing significant uncertainty when modelling point-of-consumption FRC. Artificial neural network (ANN) ensemble forecasting systems (EFS) can account for this uncertainty by generating probabilistic forecasts of point-of-consumption FRC. ANNs are typically trained using symmetrical error metrics like mean squared error (MSE), but this leads to forecast underdispersion forecasts (the spread of the forecast is smaller than the spread of the observations). This study proposes to solve forecast underdispersion by training an ANN-EFS using cost functions that combine alternative metrics (Nash-Sutcliffe efficiency, Kling Gupta Efficiency, Index of Agreement) with cost-sensitive learning (inverse FRC weighting, class-based FRC weighting, inverse frequency weighting). The ANN-EFS trained with each cost function was evaluated using water quality data from refugee settlements in Bangladesh and Tanzania by comparing the percent capture, confidence interval reliability diagrams, rank histograms, and the continuous ranked probability. Training the ANN-EFS using the cost functions developed in this study produced up to a 70% improvement in forecast reliability and dispersion compared to the baseline cost function (MSE), with the best performance typically obtained by training the model using Kling-Gupta Efficiency and inverse frequency weighting. Our findings demonstrate that training the ANN-EFS using alternative metrics and cost-sensitive learning can improve the quality of forecasts of point-of-consumption FRC and better account for uncertainty in post-distribution chlorine decay. These techniques can enable humanitarian responders to ensure sufficient FRC more reliably at the point-of-consumption, thereby preventing the spread of waterborne illnesses.
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Kim, Kyeongmo, Thomas D. Buckley, Denise Burnette, Jin Huang, and Seon Kim. "Age-Friendly Communities and Older Adults’ Health in the United States." International Journal of Environmental Research and Public Health 19, no. 15 (July 29, 2022): 9292. http://dx.doi.org/10.3390/ijerph19159292.
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As age-friendly community (AFC) initiatives grow, it will be essential to determine whether older adults who live in an AFC have better health than those who live in other environments. This study uses data from the 2017 AARP AFC Surveys and the AARP Livability Index to assess whether AFCs promote the health of older adults. We analyze data for 3027 adults aged 65 and older who reside in 262 zip code areas. Following AARP guidelines, we allocated the sample into two groups: an AFC group (livability score of 51+; n = 2364) and a non-AFC (score ≤ 50, n = 663). The outcome variable was self-rated health (M = 3.5; SD = 1.1; range: 1–5). We used an inverse probability weighting approach to evaluate whether older adults who live in an AFC reported better self-rated health than those who live in a non-AFC. Findings showed that older adults who lived in an AFC had better self-rated health than those in a non-AFC (b = 0.08, p = 0.027). Compared to non-Hispanic Whites, Black and Hispanic older adults reported worse self-rated health. Inasmuch as living in an AFC can promote the well-being of older adults, policymakers and practitioners should continue to develop and sustain high-quality, accessible built and social environments.
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Hariyanto, Muhammad Ilham Akbar, and Hery Hamdi Azwir. "Peningkatan Effisiensi Tenaga Kerja pada Lintasan Assy Wheel dengan Metode Line Balancing Ranked Positional Weight." JIE Scientific Journal on Research and Application of Industrial System 6, no. 1 (April 1, 2021): 42. http://dx.doi.org/10.33021/jie.v6i1.1419.
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<em>In the production of motorcycles at PT XYZ, there are various manufacturing processes and one of them is the Assy Wheel process. The Assy Wheel process for the K93X type performed on PT XYZ has a fairly low track efficiency. This happens because there are some unbalanced work stations where the conditions are quite detrimental to the company, so they need to be minimized or eliminated. One way to minimize unbalanced work stations is by balancing work tracks with the RPW (Ranked Positional Weight) method. This method is done by making a precedence diagram, determining the weighting of positions for each work element, sorting work elements by ranking position, placing work elements on a work station, placing the remaining time on an operation in the next sequence at the work station. After the analysis process is carried out on the Assy Wheel Track, there is a work element at the work station that needs to be changed and balanced. Work elements are combined at the next work station so that the track efficiency increases from 74% to 95%, the number of work stations and labor is reduced from four to two</em>
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Gunaydin, Gizem, Gamze Duvan, and Eren Ozceylan. "An Integrated Approach of Multi-Criteria Decision Making to Determine the Most Habitable Planet." HighTech and Innovation Journal 3, no. 2 (February 19, 2022): 151–61. http://dx.doi.org/10.28991/hij-2022-03-02-04.
Повний текст джерелаАнотація:
Every planet in the universe has its own characteristics. These features make the planets different among themselves. For this reason, all the different properties of the planets must be evaluated at the same time when determining habitable planets. This situation requires a multi-criteria decision making (MCDM) approach. In this study, a list of habitable planets (nine planets and the Moon) has been considered. Seventeen different criteria such as mass, gravity, diameter, density, escape velocity, rotation time, day of length, distance from the sun, perihelion, aphelion, orbital period, orbital velocity, orbital inclination, orbital eccentricity, obliquity to orbit, mean temperature, and number of satellites are taken into account. The weights of criteria are determined with DEMATEL (The Decision Making Trial and Evaluation Laboratory) by analyzing the interactions among criteria. Orbital inclination is the criterion with the highest weight, and the criterion with the lowest weight is the number of satellites. After weighting the criteria with DEMATEL, VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) and TOPSIS (Technique for Order Preference to Similarity to Ideal Solution) approaches are used to rank the planets. According to the TOPSIS, Earth is ranked first, Venus ranked second and Mercury ranked third in the order of the most habitable planets. According to the VIKOR method, Earth is ranked first, Mars is ranked second, and Mercury is ranked third in the order of the most habitable planets. Finally, the same calculations are considered with equal weights and the results are discussed. Doi: 10.28991/HIJ-2022-03-02-04 Full Text: PDF
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Zhang, Wei, Yandong Zhang, Weisheng Zhang, Liang Chen, Fanjia Li, and Kaidi Xie. "Roof-Breaking Characteristics and Ground Pressure Behavior in Deep Jurassic Coal Seams: A Thick-Plate Model and Field Measurements." Geofluids 2022 (June 23, 2022): 1–15. http://dx.doi.org/10.1155/2022/6307522.
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Roof-breaking characteristics and ground pressure behavior of the coalface are instrumental in guiding deep Jurassic coal seam mining, in particular in the Shaanxi and Inner Mongolia regions of China. A thick-plate mechanical model (TPMM) of the main roof was developed and applied to the case study of 21102 first-mined coalface (FMC) of the Hulusu Coal Mine (HCM) in the Hujirt Mining Area (HMA), China. A theoretical analysis performed via the developed model revealed that the first and periodic breaking intervals of the main roof were 40.6 and 25.0 m, respectively. The roof failure occurred in the tensile mode, was controlled by the internal stress σ x in the rock strata, and started from the center of the long side with the fixed support in the goaf. The field measurement of roof weighting was also performed for the coalface advance from zero to 400 m. The measurement results showed that the first weighting average interval was 41.4 m, and the average interval of periodic weighting was 22.0 m, which agreed with the theoretical calculation and proved the proposed model’s feasibility. Finally, the frequency distribution features of the hydraulic support working resistance in the FMC were analyzed statistically. The results showed that the ZY10000-16/32D supports could adapt to the mining geological conditions of the FMC. However, the margin of the rated working resistance of supports was still small. Thus, roof management enhancement during the mining process was strongly recommended. These research findings could offer theoretical guidance for safe and high-efficiency production in the coal mines under similar geological conditions.
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Jurnal, Redaksi Tim. "PENENTUAN NASABAH PENERIMA REWARD PRODUK GOLD DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) STUDI KASUS : PT. PINJAM INDONESIA." Petir 9, no. 1 (January 4, 2019): 1–9. http://dx.doi.org/10.33322/petir.v9i1.190.
Повний текст джерелаАнотація:
As an appreciation to their customer, PT Pinjam Indonesia has a Gold product. Gold is a product that allows customer to get 10% discount of total bill every 6 months, and is given to two customers. Until now, PT Pinjam Indonesia has difficulties in deciding which customer from Online mortgage system deserves to be rewarded with the Gold product, this problem occurs because of the many numbers of customer in the system. Therefore, Decision Support System is needed to help speed up and make the deciding process easier. Decision Support System decide the highest alternative value that deserves to receive the Gold product using the Simple Additive Weighting (SAW) method wtih prescribedcriterias. The basic concept of Simple Additive Weighting (SAW) method is to find the weighted additive from performance rating of every alternative’s attributes. SAW method needs a normalization process of the decision matrix to a scale that can be compared with every rated alternatives. A calculation process is applied to all the criterias to get the result of which alternative is best to receive the Gold product. This method could help the decision making process to be more objective.
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Holmberg, Kjell, Ulf Landström, and Bertil Nordström. "Annoyance and Discomfort during Exposure to High-Frequency Noise from an Ultrasonic Washer." Perceptual and Motor Skills 81, no. 3 (December 1995): 819–27. http://dx.doi.org/10.2466/pms.1995.81.3.819.
Повний текст джерелаАнотація:
Annoyance and discomfort during exposure to high-frequency noise from an ultrasonic washer have been examined in the experiments carried out with 10 subjects. After a short exposure during which the subjects rated their annoyance and discomfort, a broad-band noise was matched to the ultrasound. The subjects were exposed to three different levels of ultrasound on three different occasions. Analyses showed that ultrasound causes considerable annoyance and discomfort even for the lowest exposure levels. No significant difference between annoyance and discomfort was observed. The matchings indicated, however, that the A-weighting, i.e., the traditional rating technique used for noise evaluations, overestimated the high-frequency sound when evaluating annoyance and discomfort.
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Dua, Tran Van. "Combination of design of experiments and simple additive weighting methods: a new method for rapid multi-criteria decision making." EUREKA: Physics and Engineering, no. 1 (January 19, 2023): 120–33. http://dx.doi.org/10.21303/2461-4262.2023.002733.
Повний текст джерелаАнотація:
Multi-criteria decision making to choose the best option is a complicated task but a required activity in all fields. The problem will be more complicated if, after making a decision, one/several options are added to the list of options to be ranked. In this case, if only a certain multi-criteria decision making method is used, the decision-making shall be required to be started over again. This study recommends a simple solution to overcome this situation. The recommended solution is a combination between the Design Of Experiments method and a certain multi-criteria decision making method. Simple Additive Weighting method was selected in this study as one of the multi-criteria decision making methods for testing. Use the Design Of Experiments method to design an experiment matrix with the main input parameters being the criteria of options. The Simple Additive Weighting method is applied to calculate the output value of each experiment, called the score of the experiment. Develop a mathematical relation between the scores of the experiments and the criteria. This relation is used to recalculate the scores for options to be ranked. Three different cases were performed to evaluate the effectiveness of the new method. The results of ranking alternatives by new method have been compared with when using other methods. Sensitivity analysis was also performed in each case. The generation of different scenarios is done using different methods to determine the weights for the criteria. The best alternative determined when using the new method is always similar to when using other methods. In addition, when using the new method, the best alternative is determined regardless of the method of determining the weights for the criteria. The obtained results have proved the accuracy of the methodology and the advantages of the recommended method. Future work is also mentioned in the last part of this article
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Shanthi, P., and A. Umamakeswari. "Efficient top representative for multi-authorship encrypted cloud data to assist cognitive search." Journal of Intelligent & Fuzzy Systems 39, no. 6 (December 4, 2020): 8079–89. http://dx.doi.org/10.3233/jifs-189130.
Повний текст джерелаАнотація:
Cloud computing is gaining ground in the digital and business world. It delivers storage service for user access using Internet as a medium. Besides the numerous benefits of cloud services, migrating to public cloud storage leads to security and privacy concerns. Encryption method protects data privacy and confidentiality. However, encrypted data stored in cloud storage reduces the flexibility in processing data. Therefore, the development of new technologies to search top representatives from encrypted public storage is the current requirement. This paper presents a similarity-based keyword search for multi-author encrypted documents. The proposed Authorship Attribute-Based Ranked Keyword Search (AARKS) encrypts documents using user attributes, and returns ranked results to authorized users. The scheme assigns weight to index vectors by finding the dominant keywords of the specific authority document collection. Search using the proposed indexing prunes away branches and processes only fewer nodes. Re-weighting documents using the relevant feedback also improves user experience. The proposed scheme ensures the privacy and confidentiality of data supporting the cognitive search for encrypted cloud data. Experiments are performed using the Enron dataset and simulated using a set of queries. The precision obtained for the proposed ranked retrieval is 0.7262. Furthermore, information leakage to a cloud server is prevented, thereby proving its suitability for public storage.
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Gharizadeh Beiragh, Ramin, Reza Alizadeh, Saeid Shafiei Kaleibari, Fausto Cavallaro, Sarfaraz Zolfani, Romualdas Bausys, and Abbas Mardani. "An integrated Multi-Criteria Decision Making Model for Sustainability Performance Assessment for Insurance Companies." Sustainability 12, no. 3 (January 21, 2020): 789. http://dx.doi.org/10.3390/su12030789.
Повний текст джерелаАнотація:
To stay competitive in a business environment, continuous performance evaluation based on the triple bottom line standard of sustainability is necessary. There is a gap in addressing the computational expense caused by increased decision units due to increasing the performance evaluation indices to more accuracy in the evaluation. We successfully addressed these two gaps through (1) using principal component analysis (PCA) to cut the number of evaluation indices, and (2) since PCA itself has the problem of merely using the data distribution without considering the domain-related knowledge, we utilized Analytic Hierarchy Process (AHP) to rank the indices through the expert’s domain-related knowledge. We propose an integrated approach for sustainability performance assessment in qualitative and quantitative perspectives. Fourteen insurance companies were evaluated using eight economic, three environmental, and four social indices. The indices were ranked by expert judgment though an analytical hierarchy process as subjective weighting, and then principal component analysis as objective weighting was used to reduce the number of indices. The obtained principal components were then used as variables in the data envelopment analysis model. So, subjective and objective evaluations were integrated. Finally, for validating the results, Spearman and Kendall’s Tau correlation tests were used. The results show that Dana, Razi, and Dey had the best sustainability performance.
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Jumaryadi, Yuwan. "IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD FOR BEST PERFORMING EMPLOYEE SELECTION (CASE STUDY AT NATIONAL STANDARDIZATION AGENCY OF INDONESIA)." IJISCS (International Journal of Information System and Computer Science) 4, no. 2 (August 19, 2020): 44. http://dx.doi.org/10.56327/ijiscs.v4i2.855.
Повний текст джерелаАнотація:
Technological developments can help human in their work. National Standardization Agency of Indonesia often gives awards for each employee based on the achievements of an employee. With the award given, it is expected that employees will motivated to provide the best work results for the company. The current rating system for National Standardization Agency of Indonesia employees is still by distributing questionnaires, then the results of the questionnaire are recapitulated and ranked based on the highest score to the lowest value. The assessment process currently take a long time so the information obtained is not fast. With the existing problems, we need a system that can help the company in determining the best employees with predetermined criteria. Based on the problems that occur, it need decision support system that can help the company to choose the best employee. The method used in decision making is Simple Additive Weighting (SAW). Decision making with Simple Additive Weighting method is used for decision making using the weighted addition method. Calculations in employee evaluations are carried out directly by superiors with prescribed considerations. The system developed can determine the employees who have the best performance, and helpful for decision maker to make final decision.
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leBrasseur, Richard. "Mapping Green Infrastructure Based on Multifunctional Ecosystem Services: A Sustainable Planning Framework for Utah’s Wasatch Front." Sustainability 14, no. 2 (January 12, 2022): 825. http://dx.doi.org/10.3390/su14020825.
Повний текст джерелаАнотація:
Most sustainable planning frameworks assess natural and social–economic landscape systems as separate entities, and our understanding of the interrelationships between them is incomplete. Landscape classification in urbanizing environments requires an integrated spatial planning approach to better address the United Nation’s sustainable development challenges. The objective of this research is to apply a multicriteria evaluation which ranked diverse ecosystem–service producing landscapes and synthesize the findings within a unique green infrastructure spatial planning framework. Local government stakeholder derived weighting and GIS classification were operated to map both the urban and natural landscapes of the Salt Lake City region of Utah, one of the most rapidly urbanizing areas in North America. Results were assimilated through five regional landscape typologies—Ecological, Hydrological, Recreational, Working Lands, and Community—and indicated those highest ranked landscape areas which provided multiple ecosystem services. These findings support collaborative decision making among diverse stakeholders with overlapping objectives and illustrates pathways to the development of ecosystem service criteria. This paper contributes to a better understanding of how to integrate data and visualize the strategic approaches required for sustainable planning and management, particularly in urban and urbanizing regions where complex socioecological landscapes predominate.
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Satria, Muhammad Najib Dwi, and Mahardika Inra Takandengan. "Application of SAW in the Class Leader Selection Decision Support System." CHAIN : Journal of Computer Technology, Computer Engineering and Informatics 1, no. 1 (December 14, 2022): 27–31. http://dx.doi.org/10.58602/chain.v1i1.7.
Повний текст джерелаАнотація:
The election of the class president is one of the activities that is often carried out when students are in school. A class in school can be interpreted as a country that has a government system. So, it is very important for a class to have a leader. Usually the election of the chairman is done by voting from class members. Later as a chairman, you will have various obligations. Simple Additive Weighting (SAW) is a method that is often known as the weighted sum method. Based on the needs gathering, an approach is proposed using a decision support system using the SAW method in selecting class leaders. There are 4 criteria used in selecting class leaders. The purpose of the weighted sum is to find the weighted sum of the ratings in each alternative on all criteria. Based on the calculation results using SAW for the election of the class leader, the 1st rank of the class leader election is Ahmad Jatmiko with a score of 0.99. Ranked 2nd in the class leader election was Muhammad Akbar with a score of 0.9. And ranked 3rd in the class leader election is Siti Setianingsih with a score of 0.8525.