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Journal articles on the topic 'Criteria weighting'

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Published: 10 December 2022
Last updated: 29 January 2023

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1

Hu, Eric, Linda Zou, and Craig Langston. "A New Interlink Decision Making Index for Making Multi-criteria Decision." Construction Economics and Building 4, no. 2 (November 18, 2012): 33–42. http://dx.doi.org/10.5130/ajceb.v4i2.2929.

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Multi-criteria decisions usually require measurement or evaluation of performance in different units and their mix by application of weighting factors. This approach lads to potential manipulation of the results as a direct consequence of the applied weightings. In this paper a mechanism that is the brain child of the authors, has been proposed to overcome this problem. It is known as the Interlink Decision Making Index (IDMI) and has all the desired features: simple, interlink (all criteria) and automatically guaranteed dominant influence of critical criteria (i.e. no human weighting needed). The IDMI is capable of reflecting the total merits of a particular option once the normal decision making criteria and (up to two) critical criteria have been chosen. Then, without arbitrarily weighting criteria, comparison and selection of the best possible option can be made. Simple software has been developed to do this numerical transfer and graphic presentation. Two hypothetical examples are presented in the paper to demonstrate the application of the IDMI concept and its advantages over the traditional "tabular and weightingmethod" in the decision making process.
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Reffat, Rabee M., and Edward L. Harkness. "Environmental Comfort Criteria: Weighting and Integration." Journal of Performance of Constructed Facilities 15, no. 3 (August 2001): 104–8. http://dx.doi.org/10.1061/(asce)0887-3828(2001)15:3(104).

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3

Talwar, Balvir. "Comparative study of framework, criteria and criterion weighting of excellence models." Measuring Business Excellence 15, no. 1 (March 22, 2011): 49–65. http://dx.doi.org/10.1108/13683041111113240.

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4

Yeh, Chung-Hsing, Robert J. Willis, Hepu Deng, and Hongqi Pan. "Task oriented weighting in multi-criteria analysis." European Journal of Operational Research 119, no. 1 (November 1999): 130–46. http://dx.doi.org/10.1016/s0377-2217(98)90353-8.

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Yishan Jiao, Visar Berisha, Ming Tu, and Julie Liss. "Convex Weighting Criteria for Speaking Rate Estimation." IEEE/ACM Transactions on Audio, Speech, and Language Processing 23, no. 9 (September 2015): 1421–30. http://dx.doi.org/10.1109/taslp.2015.2434213.

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Huang, Jih-Jeng, and Masahiro Inuiguchi. "Diminishing Utility Decision Model for Weighting Criteria." International Journal of Information Technology & Decision Making 14, no. 06 (November 2015): 1263–84. http://dx.doi.org/10.1142/s0219622015500303.

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The analytic hierarchy/network process (analytic hierarchy process (AHP)/analytic network process (ANP)) became the most popular tool for weighting criteria in the field of multiple criteria analysis during the 1980s. However, these models often suffer from criticisms because of their theoretical and practical problems. In this paper, the diminishing utility decision model (DUDM) is proposed in order to retain the pros and avoid the cons of the AHP and ANP for weighting criteria. The DUDM integrates the AHP and the concept of diminishing marginal utility in order to model the main and interaction weights of criteria, respectively. From the results of the numerical examples, it can be seen that the proposed method can solve two major limitations of the ANP. First, the proposed method can significantly reduce the number of questions that are asked in the ANP. Second, the proposed method can ensure convergence in many situations and avoid the problem of the ANP with regard to the absorbing state.
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Yi, C. S., S. A. Choi, M. P. Shim, H. S. Kim, and B. S. Kim. "Water Allocation by Weighting Factors Considering Multiple Criteria." Water Supply 5, no. 3-4 (November 1, 2005): 105–14. http://dx.doi.org/10.2166/ws.2005.0089.

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Typically, water has been allocated by some priority criteria like water rights in each country . However, water allocation by priority might have the problem in which the area of lowest priority can suffer from water shortage all the time. So, this study has tried to develop water allocation rules by weighting factor techniques. The weighting factors are estimated by sectoral and regional factors. The Analytic Hierarchy Process (AHP) is applied to estimate the sectoral factors and the regional factors can be divided by the regional-characteristic and regional-scale ends. The water allocation rules for the reservoir are developed by applying those weighting factors and the rules are applied to Andong dam reservoir which supplies the water to Busan-Si, Daegu-Si, and Goryeong-Gun, Korea in water deficit situation. As a result, all sectors and regions could share the burdens of water shortage by the water allocation using the relative weighting factors.
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Lawitan, Iwan Bin, Herman Karamoy, and Agus Tony Poputra. "STUDI KOMPARATIF PEMBOBOTAN KRITERIA AUDIT KINERJA AUDITOR BADAN PEMERIKSA KEUANGAN DENGAN PEMBOBOTAN MENGGUNAKAN METODE ANALYTICAL HIERARCY PROCESS (STUDI KASUS PADA INSPEKTORAT KABUPATEN KEPULAUAN TALAUD)." ACCOUNTABILITY 5, no. 2 (December 31, 2016): 191. http://dx.doi.org/10.32400/ja.14435.5.2.2016.191-206.

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This study aimed to recalculate the weighting of performance audit criteria by using Anlytical Hierarchy Process Method and comparing its results with the weighting of performance audit of Indonesian Supreme Audit Institution’s Auditor (BPK). Research conducted on Supervisory Apparatus Capability Model Government (APIP) at the Office of Inspectorate of Talaud Regency. This research is a descriptive qualitative-quantitative approach.Method of data collection with interviews, documentation and questionnaire. The results showed that in weighting of performance audit criteria, BPK’s auditor still use direct weighting and judgment, and there is a difference of percentage between performance audit criteria of BPK auditor and using AHP method. Keywords : Weighting, Performance Audit Criteria, AHP
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9

Toktaş, Pelin, and Gülin Feryal Can. "Stochastic KEMIRA-M Approach with Consistent Weightings." International Journal of Information Technology & Decision Making 18, no. 03 (May 2019): 793–831. http://dx.doi.org/10.1142/s0219622019500123.

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This study proposes an advanced Modified KEmeny Median Indicator Rank Accordance (KEMIRA-M) approach based on stochastic evaluation process considering consistent weights to improve effective usage of KEMIRA-M. In the proposed approach, tasks related to the decision issue are performed by decision makers to ensure the understanding sufficiency of alternatives in terms of criteria more clearly. The weighting procedure of Analytic Hierarchy Process (AHP) is implemented in a stochastic manner benefited from discrete uniform distribution to provide obtaining consistent criteria weights considering median priority components. Therefore, different trials including different number of replications that shows the number of decision makers are performed and the most consistent weightings are determined for each trial in the stochastic process. In this way, the dependency to the limited numbers of decision makers and to determine criteria weights in a heuristic manner in KEMIRA-M is prevented. Additionally, the effect of the number of decision makers on criteria weightings and alternatives’ ranking process is shown. To obtain the most consistent weighting results, this stochastic process is utilized until acquiring approximate consistency ratios. The proposed stochastic KEMIRA-M approach is utilized to rank nine shopping malls (SMs) in Ankara in terms of technical criteria (TC) and universal design criteria (UDC). It was seen from the ranking results that the first SM (SM1) is the best one.
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10

Gompf, Katharina, Marzia Traverso, and Jörg Hetterich. "Using Analytical Hierarchy Process (AHP) to Introduce Weights to Social Life Cycle Assessment of Mobility Services." Sustainability 13, no. 3 (January 26, 2021): 1258. http://dx.doi.org/10.3390/su13031258.

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Decisions in social sustainability assessment of mobility services often pose a multi-criteria decision-making issue, as trade-offs can occur between multiple alternatives and a participatory process should be used. Thus, the goal of this research is to support decision-making through determining weightings for different criteria and indicators for social sustainability assessment of mobility services. For the weighting process, the analytical hierarchy process (AHP) method was used. A participatory analysis was chosen to identify those weightings. In total, 48 experts in the field of sustainable urban mobility were questioned from three different groups: academic institutions, city authorities, and mobility service providers in order to analyze differences and similarities between these groups. While some indicators resulted in clear prioritization, other indicators revealed large differences between the expert groups. For the majority of indicators, the weighting results were similar for all three groups of experts. Consequently, the results provide clear guidance for decision-makers in the field of sustainable urban mobility.
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Venslavienė, Santautė, Jelena Stankevičienė, and Agnė Vaiciukevičiūtė. "Assessment of Successful Drivers of Crowdfunding Projects Based on Visual Analogue Scale Matrix for Criteria Weighting Method." Mathematics 9, no. 14 (July 6, 2021): 1590. http://dx.doi.org/10.3390/math9141590.

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When investing in crowdfunding projects, every investor has some difficulties in selecting the right one. The most important issue is choosing criteria that show the value of the specific project. The aim of this study was to determine which of the criteria are the most important for investors when selecting various crowdfunding projects to fund. A visual analogue scale matrix for criteria weighting (VASMA weighting) methodology was used to determine the main criteria that affect investors’ decisions to invest. The VASMA methodology can capture both objective and subjective parts of criteria weighting. In addition, the risk factor was considered a success driver of crowdfunding projects. The main findings reveal that the criteria of the three risk groups have the highest weights of the VASMA weighting methodology. In this research, only investor preferences were chosen and analyzed for successful crowdfunding project investment. The VASMA weighting methodology’s criteria ranking might help investors select the most exciting crowdfunding project to fund.
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Roszkowska, Ewa. "Rank Ordering Criteria Weighting Methods – a Comparative Overview." Optimum. Studia Ekonomiczne, no. 5(65) (2013): 14–33. http://dx.doi.org/10.15290/ose.2013.05.65.02.

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13

Ristono, A. "NEW METHOD OF CRITERIA WEIGHTING FOR SUPPLIER SELECTION." Russian Journal of Agricultural and Socio-Economic Sciences 87, no. 3 (March 27, 2019): 349–69. http://dx.doi.org/10.18551/rjoas.2019-03.42.

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14

Johnsen, Fredrik Moltu, and Søren Løkke. "Review of criteria for evaluating LCA weighting methods." International Journal of Life Cycle Assessment 18, no. 4 (September 15, 2012): 840–49. http://dx.doi.org/10.1007/s11367-012-0491-y.

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15

Odu, G. O. "Weighting methods for multi-criteria decision making technique." Journal of Applied Sciences and Environmental Management 23, no. 8 (September 11, 2019): 1449. http://dx.doi.org/10.4314/jasem.v23i8.7.

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Lescauskiene, Ingrida, Romualdas Bausys, Edmundas Kazimieras Zavadskas, and Birute Juodagalviene. "VASMA Weighting: Survey-Based Criteria Weighting Methodology that Combines ENTROPY and WASPAS-SVNS to Reflect the Psychometric Features of the VAS Scales." Symmetry 12, no. 10 (October 6, 2020): 1641. http://dx.doi.org/10.3390/sym12101641.

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Data symmetry and asymmetry might cause difficulties in various areas including criteria weighting approaches. Preference elicitation is an integral part of the multicriteria decision-making process. Weighting approaches differ in terms of accuracy, ease of use, complexity, and theoretical foundations. When the opinions of the wider audience are needed, electronic surveys with the matrix questions consisting of the visual analogue scales (VAS) might be employed as the easily understandable data collection tool. The novel criteria weighting technique VASMA weighting (VAS Matrix for the criteria weighting) is presented in this paper. It respects the psychometric features of the VAS scales and analyzes the uncertainties caused by the survey-based preference elicitation. VASMA weighting integrates WASPAS-SVNS for the determination of the subjective weights and Shannon entropy for the calculation of the objective weights. Numerical example analyzing the importance of the criteria that affect parents’ decisions regarding the choice of the kindergarten institution was performed as the practical application. Comparison of the VASMA weighting and the direct rating (DR) methodologies was done. It revealed that VASMA weighting is able to overcome the main disadvantages of the DR technique—the high biases of the collected data and the low variation of the criteria weights.
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Parry, Luke A., Matthew G. Baron, and Jakob Vinther. "Multiple optimality criteria support Ornithoscelida." Royal Society Open Science 4, no. 10 (October 2017): 170833. http://dx.doi.org/10.1098/rsos.170833.

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A recent study of early dinosaur evolution using equal-weights parsimony recovered a scheme of dinosaur interrelationships and classification that differed from historical consensus in a single, but significant, respect; Ornithischia and Saurischia were not recovered as monophyletic sister-taxa, but rather Ornithischia and Theropoda formed a novel clade named Ornithoscelida. However, these analyses only used maximum parsimony, and numerous recent simulation studies have questioned the accuracy of parsimony under equal weights. Here, we provide additional support for this alternative hypothesis using Bayesian implementation of the Mkv model, as well as through number of additional parsimony analyses, including implied weighting. Using Bayesian inference and implied weighting, we recover the same fundamental topology for Dinosauria as the original study, with a monophyletic Ornithoscelida, demonstrating that the main suite of methods used in morphological phylogenetics recover this novel hypothesis. This result was further scrutinized through the systematic exclusion of different character sets. Novel characters from the original study (those not taken or adapted from previous phylogenetic studies) were found to be more important for resolving the relationships within Dinosauromorpha than the relationships within Dinosauria. Reanalysis of a modified version of the character matrix that supports the Ornithischia–Saurischia dichotomy under maximum parsimony also supports this hypothesis under implied weighting, but not under the Mkv model, with both Theropoda and Sauropodomorpha becoming paraphyletic with respect to Ornithischia.
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Alfares, Hesham K., and Salih O. Duffuaa. "Simulation-Based Evaluation of Criteria Rank-Weighting Methods in Multi-Criteria Decision-Making." International Journal of Information Technology & Decision Making 15, no. 01 (January 2016): 43–61. http://dx.doi.org/10.1142/s0219622015500315.

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This paper presents a simulation study to assess the performance of the five known methods for converting ranks of several criteria into weights in multi-criteria decision-making. The five methods assessed for converting criteria ranks into weights are: rank- sum (RS) weights, rank reciprocal (RR) weights, rank order centroid (ROC) weights, geometric weights (GW), and variable-slope linear (VSL) weights. The methods are compared in terms of weight estimation accuracy considering different numbers of criteria and decision makers’ (MS) preference structures. Alternative preference structures are represented by different probability distributions of randomly generated criteria weights, namely the uniform, normal, and exponential distributions. Results of the simulation experiments indicate that no single method is consistently superior to all others. On average, RS is best for uniform weights, VSL is best for normal weights, and ROC is best for exponential weights. However, for any multi-criteria decision-making (MCDM) problem, the best method for converting criteria ranks into weights depends on both the number of criteria and the weight distribution.
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19

LUND, JAY R. "UTILITY THEORY VIOLATIONS BY MULTI-CRITERIA HIERARCHICAL WEIGHTING METHODS." Civil Engineering Systems 11, no. 3 (December 1994): 197–207. http://dx.doi.org/10.1080/02630259408970146.

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20

Andajani, S., D. P. A. Hidayat, and B. E. Yuwono. "Development of weighting value for ecodrainage implementation assessment criteria." IOP Conference Series: Earth and Environmental Science 106 (January 2018): 012116. http://dx.doi.org/10.1088/1755-1315/106/1/012116.

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21

Romadhayu, Adiliya, and Yuliani Puji Astuti. "PENERAPAN FUZZY ANALYTIC NETWORK PROCESS (FANP) UNTUK PENENTUAN PRIORITAS KRITERIA PADA PEMILIHAN MAHASISWA BERPRESTASI DI UNESA." MATHunesa: Jurnal Ilmiah Matematika 8, no. 2 (June 18, 2020): 100–109. http://dx.doi.org/10.26740/mathunesa.v8n2.p100-109.

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The selection of outstanding students needs to be done at each university, so that the potential possessed by students in the form of hard skills and soft skills can be increased and the achievements obtained are better. Hard skills and soft skills can be developed by the students participate in various activities that have been made by the department, faculty, and campus. Outstanding students mentioned in this regard should have a good performance in academic and non academic. In the Achievement Student Selection (Pilmapres) there are several criteria that must be met. To determine the priority criteria that influence in this Pilmapres it is necessary to calculate the weight of each criterion. In this study the Fuzzy Analytic Network Process (FANP) method is used. Fuzzy Analytic Network Process (FANP) method is a combination of fuzzy method and Analytic Network Process (ANP) method. By using the FANP method it can be seen that the criteria which are very influential are the criteria for the achievement of field competition where the weight is 22%, the award rate criteria is 17,9%, the weighting criteria for the superior performance results is 14,1%, the weighting criteria for the superior performance award is 11,9%, the weighting of the role criteria in the superior achievements was 11,6%, the weighting of the registrant identity criteria was 10,9%, and the weighting of the career criteria in the organization was 7,6%. For the sub-criteria that influence in the Pilmapres, among others, are innovative findings which have a weight of 27,6%, a work subcriteria 26,9% and a product subcriteria 25,6%.
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Nanda Devita, Lolla Rizky, and Dina Fitrisia Septiarini. "Analisis Kriteria Penetapan Nilai Bagi Hasil Pendanaan Dengan Menggunakan Teknik ANP (Studi Kasus Pada Bank JATIM Syariah)." Jurnal Ekonomi Syariah Teori dan Terapan 3, no. 8 (February 18, 2017): 600. http://dx.doi.org/10.20473/vol3iss20168pp600-614.

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The purpose of this study was to find out what is the main criteria in determining revenue sharing value of funding based on interdependence level of internal and external factors by using ANP techniques at Bank Jatim Syariah. The research method used is descriptive qualitative approach with study case method. Data collected by interviews, questionnaires, documentation and other literature. Analysis technique used is the technique of Analytic Network Process (ANP) with weighting questionnaires given to the informant. Weighting is done through comparison between the criteria, sub-criteria and sub-criteria traffic. Results from this study are the criteria of internal factors with sub criteria bank revenue of 0.17416 become a major criterion in the decision-making on determination of revenue sharing value of Funding in Bank Jatim Syariah. Results of the weighting of criteria and sub - criteria through the geometricmean of three informants of Bank Jatim Syariah.
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Hashemkhani Zolfani, Sarfaraz, and Arman Derakhti. "Synergies of Text Mining and Multiple Attribute Decision Making: A Criteria Selection and Weighting System in a Prospective MADM Outline." Symmetry 12, no. 5 (May 25, 2020): 868. http://dx.doi.org/10.3390/sym12050868.

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In this study, a new way of criteria selection and a weighting system will be presented in a multi-disciplinary framework. Weighting criteria in Multi-Attribute Decision Making (MADM) has been developing as the most attractive section in the field. Although many ideas have been developed during the last decades, there is no such great diversity that can be mentioned in the literature. This study is looking from outside the box and is presenting something totally new by using big data and text mining in a Prospective MADM outline. PMADM is a hybrid interconnected concept between the Futures Studies and MADM fields. Text mining, which is known as a useful tool in Futures Studies, is applied to create a widespread pilot system for weighting and criteria selection in the PMADM outline. Latent Semantic Analysis (LSA), as an influential method inside the general concept of text mining, is applied to show how a data warehouse’s output, which in this case is Scopus, can reach the final criteria selection and weighting of the criteria.
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Wibawa, Aji Prasetya, Juwita Annisa Fauzi, Seno Isbiyantoro, Rahmat Irsyada, Dhaniyar Dhaniyar, and Leonel Hernandez. "VIKOR multi-criteria decision making with AHP reliable weighting for article acceptance recommendation." International Journal of Advances in Intelligent Informatics 5, no. 2 (April 3, 2019): 160. http://dx.doi.org/10.26555/ijain.v5i2.172.

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DSS is built to support the solution recommendation of a problem. AHP and VIKOR are examples of DSS method. Due to VIKOR’s subjective weighting, this study combines the AHP and VIKOR approach to create a better and more reliable decision support system. The DSS is used to recommend article acceptance using five criteria: originality, quality, clarity, significance, and relevance. The results showed that AHP-VIKOR outperforms the performance of VIKOR. AHP weighting reliably replaces the subjective VIKOR’s initial weighting. The AHP-VIKOR result is more accurate and steadier than VIKOR. Thus, AHP-VIKOR can be presented as a proposed approach for creating a recommendation of scientific article acceptance.
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Khasanah, Fata Nidaul. "Metode Simple Additive Weighting Untuk Mendukung Pemilihan Laptop." PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic 7, no. 1 (March 19, 2019): 91–100. http://dx.doi.org/10.33558/piksel.v7i1.1657.

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Abstract A lot of number of brands and types of laptops in the market with different types of specifications and price could make the consumer difficult in choosing an appropriate laptop according his/her needs. Therefore, a research was employed in determining the type of laptop with decision support method using Simple Additive Weighting. In the process, the calculations done in advance by the election of alternative types of laptops and the criteria used. Assessment criteria comprised of price, hard drive, RAM, processor and VGA after determining the criteria, followed by the decisive importance of the assessment criteria and determine the suitability of an alternative rating against each of the criteria. From rating a match then the decision matrix is obtained, followed by determining the normalized matrix. The last stage, namely determining the rank of each alternative. From the results of the calculation method of Simple Additive Weighting retrieved results alternative laptop was chosen based on these criteria above. Keywords: Decision Support System, Selection Laptop, Simple Additive Weighting Abstrak Banyaknya merk dan tipe laptop yang dijual di pasaran dengan berbagai jenis spesifikasi dan variasi harga dapat membingungkan konsumen dalam memilih laptop yang sesuai dengan kebutuhannya. Berdasarkan permasalahan yang ada maka penelitian ini mencoba membangun sistem pemilihan laptop dengan menggunakan metode pendukung keputusan Simple Additive Weighting. Dalam proses perhitungannya terlebih dahulu dilakukan pemilihan alternatif jenis laptop dan kriteria penilaian yang digunakan. Kriteria penilaian terdiri dari harga, hardisk, RAM, prosesor dan VGA. Setelah menentukan kriteria dilanjutkan dengan menentukan penilaian tingkat kepentingan kriteria dan menentukan rating kecocokan alternatif terhadap setiap kriteria. Dari rating kecocokan maka diperoleh matriks keputusan, dilanjutkan dengan menentukan matriks ternormalisasi. Tahap terakhir yaitu menentukan perangkingan setiap alternatif. Dari hasil perhitungan metode Simple Additive Weighting diperoleh hasil alternatif laptop yang sesuai kriteria Kata kunci: Pemilihan Laptop, Simple Additive Weighting, Sistem Pendukung Keputusan
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Dömeová, L., M. Houška, and M. Beránková. "Multiple-criteria approach for strategy adaptation in SME’s." Agricultural Economics (Zemědělská ekonomika) 52, No. 4 (February 17, 2012): 155–59. http://dx.doi.org/10.17221/5010-agricecon.

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The formulation and adaptation of a firm strategy in small and medium enterprises depends on the management qualification and available project and modeling tools. With regard to the conditions in small Czech companies engaged in agribusiness, we encourage using uncomplicated quantitative models, the results of which can be also valuable. In the contribution, we show the possible utilization of simple additive weighting method for price assessment. 
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Ghazali, Alfin, Poltak Sihombing, and Muhammad Zarlis. "Weighting Comparative Analysis Using Fuzzy Logic and Rank Order Centroid (ROC) in the Simple Additive Weighting (SAW) Method." International Journal of Natural Science and Engineering 5, no. 2 (September 13, 2021): 49. http://dx.doi.org/10.23887/ijnse.v5i2.37847.

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The Covid-19 outbreak has changed the learning system in Indonesia into distance learning, better known as online learning. In determining student learning outcomes on student learning satisfaction with distance learning during the Covid-19 pandemic, a study was carried out using the Simple Additive Weighting (SAW) method. This study aims to determine student learning outcomes during the Covid-19 pandemic. The type of research used in this research is applied research, in which this research is directed to obtain information that can be used to solve problems. The method used is Simple Additive Weighting (SAW) by comparing the results of the decision of the SAW method between the weighting based on the Fuzzy Logic method and the weighting based on the ROC method. The subjects involved in this study were 36 students of Vocational High School (SMK). Data collection in the study was carried out using direct observation, interviews, and questionnaires. The criteria contained in the questionnaire are factors that affect the process of student learning outcomes on learning satisfaction during the Covid-19 pandemic. The criteria used are device ownership, accessibility, ease of obtaining materials, method accuracy, monitoring ability, interactivity, and independent learning. From the seven criteria, the priority scale is determined. The results showed that the analysis of the search for weight scores using the Simple Additive Weighting (SAW) method using Fuzzy Logic and Simple Additive Weighting (SAW) using the Rank Order Centroid (ROC) method resulted in different sub-criteria weighting scores, so it can be said that the combination of SAW- ROC provides a more accurate and more selective selection of the number of students.
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Zhang, Hongping, Zhenfeng Shao, Wenfu Wu, Xiao Huang, Jisong Sun, Jinqi Zhao, and Yewen Fan. "Comparing the Sensitivity of Pixel-Based and Sub-Watershed-Based Analytic Hierarchy Process to Weighting Criteria for Flood Hazard Estimation." Photogrammetric Engineering & Remote Sensing 88, no. 5 (May 1, 2022): 343–52. http://dx.doi.org/10.14358/pers.21-00087r2.

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In flood hazard estimation via the analytic hierarchy process (AHP), using the pixel as the basic unit might lead to accuracy relying on the optimal weighting criteria. To this end, considering the sub-watershed as the basic unit is new. In this study, taking the Chaohu Basin in Anhui Province, China, as a study case, the accuracy of the sensitivity of the pixel-based and sub-watershed-based AHP models influenced by weighting criteria was compared. There were 48 judgment ma- trixes defined, following the same order of importance of the involved indicators. Validation ground truthing is constructed by the extracted flooded regions from GF-3 images. As weighting criteria changed, the results indicated that the pixel-based AHP fluctuated significantly, while the correct ratio and fit ratio derived by the sub-watershed-based AHP could improve by >35% and >5%, respectively, over the pixel-based-AHP. It indicated that the sub-watershed-based AHP has an advantage in relying less on in situ weighting criteria than the pixel-based AHP.
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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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Abdul Halim, Norfazilah Binti, Aliff Radzuan Bin Mohamad Radzi, Nor Zalina Binti Kasim, and Faiz Bin Mohd Turan. "A Systematic Literature Review of Multi-Criteria Analysis Model Methods on Sustainability Weighting for Ethanol Plant." ASM Science Journal 16 (December 23, 2021): 1–13. http://dx.doi.org/10.32802/asmscj.2021.850.

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The sustainability weighting is crucial as it is practically implemented into sustainability evaluation, especially in industrial development. Sustainability is about the interconnection between three aspects of sustainability impact such as economic impact, environmental impact, and social impact. Multi-Criteria Analysis (MCA) model play important roles to measure the weighting for each impact according to the scenario and criteria selected based on scientific rules and robust statistical methods. However, there were insufficient studies on the existing literature sustainability weighting model from MCA method for the ethanol plant. Hence, the present paper demonstrates a systematic literature review of MCA model methods on sustainability weighting for the ethanol plant. There are two steps involved in systematic literature reviews: formulation of the research question and systematic searching strategies consisting of identification, screening, eligibility, quality appraisal, data abstraction and analysis. The review is based on leading databases; Scopus – ScienceDirect, Springer, Taylor and Francis, and one supporting database – Google Scholar. From the review, the preferable MCA weighting model for sustainability evaluation of ethanol plants is ‘integrated Analytical Hierarchy Process (AHP)’ rather than ‘standalone AHP’. The paper offered a significant contribution to the body of knowledge and sustainability evaluation purposes.
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Kobryń, Andrzej. "DEMATEL as a weighting method in multi-criteria decision analysis." Multiple Criteria Decision Making 12 (2017): 153–67. http://dx.doi.org/10.22367/mcdm.2017.12.11.

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CheinShung Hwang. "Genetic Algorithms for Feature Weighting in Multi-criteria Recommender Systems." Journal of Convergence Information Technology 5, no. 8 (October 31, 2010): 126–36. http://dx.doi.org/10.4156/jcit.vol5.issue8.13.

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Rădulescu, C. Z., M. Rădulescu, A. Alexandru, M. Ianculescu, and V. Vevera. "A multi-criteria weighting approach for Quality of Life evaluation." Procedia Computer Science 162 (2019): 532–38. http://dx.doi.org/10.1016/j.procs.2019.12.020.

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Carrizosa, E., E. Conde, F. R. Fernandez, and J. Puerto. "Multi-criteria analysis with partial information about the weighting coefficients." European Journal of Operational Research 81, no. 2 (March 1995): 291–301. http://dx.doi.org/10.1016/0377-2217(93)e0270-8.

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Song, Jiekun, Lina Jiang, Zhicheng Liu, Xueli Leng, and Zeguo He. "Selection of Third-Party Reverse Logistics Service Provider Based on Intuitionistic Fuzzy Multi-Criteria Decision Making." Systems 10, no. 5 (October 14, 2022): 188. http://dx.doi.org/10.3390/systems10050188.

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The scientific selection of a third-party reverse logistics service provider (3PRLP) is helpful for enterprises to obtain the expected ecological and economic benefits. Different enterprises have different requirements for 3PRLP selection and, thus, should adopt personalized and simplified evaluation criteria. However, there is a lack of research on criteria screening. Therefore, this paper proposes a criteria screening method based on a rough set for the first time. The 3PRLP selection is a multi-criteria decision making (MCDM) problem in essence, and different criteria can be expressed in different forms. The existing research mostly uses one method for 3PRLP selection, lacking the comprehensive application of various methods. In this paper, various criteria values are transformed into intuitionistic fuzzy numbers (IFNs) for the comparison and combination of various intuitionistic fuzzy MCDM methods. In terms of criteria weighting, a subjective weighting method based on an analytical network process (ANP) is proposed due to the possible correlation between the criteria at the same level. Meanwhile, an objective weighting method based on intuitionistic fuzzy entropy is proposed. The subjective and objective weights are integrated to form the more scientific combination weights. Combining the modeling principles of different intuitionistic fuzzy MCDM methods, the representative methods under each principle are chosen to build a combination evaluation idea that integrates multiple single evaluation models, and the specific evaluation steps are given, including the single evaluation, Kendall compatibility test, combination evaluation, and Spearman consistency test. An illustrative example of 3PRLP selection is provided to verify the feasibility of the methods of criteria screening and weighting and the combination evaluation idea.
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Hamdani, Hamdani, Retantyo Wardoyo, and Khabib Mustofa. "Weighting Model for Group Decision Support System: A Review." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 3 (September 1, 2018): 962. http://dx.doi.org/10.11591/ijeecs.v11.i3.pp962-974.

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This paper was conducted a survey of research findings related to decision-making in groups using weighting techniques This paper conducts a survey of research findings related to decision-making in groups using weighting techniques, therefore, a new weighting model can be proposed.. In order to make a decision, this model works based on the weighting parameters, criteria or decision makers (DM) to give ranking preference in the decision results. Weighting could be done objectively or subjectively by statistical calculations. Subjective weighting based on an understanding or expertise of the decision-making process, furthermore, a numerical value was needed to make it objective. The previous weighting models need to be modified for the development of group decision support systems (GDSS). It is required to accommodate the interests of all stakeholders to link the DM relationship. We formed several groups of weighting methods that currently use for the trend of group decision-making (GDM). It showed that the classical multi-criteria decision-making (MCDM) models are still dominant in solving GDSS problems, therefore, it was necessary to apply hybrid MCDM with an approach method of stakeholders models and social networks (SN) to improve decision model that has been applied in the previous research.
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Sant’Anna, Annibal Parracho. "Standards for the Weighting of Criteria and the Measurement of Interaction." Standards 1, no. 2 (November 5, 2021): 105–16. http://dx.doi.org/10.3390/standards1020010.

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This article discusses the need for standards for the assignment of importance to criteria and the measurement of interaction between them in multiple criteria analyses of complex systems. A strategy for criteria evaluation is considered that is suitable to account for the interaction among a wide variety of imprecisely assessed criteria applied simultaneously. It is based on the results of collecting sample information on preferences according to the specified criteria instead of merely an abstract comparison of the criteria. The comparison of alternatives is based on objectives that determine the formation of preferences. It is facilitated by a rating in terms of preference probabilities. Probabilistic standards grant homogeneity of measurements by different criteria, which is useful for the combination of the criteria. These standards apply to a sampling evaluation conducted via pairwise trichotomic comparison of the alternatives according to each criterion, followed by the combination of these multiple evaluations into a single global score by means of the Choquet Integral with respect to a capacity determined by applying preference concentration to the sets of probabilistic assessments. Examples of practical application are discussed.
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Lacroix, Pierre, Helder Santiago, and Nicolas Ray. "MASCOT: Multi-Criteria Analytical SCOring Tool for ArcGIS Desktop." International Journal of Information Technology & Decision Making 13, no. 06 (November 2014): 1135–59. http://dx.doi.org/10.1142/s0219622014500783.

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Multicriteria Analytical SCOring Tool (MASCOT) is a decision-support tool based on spatial analysis that can score items (points, lines, and polygons) as a function of their Euclidian distance to other data (points, lines, polygons, rasters). MASCOT is integrated with ArcGIS 9.3.1 and makes it possible to achieve a complete workflow that may include data preparation and grouping of factors by theme, weighting, scoring, post-processing and decision-making. To achieve the weighting process, the Analytic Hierarchy Process (AHP) has been integrated. MASCOT was originally developed for the demining community, with the purpose of prioritizing clearance of mine hazards as a function of their distance to a set of predefined and measurable factors. We show here an example based on mine action data, but MASCOT is not limited to this community and many other application fields will benefit from it.
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M. Mabkhot, Mohammed, Saber Darmoul, Ali M. Al-Samhan, and Ahmed Badwelan. "A Multi-Criteria Decision Framework Considering Different Levels of Decision-Maker Involvement to Reconfigure Manufacturing Systems." Machines 8, no. 1 (February 21, 2020): 8. http://dx.doi.org/10.3390/machines8010008.

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Reconfigurable Manufacturing Systems (RMSs) rely on a set of technologies to quickly adapt the manufacturing system capacity and/or functionality to meet unexpected disturbances, such as fluctuation/uncertainty of demand and/or unavailability/unreliability of resources. At the operational stage, such disturbances raise new production requirements and risks, which call upon Decision-Makers (DMs) to analyze the opportunity to move from a running configuration to another more competitive one. Such a decision is generally based on an evaluation of a multitude of criteria, and several multi-criteria decision-making (MCDM) approaches have been suggested to help DMs with the reconfiguration process. Most existing MCDM approaches require some assignment of weights to the criteria, which is not a trivial task. Unfortunately, existing studies on MCDM for an RMS have not provided guidelines to weigh the evaluation criteria. This article fills in this gap by offering a framework to set up such weights. We provide a comprehensive set of quantitative indicators to evaluate the reconfiguration decisions during the operation of the RMS. We suggest three weighting methods that are convenient to different levels of DM expertise and desired degree of involvement in the reconfiguration process. These weighting methods are based on (1) intuitive weighting, (2) revised Simos procedural weighting combined with the Technique for Order of Preferences by Similarity to Ideal Solution (TOPSIS), and (3) DM independent weighting using ELECTRE IV. The implementation of the suggested framework and a comparison of the suggested methods carried out on an industrial case study are described herein.
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Krishnan, Anath Rau, Maznah Mat Kasim, Rizal Hamid, and Mohd Fahmi Ghazali. "A Modified CRITIC Method to Estimate the Objective Weights of Decision Criteria." Symmetry 13, no. 6 (May 31, 2021): 973. http://dx.doi.org/10.3390/sym13060973.

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In this study, we developed a modified version of the CRiteria Importance Through Inter-criteria Correlation (CRITIC) method, namely the Distance Correlation-based CRITIC (D-CRITIC) method. The usage of the method was illustrated by evaluating the weights of five smartphone criteria. The same evaluation was repeated using four other objective weighting methods, including the original CRITIC method. The results from all the methods were further analyzed based on three different tests (i.e., the distance correlation test, the Spearman rank-order correlation test, and the symmetric mean absolute percentage error test) to validate D-CRITIC. The tests revealed that D-CRITIC could produce more valid criteria weights and ranks than the original CRITIC method since D-CRITIC yielded a higher average distance correlation, a higher average Spearman rank-order correlation, and a lower symmetric mean absolute percentage error. Besides, additional sensitivity analysis indicated that D-CRITIC has the tendency to deliver more stable criteria weights and ranks with a larger decision matrix. The research has contributed an alternative objective weighting method to the area of multi-criteria decision-making through a unique extension of distance correlation. This study is also the first to propose the idea of a distance correlation test to compare the performance of different criteria weighting methods.
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KALUTARA, Pushpitha, Guomin ZHANG, Sujeeva SETUNGE, and Ron WAKEFIELD. "PRIORITISING SUSTAINABILITY FACTORS FOR AUSTRALIAN COMMUNITY BUILDINGS’ MANAGEMENT USING ANALYTICAL HIERARCHY PROCESS (AHP)." International Journal of Strategic Property Management 24, no. 1 (March 20, 2018): 37–50. http://dx.doi.org/10.3846/ijspm.2018.318.

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The essence of Australian community buildings’ sustainable management drives through a previously established decision-making structure with four sustainability aspects and accompanying 18 criteria. Informed decisions are supported with a decision-making model that generates sustainability impacts of building components based on this decision-making structure. Building components’ individual impacts can be assigned using a numbering scale incorporated with linguistic terms. However, similar importance given to each aspect or criterion is arguable when the combined effect is considered. Hence, they should be given different weightings and their combination with individual impacts will produce final sustainability impacts. For calculating weightings, the study uses Analytical Hierarchy Process (AHP), widely used technique in Multi Attribute Decision-Making (MADM). The study also conducted an industry-wide questionnaire across Australian local councils because pair-wise comparison data is essential for weighting calculation. This paper presents the survey data and analysis results that captured weightings of sustainability aspects and criteria.
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Zahariea, Dănuţ, Dorin Emil Husaru, and Mihai Silviu Pavăl. "A TOPSIS-based approach for wind turbines ranking with negative performance ratings and different weighting strategies." E3S Web of Conferences 85 (2019): 03003. http://dx.doi.org/10.1051/e3sconf/20198503003.

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This paper presents an application of TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) multi-dimensional criteria decision-making method for a case study related with a wind turbine based on-grid power supply system with negative performance ratings and different weighting strategies. Two wind turbines (XZ and XL) are comparatively analysed with respect to a power supply system for an industrial consumer and a given site. The site wind potential has been obtained from NASA Surface meteorology and Solar Energy database. The on-grid power supply system has been modelled and simulated using HOMER Pro software. Ten attributes have been considered: five technical criteria, four financial criteria and one environmental criterion. Eleven different weighting strategies have been considered. From all these weighting strategies, the XZ wind turbine has been selected in 8 cases while the XL wind turbine has been selected in 2 cases. For two particular weighting strategies, the most suitable alternative (XZ) coincides with the ideal solution, while the other alternative (XL) coincides with the negative ideal solution.
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Weku, Winsy. "PENDEKATAN SPASIAL DALAM MENENTUKAN WILAYAH TANAM KELAPA MENGGUNAKAN METODE SAW." d'CARTESIAN 2, no. 2 (September 30, 2013): 41. http://dx.doi.org/10.35799/dc.2.2.2013.3435.

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Abstrak Penentuan wilayah tanam kelapa merupakan hal yang penting untuk dibahas, karena memerlukan masukan dari beberapa pihak. Dalam penelitian ini menggunakan pihak ahli dari Balai Penelitian Kelapa Sulawesi Utara untuk menentukan kriteria dari penentuan wilayah tanam kelapa. Metode yang digunakan disini adalah Multi Criteria Decision Making dalam hal ini teknik Simple Additive Weighting. Lokasi yang didapatkan adalah Kabupaten Minahasa, Kota Bitung dan Manado, kemudian divisualisasikan dalam peta tematik. Kata kunci : Wilayah Tanam Kelapa, Multi Criteria Decision Making, Simple Additive Weighting Abstract Determination of coconut planting area is important to be discussed, because it requires input from multiple parties. In this study using the Coconut Research Institute experts from North Sulawesi to determine the criteria of determination of the coconut growing regions. The method used here is a Multi-Criteria Decision Making in the Simple Additive Weighting techniques. The locations obtained are Minahasa District, City of Bitung and Manado, then visualized in a thematic map.
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Ka, Teh Yu, and Wahyu Tisno Atmojo. "DECISION SUPPORT SYSTEM FOR SELECTING DOCTORS IN APPLICATION X USING ANALYTICAL HIERARCHY PROCESS (AHP)." Jurnal Teknik Informatika (Jutif) 3, no. 4 (August 20, 2022): 857–62. http://dx.doi.org/10.20884/1.jutif.2022.3.4.284.

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Doctors are one of the human resources contributing to the world of health, especially in the current COVID-19 pandemic situation. With the pandemic and increasing technological developments, this sat have sprung up many digital-based health service applications that can help the community, especially its users in health consultations, looking for health articles, and hospital searches. In this digital-based health service, if you want to consult online or make an appointment, there are many choices of doctors available with various criteria. This method is used to obtain weighting (Eigen Vector) criteria used to facilitate making decisions, which is to choose a doctor for consultation or appointment. With three criteria (experience, consultation price, and user satisfaction level) and alternatives (Dr. A, Dr. B, Dr. C) obtained weighting (Eigen Vector) or the best alternative option is Dr. A with a weighting value of 0.509, which has 27 years of experience criteria, a consultation price of Rp. 30,000.00, and a user satisfaction rate of 96%.
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Mohd Ishak, Noordiana, Sivakumar Dhar Malingam, and Muhd Ridzuan Mansor. "Weighting of Natural Fibre Criteria for Fibre Metal Laminate Using Entropy Method for Car Front Hood Utilization." Key Engineering Materials 740 (June 2017): 75–80. http://dx.doi.org/10.4028/www.scientific.net/kem.740.75.

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Material selection is one of the crucial stages in design and development process which depend on various physical, mechanical and manufacturing properties. To increase the success probability of the product, the designer needs to decide the suitable material. Therefore, to increase the reliability of the product, entropy method could be applied to determine the importance of criteria for the material used. Entropy method is a highly reliable and can be adjusted to information measurement to determine weighting criteria in decision making environment. Weighting criteria of material play a very significant role in the ranking results of the material selection. Therefore, the aim of this study is to utilise entropy method to rank the main criteria of the natural fibre used in fibre metal laminate panel for car front hood design. It is important to define the main criteria of materials during the material selection process to prevent any mechanical failure and to control the raw material cost. Most of the fibre metal laminate in the market utilise synthetic fibre, while natural fibre is rarely explored. Entropy method was applied to determine the main criteria weighting of natural fibre using five criteria. The result showed the highest rank to the lowest rank for the main criteria is density, stiffness, water absorption, cost and finally availability.
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Keshavarz-Ghorabaee, Mehdi, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis, and Jurgita Antucheviciene. "Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)." Symmetry 13, no. 4 (March 24, 2021): 525. http://dx.doi.org/10.3390/sym13040525.

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The weights of criteria in multi-criteria decision-making (MCDM) problems are essential elements that can significantly affect the results. Accordingly, researchers developed and presented several methods to determine criteria weights. Weighting methods could be objective, subjective, and integrated. This study introduces a new method, called MEREC (MEthod based on the Removal Effects of Criteria), to determine criteria’ objective weights. This method uses a novel idea for weighting criteria. After systematically introducing the method, we present some computational analyses to confirm the efficiency of the MEREC. Firstly, an illustrative example demonstrates the procedure of the MEREC for calculation of the weights of criteria. Secondly, a comparative analysis is presented through an example for validation of the introduced method’s results. Additionally, we perform a simulation-based analysis to verify the reliability of MEREC and the stability of its results. The data of the MCDM problems generated for making this analysis follow a prevalent symmetric distribution (normal distribution). We compare the results of the MEREC with some other objective weighting methods in this analysis, and the analysis of means (ANOM) for variances shows the stability of its results. The conducted analyses demonstrate that the MEREC is efficient to determine objective weights of criteria.
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47

Golpîra, Hêriş. "Extended Earned Value Management Based on Fuzzy Multi-Criteria Decision Making." International Journal of Service Science, Management, Engineering, and Technology 6, no. 4 (October 2015): 16–32. http://dx.doi.org/10.4018/ijssmet.2015100102.

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This paper proposes an extended earned value management (EEVM) as an integrated comprehensive project progress measurement technique. The method considers all of project key success factors, simultaneously. That is the method guaranties the realistic weights achievement to implement project control and scheduling. The weights are employed to publish a correct and comprehensive progress reports which can guarantee the future decisions for the project. It is noteworthy that the weighting approach is not just an earned value management (EVM), but it covers its concept. Since, the method is comprehensive and according to its ability to take any key success factors in to account, it can be used as a good alternative for the EVM approach, and can be called as an EEVM. The method combines the fuzzy group analytic hierarchy process (FGAHP) and fuzzy technique of order performance by similarity to ideal solution (FTOPSIS) to define activity weights according to some projects uncertain data. Taking to account the advantages of FGAHP for criteria weighting besides FTOPSIS for activity weighting provides a flexible method works with human habits and projects vagueness and uncertainty. Efficiency of the proposed method has been practically verified on a stadium in Kurdistan. The results illustrate superiority of the method in case of comprehensiveness and flexibility in comparison with the other methods.
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Klimasara, Edward, and Andrzej P. Wierzbicki. "Examples of Objectified Multiple Criteria Ranking in the Selection of Infrastructural Projects." Journal of Telecommunications and Information Technology 8 (December 28, 2018): 18–25. http://dx.doi.org/10.26636/jtit.2018.126718.

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The paper addresses the issue of multiple criteria rankings of infrastructural projects (buildings, roads, etc.). Although the amount of literature devoted to this subject is considerable, all methods proposed produce subjective rankings, dependent on a direct or indirect definition of weighting coefficients applicable to subsequent evaluation criteria. Infrastructural projects are usually selected and approved collegially, however, by a group of decision makers with preferences that may potentially differ significantly. Therefore, an objectified ranking, independent from subjectively defined weighting coefficients, is needed for infrastructural projects. Such a ranking is proposed, analyzed and applied by the authors of this paper. This ranking depends originally only on the multiple objective evaluation data, i.e. the values of evaluation criteria related to decision scenarios or alternatives. Such an approach does not render a fully objective ranking, since one of this kind does not exist at all. Even the choice of the ranking method is a subjective decision, but it is objectified to the extent possible. The paper presents several examples of multiple criteria evaluation of infrastructural projects, derived from literature, and compares subjective rankings published in literature with objectified rankings that are independent of weighting coefficients.
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Sukanianto, Eko Adyan, Sugito Sugito, and Rita Rahmawati. "PENERAPAN METODE WEIGHTED PRODUCT (WP) DAN ELIMINATION ET CHOIX TRANDUISANT LA REALITÉ (ELECTRE) DENGAN PEMBOBOTAN ENTROPY MENGGUNAKAN GUI MATLAB (Studi Kasus: Pemilihan Hero Terkuat Arena of Valor)." Jurnal Gaussian 7, no. 2 (May 30, 2018): 132–42. http://dx.doi.org/10.14710/j.gauss.v7i2.26645.

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Arena of Valor (AOV) is a mobile game published by Garena in Indonesia. There will be 5 players in each team, selecting a hero to play in the game. By selecting the strongest hero each role can help facilitate team to strategize the composition of heroes that will be used to achieve victory. Weighting each criteria and selecting the strongest hero also become a consideration to control the game to be stable and balanced by the developer. The alternatives are all hero from each role (Tank, Warrior, Assassin, Mage, Archer and Support), while the criterias are skill effect points, maximum HP (Health Points), physical attack, physical defense, movement speed and HP recovery every 5 seconds. In this study, the writer uses WP and ELECTRE methods to select the strongest hero with Entropy weighting method. This study produce a Matlab GUI that can be used to facilitate computational selection. The results show that the strongest hero in AOV are Grakk (Tank), Astrid (Warrior), Ormarr (Warrior), Murad (Warrior/Assassin), Lauriel (Mage/Assassin), The Joker (Archer) and Alice (Support). While the criteria with the highest weighting is the skill. Keywords: AOV, Garena Indonesia, WP, ELECTRE, Entropy, GUI Matlab
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Aminudin, Nur, Miftachul Huda, Ahmad Kilani, Wan Hassan Wan Embong, Ahmad Marzuki Mohamed, Bushrah Basiron, Siti Suhaila Ihwani, et al. "Higher Education Selection using Simple Additive Weighting." International Journal of Engineering & Technology 7, no. 2.27 (August 22, 2018): 211. http://dx.doi.org/10.14419/ijet.v7i2.27.11731.

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The process of selecting a college should be based on the capabilities and needs of the community. When society is faced with a large selection of college criteria and most societies are confused about choosing the appropriate college for themselves and the job demands. From this it was made a decision support system aimed at helping the community to choose a college that suits the ability and demands of the work. Decision support system plays a role in helping people get the right recommendations in the selection of universities. This decision support system is also designed to help the community to choose a college that suits their needs so that the public is not confused because of the many criteria of universities faced by the community because the admin already has recommendations according to the needs of the community by using Simple Additive Weighting (SAW) method.
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