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Francik, Sławomir, Norbert Pedryc, Adrian Knapczyk, Artur Wójcik, Renata Francik, and Bogusława Łapczyńska-Kordon. "Bibliometric analysis of multiple criteria decision making in agriculture." Technical Sciences 1, no. 20 (December 15, 2016): 17–30. http://dx.doi.org/10.31648/ts.2906.
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Development trends (Research Trends) in scientific research on the methods of Multiple Criteria Decision Making (MCDM) and Multiple Criteria Decision Analysis (MCDA) in agriculture are analyzed. Established bibliometric techniques are applied. MCDA/MCDM methods are being very intensively developed in recent years, as evidenced by the number of scientific papers published annually in renowned scientific journals indexed in the Web of Science (WoS) database. In the years 1979-2015 a total of 1,355 scientific articles were collected in the database. The number of articles published annually increased rapidly after 2005. Besides, the annual number of citations of the publications is increasing. Research on MCDA/MCDM is conducted in many research areas. In the years 1984-2015 the Web of Science database accumulated 27 scientific publications on MCDA/MCDM in agriculture area. Therefore, it can be concluded that the MCDA/MCDM issues are currently not sufficiently analyzed in relation to agriculture. In the future this subject will probably be further developed, an increasing number of scientists will conduct research on the MCDA/MCDM and the annual number of articles published in the field will increase.
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Broniewicz, Elzbieta, and Karolina Ogrodnik. "A Comparative Evaluation of Multi-Criteria Analysis Methods for Sustainable Transport." Energies 14, no. 16 (August 19, 2021): 5100. http://dx.doi.org/10.3390/en14165100.
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The article pertains to the utilization of the application potential of MCDM/MCDA (Multi-Criteria Decision Making/Multi-Criteria Decision Analysis) methods in decision-making problems in the field of transport in light of sustainable development. The article consists of a theoretical and an empirical part. As part of the literature studies, a review was carried out on the latest applications of MCDM/MCDA methods for decision-making problems in the field of transport. In the empirical part, a multi-criteria analysis of the placement selection for a strip of expressway located in north-eastern Poland was carried out. For this purpose, a hybrid approach was used, consisting of three selected MCDM/MCDA methods: DEMATEL, REMBRANDT, and VIKOR. The ranking was compared with the results achieved in the EIA report of the investment and the results were obtained by using a different set of MCDM/MCDA methods that were proposed in the first part of the research, i.e., AHP, Fuzzy AHP, TOPSIS, and PROMETHEE. The performed multi-criteria analyses allowed for an eventual multi-dimensional evaluation of the most popular MCDM/MCDA methods currently applied in the field of transport.
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Fattoruso, Gerarda. "Multi-Criteria Decision Making in Production Fields: A Structured Content Analysis and Implications for Practice." Journal of Risk and Financial Management 15, no. 10 (September 27, 2022): 431. http://dx.doi.org/10.3390/jrfm15100431.
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As the complexity of decision-making problems and the competitiveness in which companies find themselves carrying out their activities increase, the need to use tools that can help Decision-Makers (DM) make more informed and more effective choices increases. Multi-Criteria Decision Making (MCDM) represents a valid decision support tool capable of simplifying the process of choosing, ranking or sorting the alternatives that characterize the problem. This work aims to investigate with a structured content analysis if MCDMs are used in an extremely complex and competitive sector such as the automotive sector. The work also aims to describe and explore in the existing literature the role that entrepreneurs (our decision-makers) play in the construction of MCDM methods. The results show that MCDMs are widely used in different application areas in the domain of interest and that the decision maker is involved in several phases of construction of the MCDM methods.
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Amaro, Sandra Lourenço, Sofia Barbosa, Gloria Ammerer, Aina Bruno, Jordi Guimerà, Ioannis Orfanoudakis, Anna Ostręga, Evangelia Mylona, Jessica Strydom, and Michael Hitch. "Multi-Criteria Decision Analysis for Evaluating Transitional and Post-Mining Options—An Innovative Perspective from the EIT ReviRIS Project." Sustainability 14, no. 4 (February 17, 2022): 2292. http://dx.doi.org/10.3390/su14042292.
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In mine design and planning, identifying appropriate Post-Mining Land Use (PMLU) is necessary and crucial to achieving environmental quality and socioeconomic renewal. In this context, Multi-Criteria Decision Making (MCDM) methods are used to support decision-maker and stakeholder decisions. However, most studies regarding the application of MCDM methods to PMLU decisions do not favor their widespread use because they start from an already structured decisional problem. The structure they present may not apply to another PMLU decision. Therefore, the primary goal of this study is to present an innovative methodology and its corresponding framework to help decision-makers and stakeholders structure their PMLU decisions. This innovative methodology can be used from an early stage, with a low level of detail, until a later stage, with a high level of detail, and is composed of three main stages. The first stage is selecting the Transitional Post-Mining Landscape Profile, which guides the user to different Multi-Criteria Decision Analysis (MCDA) goals. The second stage is developing criteria and alternatives according to the MCDA goal, using topics representing essential dimensions that cannot be disregarded, and testing the MCDM methods. Finally, the third stage is the participatory process and final application of MCDM methods.
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Abdulgader, Fathia Sghayer, Rajeh Eid, and Babak Daneshvar Rouyendegh. "Development of Decision Support Model for Selecting a Maintenance Plan Using a Fuzzy MCDM Approach: A Theoretical Framework." Applied Computational Intelligence and Soft Computing 2018 (November 1, 2018): 1–14. http://dx.doi.org/10.1155/2018/9346945.
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In complex decision making, using multicriteria decision-making (MCDM) methodologies is the most scientific way to ensure an informed and justified decision between several alternatives. MCDMs have been used in different ways and with several applications that proved their efficiency in achieving this goal. In this research, the advantages and disadvantages of the different MCDM methodologies are studied, along with the different techniques implemented to increase their accuracy and precision. The main aim of the study is to develop a hybrid MCDM process that combines the strengths of several MCDM methods and apply it to choose the best fit maintenance policy/strategy for industrial application. Moreover, fuzzy linguistic terms are utilized in all of the used MCDM techniques in order to eliminate the uncertainty and ambiguity of the results. Through an extensive literature review performed on studies that have used MCDM methods in a hybrid context and using fuzzy linguistic terms, a model is developed to use fuzzy DEMATEL-AHP-TOPSIS hybrid technique. The model with its application is the first of its kind, which combines the strengths of fuzzy DEMATEL in establishing interrelationships between several criteria, as well as performing a pairwise comparison between the criteria for prioritization using the fuzzy AHP method. Thereafter, the alternatives are compared using fuzzy TOPSIS method by establishing negative and positive solutions and calculating the relative closeness for each of the alternatives. Furthermore, six main criteria, twenty criteria, and five alternatives are selected from the literature for the model application.
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Saeed, Mohamed Osman, Hamidi Abdul Aziz, and Khairun Azizi Mohd Azizli. "The Art of Integrated GIS/AHP for Siting Landfill: A Review." Applied Mechanics and Materials 567 (June 2014): 144–49. http://dx.doi.org/10.4028/www.scientific.net/amm.567.144.
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This article reviewed selected works on how decision makers (DMs) utilize integrated geographic information system (GIS)/analytical hierarchy process (AHP) tools to analyze land suitability for sanitary landfill sites as part of regional planning. We analyzed the hierarchy process of certain pervious works to facilitate better understanding. The innovative work of Siddiqi et al. in 1996 highlighted the advantages of integrating AHP in GIS software and reviewed some limitations. The present paper explained the background study on multi-criteria decision analysis/aid (MCDA) so-called multi-criteria decision makers (MCDM) in conjunction with the advantages of GIS as a new remedy for utilizing the AHP weights of the decision makers. For this study we often use the term MCDA and MCDM.
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Ogrodnik, Karolina. "Multi-Criteria Analysis of Design Solutions in Architecture and Engineering: Review of Applications and a Case Study." Buildings 9, no. 12 (December 17, 2019): 244. http://dx.doi.org/10.3390/buildings9120244.
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The primary goal of this paper is to present the application potential of MCDM/MCDA (multi-criteria decision-making/multi-criteria decision analysis) methods in the field of architecture and urban planning and in energy efficient construction, especially in the context of sustainable development paradigm. The first part of this paper is devoted to literature studies pertaining to multi-criteria decision-making support in the selected fields. On the basis of the delivered review, it was demonstrated that the most popular methods belonging to the MCDM/MCDA group that have been used so far for the purpose of resolving selected decision-making challenges, is the AHP (analytic hierarchy process) method with modifications, TOPSIS (technique for order of preference by similarity to ideal solution) method, as well the up-and-coming COPRAS (complex proportional assessment) method. In addition, by reviewing the literature, it was found that MCDM/MCDA methods constitute an effective support tool at the stage of evaluating and selecting project solutions, and are especially helpful in framing various social, economic, environmental criteria that are permanently linked to the rule of sustainable development. The empirical section of this paper, through a case study, presents a comparative analysis of the classical AHP method with its extension onto fuzzy sets. The case study pertained to the criteria for the location of single-family residential buildings with solar installations.
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Permanasari, Adhistya Erna, Marsetyo Wisaksono, and Sri Suning Kusumawardani. "A Multi Criteria Decision Making to Support Major Selection of Senior High School." IJITEE (International Journal of Information Technology and Electrical Engineering) 3, no. 4 (May 8, 2020): 128. http://dx.doi.org/10.22146/ijitee.54427.
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Senior high school students need to select a specialization, such as Mathematics and Natural Sciences, Social Sciences, or Language and Culture. This selection process can be improved by using Multi Criteria Decision Making (MCDM) methods. When MCDM methods are implemented, AHP method has accuracy of 61%, whereas AHP-Fuzzy TOPSIS 1 and AHP-Fuzzy TOPSIS 2 have accuracy of 75%. This research implements tests and analyzes new MCDM method, which is Hybrid MCDM Model, in helping aforementioned specialization selection process. There are four basic steps in Hybrid MCDM Model: performing experimental design to obtain attributes' weight and criteria, evaluating MCDM with the three existing methods, performing RSM regression to derive mathematical model, and decision making. This research introduces data normalization to the mathematical model which results in better implementation of Hybrid MCDM Model in the senior high school students' specialization selection process. Hybrid MCDM Model in the senior high school student specialization selection has accuracy of 86%, which includes 11% accuracy improvements compared to other applied MCDM methods.
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KOU, GANG, YANQUN LU, YI PENG, and YONG SHI. "EVALUATION OF CLASSIFICATION ALGORITHMS USING MCDM AND RANK CORRELATION." International Journal of Information Technology & Decision Making 11, no. 01 (January 2012): 197–225. http://dx.doi.org/10.1142/s0219622012500095.
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Classification algorithm selection is an important issue in many disciplines. Since it normally involves more than one criterion, the task of algorithm selection can be modeled as multiple criteria decision making (MCDM) problems. Different MCDM methods evaluate classifiers from different aspects and thus they may produce divergent rankings of classifiers. The goal of this paper is to propose an approach to resolve disagreements among MCDM methods based on Spearman's rank correlation coefficient. Five MCDM methods are examined using 17 classification algorithms and 10 performance criteria over 11 public-domain binary classification datasets in the experimental study. The rankings of classifiers are quite different at first. After applying the proposed approach, the differences among MCDM rankings are largely reduced. The experimental results prove that the proposed approach can resolve conflicting MCDM rankings and reach an agreement among different MCDM methods.
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Chowdhury, Priyabrata, and Sanjoy Kumar Paul. "Applications of MCDM methods in research on corporate sustainability." Management of Environmental Quality: An International Journal 31, no. 2 (February 11, 2020): 385–405. http://dx.doi.org/10.1108/meq-12-2019-0284.
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PurposeCorporate sustainability (CS) is becoming a popular research topic. In recent years, researchers have conducted a significant number of studies in this area. Although a number of those studies have used a variety of multicriteria decision-making (MCDM) methods, to date there is no systematic literature review of this area of research. This paper fulfills this research gap.Design/methodology/approachThe authors use a systematic literature review and bibliometric analysis approach to analyze the applications of MCDM methods in research on CS.FindingsThe authors have observed that both single and integrated MCDM methods have been used in this domain; however, single MCDM methods are dominant. Further, this review shows that most of the integrated methods use only two MCDM methods and that there has been no comparison of results obtained from different MCDM methods. After reviewing these developments and summarizing the findings, the authors propose directions for future research, including investigating and formulating strategies for specific CS initiatives, integrating three or more MCDM methods, integrating MCDM methods with optimization techniques, analyzing results from a small and medium-sized enterprise (SME) perspective, reconsidering the tenets of existing theories via MCDM methods, and comparing the results of studies of CS in different kinds of economies, as well as the results of using different MCDM methods.Originality/valueTo the best of the authors' knowledge, this is the first study that has conducted a systematic literature review to analyze applications of MCDM methods to different aspects of corporate sustainability, including enablers of and barriers to CS, the evaluation and design of CS initiatives, system or strategy formulation, and performance evaluation, among others.
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Al-Sakkaf, Abobakr, Moaaz Elkabalawy, and Eslam Mohammed Abdelkader. "Synthetic Evaluation of Multi-Criteria Decision-Making Algorithms in Energy-Efficient Buildings." International Journal of Strategic Decision Sciences 13, no. 1 (January 1, 2022): 1–13. http://dx.doi.org/10.4018/ijsds.309120.
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Multi-criteria decision making (MCDM) on energy-efficient buildings has become essential in both the industry and academia as construction projects grow increasingly complex. With a prime goal of increasing its effectiveness, MCDM research has witnessed tremendous growth over the past three decades. Despite the necessity to monitor the research growth of a research topic to identify its trends and gaps, and hence shed light on research areas that warrant future research attention, there is a lack of systematic literature analysis in MCDM area. To fill this gap, this paper recruited a mixed-review method of scientometric and systematic reviews of 56 research papers on seven selected popular MCDM techniques published from 2010 to March 2021. The scientometric review identified the most prolific journals, keyword correlations, and geospatial connections between research countries in the MCDM area. On the other hand, the systematic review analysis showed that there are five main research topics in MCDM. Furthermore, the major approaches applied in MCDM research were investigated.
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Sahoo, Sushil Kumar, and Shankha Shubhra Goswami. "A Comprehensive Review of Multiple Criteria Decision-Making (MCDM) Methods: Advancements, Applications, and Future Directions." Decision Making Advances 1, no. 1 (December 15, 2023): 25–48. http://dx.doi.org/10.31181/dma1120237.
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This research paper presents a comprehensive review of Multiple Criteria Decision-Making (MCDM) methods, encompassing their advancements, applications, and future directions. The study begins with an introduction emphasizing the significance of MCDM in complex decision-making scenarios. Through a systematic literature review, recent developments in MCDM techniques are examined, including multi-objective methods, fuzzy-based approaches, data-driven models, and hybrid methodologies. The strengths and limitations of each method are critically analyzed. Furthermore, the paper investigates the diverse applications of MCDM in domains such as business, engineering, environment, healthcare, and public policy, highlighting the practical implications through real-world case studies. The study then identifies emerging trends and challenges in MCDM research, discussing the integration of MCDM with emerging technologies, enhancing robustness and adaptability, addressing uncertainty, and identifying unexplored domains for potential application. This comprehensive review serves as a valuable resource for decision-makers and researchers, providing insights into the advancements, applications, and future directions of MCDM methods.
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Hsu, Wei, and Fang-Ping Shih. "Key Factors for Enhancing Home Care Workers’ Intention to Stay by Multiple-Criteria Decision Analysis." Healthcare 11, no. 5 (March 3, 2023): 750. http://dx.doi.org/10.3390/healthcare11050750.
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The ageing population is increasing rapidly in Taiwan, where the ageing rate exceeds even that of Japan, the United States and France. The increase in the disabled population and the impact of the COVID-19 pandemic have resulted in an increase in the demand for long-term professional care, and the shortage of home care workers is one of the most important issues in the development of such care. This study explores the key factors that promote the retention of home care workers through multiple-criteria decision making (MCDM) to help managers of long-term care institutions retain home care talent. A hybrid model of multiple-criteria decision analysis (MCDA) combining Decision-Making Trial and Evaluation Laboratory (DEMATEL) and the analytic network process (ANP) was employed for relative analysis. Through literature discussion and interviews with experts, all factors that promote the retention and desire of home care workers were collected, and a hierarchical MCDM structure was constructed. Then, the hybrid MCDM model of DEMATEL and the ANP was used to analyze the questionnaire data of seven experts to evaluate the factor weights. According to the study results, the key direct factors are improving job satisfaction, supervisor leadership ability and respect, while salary and benefits are the indirect factor. This study uses the MCDA research method and establishes a framework by analyzing the facets and criteria of different factors to promote the retention of home care workers. The results will enable institutions to formulate relevant approaches to the key factors that promote the retention of domestic service personnel and to strengthen the intention of Taiwan’s home care workers to stay in the long-term care industry.
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Yang, Yan, Junhua Hu, Yongmei Liu, and Xiaohong Chen. "Triangular hesitant fuzzy preference relations and their applications in multi-criteria group decision-making." Filomat 33, no. 3 (2019): 917–30. http://dx.doi.org/10.2298/fil1903917y.
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In this paper, we present a novel multi-criteria decision-making (MCDM) methodology for assessing several alternatives under the triangular hesitant fuzzy environment. A scientific evaluation and prioritization approach is proposed by solving the MCDM problems with triangular hesitant fuzzy preference relations (THFPRs). Firstly, the concepts of THFPRs are defined, and a series of aggregation operators is introduced and their corresponding properties are discussed. Then, we define the consistency of the THFPRs and propose two methods to measure consistency. Furthermore, we construct an MCDM model using THFPR (MCDM-THFPR) to help decision makers assess and prioritise alternatives in the decision making process. Lastly, the validity and feasibility of the proposed MCDM-THFPR method for the MCDM are verified by a comparison with two previous approaches, along with certain discussions.
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Sousa, Manuel, Maria Fatima Almeida, and Rodrigo Calili. "Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda." Sustainability 13, no. 8 (April 7, 2021): 4129. http://dx.doi.org/10.3390/su13084129.
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Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.
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Yang, Won Chol, Won Ri, Ji Yon Yang, and Chol Min Choe. "A New Material Selection Method Based on Weighted Mean Values of Overall Performance Scores from Different Multicriteria Decision-Making Methods." Advances in Materials Science and Engineering 2022 (August 28, 2022): 1–9. http://dx.doi.org/10.1155/2022/4479803.
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There are many multicriteria decision-making (MCDM) methods applicable to material selection. It may produce considerable differences between the material selection results. However, it is unknown which MCDM method has more rational result and there is no rational method to determine final overall performance scores of alternative materials. We propose a new method to determine final overall performance scores and final ranks of alternative materials combined with results from different MCDM methods in material selection. The outline is as follows. First, calculate the overall performance scores and ranks of the alternative materials using some different MCDM methods. Second, calculate mean values of the rank correlation coefficients between the rankings obtained from different MCDM methods and assign the mean values as the priority weights of each MCDM method. Finally, calculate the weighted mean values of the overall performance scores obtained from different MCDM methods and determine them as final overall performance scores of the alternative materials. To illustrate the effectiveness, we apply the proposed method to select best tool holder materials. The method may help material designers and engineers to apply different MCDM methods to material selection and multi-objective optimization of material composition and process, much more effectively and actively.
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Paul, Ananna, Nagesh Shukla, Sanjoy Kumar Paul, and Andrea Trianni. "Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review." Sustainability 13, no. 13 (June 24, 2021): 7104. http://dx.doi.org/10.3390/su13137104.
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Multi-criteria decision-making (MCDM) methods are smart tools to deal with numerous criteria in decision-making. These methods have been widely applied in the area of sustainable supply chain management (SSCM) because of their computational capabilities. This paper conducts a systematic literature review on MCDM methods applied in different areas of SSCM. From the literature search, a total of 106 published journal articles have been selected and analyzed. Both individual and integrated MCDM methods applied in SSCM are reviewed and summarized. In addition, contributions, methodological focuses, and findings of the reviewed articles are discussed. It is observed that MCDM methods are widely used for analyzing barriers, challenges, drivers, enablers, criteria, performances, and practices of SSCM. In recent years, studies have focused on integrating more than one MCDM method to highlight methodological contributions in SSCM; however, in the literature, limited research papers integrate multiple MCDM methods in the area of SSCM. Most of the published articles integrate only two MCDM methods, and integration with other methods, such as optimization and simulation techniques, is missing in the literature. This review paper contributes to the literature by analyzing existing research, identifying research gaps, and proposing new future research opportunities in the area of sustainable supply chain management applying MCDM methods.
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Kharal, Athar. "A Neutrosophic Multi-Criteria Decision Making Method." New Mathematics and Natural Computation 10, no. 02 (June 3, 2014): 143–62. http://dx.doi.org/10.1142/s1793005714500070.
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This work presents a method of multi-criteria decision making (MCDM) using neutrosophic sets. Besides studying some interesting mathematical properties of the method, algorithm viz neut-MCDM is presented. The work also furnishes the fundamentals of neutrosophic set theory succinctly, to provide a first introduction of neutrosophic sets for the MCDM community. To illustrate the computational details, neut-MCDM has been applied to the problem of university faculty selection against a given set of criteria.
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Topcu, Y. Ilker. "Countdown to MCDM 2019." International Journal of the Analytic Hierarchy Process 11, no. 1 (April 24, 2019): 148–50. http://dx.doi.org/10.13033/ijahp.v11i1.647.
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Less than two months to go! You are all welcome to the 25th International Conference on Multiple Criteria Decision Making (MCDM 2019) that will take place at Istanbul Technical University, Istanbul, Turkey from June 16th to June 21st, 2019.
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Martel, J. "MCDM and multiobjective programming." International Transactions in Operational Research 7, no. 1 (January 2000): 1–3. http://dx.doi.org/10.1016/s0969-6016(00)00002-2.
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Roubens, Marc, and Jyrki Wallenius. "Editorial to MCDM papers." European Journal of Operational Research 24, no. 2 (February 1986): 252. http://dx.doi.org/10.1016/0377-2217(86)90047-0.
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YU, Xiaohan, Zeshui XU, and Shousheng LIU. "SYSTEMATIC DECISION MAKING: A EXTENDED MULTI-CRITERIA DECISION MAKING MODEL." Technological and Economic Development of Economy 23, no. 1 (January 22, 2017): 157–77. http://dx.doi.org/10.3846/20294913.2016.1212121.
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Considering some complex multi-criteria decision making (MCDM) problems, in which decision environment is dynamic, there are various interdependences among criteria, and plans (systematized alternatives) consisting of multiple time sequential interdependent actions, cannot be well handled by means of the existing MCDM methods, therefore, we develop a systematic decision making (SDM) as an improvement and supplement of the classic MCDM in this paper. The SDM is for prescribing methods of evaluating and selecting the most favourite plan (a system) from a group of feasible ones concerning influences of time-varying criteria system under dynamic external environment. Through detailed analysis, we separate a SDM problem into multi-period MCDM subproblems, and then a plan can be a combination of time sequential strategies in which each strategy (a subset of actions) is a feasible decision choice of corresponding MCDM sub-problem. After clarifying variety of interdependences, interactions and interrelationships in the SDM problems, such as criteria-interdependences, action-interdependences, interactions between criteria and criteria system, interactions between actions and strategies, interactions between strategies and plans, interactions between internal environment (criteria system) and external environment, feedbacks from external environment to the corresponding MCDM sub-problems, and interrelationships among MCDM sub-problems and so on, we transform the SDM into multi-period interrelated MCDM model which can be dealt with more easily by using multiple optimization models. At the end of the paper, three typical properties of the SDM are proposed and most of the existing MCDM models are pointed out as special cases of the SDM.
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Antucheviciene, Jurgita, Zdeněk Kala, Mohamed Marzouk, and Egidijus Rytas Vaidogas. "Solving Civil Engineering Problems by Means of Fuzzy and Stochastic MCDM Methods: Current State and Future Research." Mathematical Problems in Engineering 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/362579.
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The present review examines decision-making methods developed for dealing with uncertainties and applied to solve problems of civil engineering. Several methodological difficulties emerging from uncertainty quantification in decision-making are identified. The review is focused on formal methods of multiple criteria decision-making (MCDM). Handling of uncertainty by means of fuzzy logic and probabilistic modelling is analysed in light of MCDM. A sensitivity analysis of MCDM problems with uncertainties is discussed. An application of stochastic MCDM methods to a design of safety critical objects of civil engineering is considered. Prospects of using MCDM under uncertainty in developing areas of civil engineering are discussed in brief. These areas are design of sustainable and energy efficient buildings, building information modelling, and assurance of security and safety of built property. It is stated that before long the decision-making in civil engineering may face several methodological problems: the need to combine fuzzy and probabilistic representations of uncertainties in one decision-making matrix, the necessity to extend a global sensitivity analysis to all input elements of a MCDM problem with uncertainties, and an application of MCDM methods in the areas of civil engineering where decision-making under uncertainty is presently not common.
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Zavadskas, Edmundas Kazimieras, Jurgita Antuchevičienė, and Oleg Kapliński. "MULTI-CRITERIA DECISION MAKING IN CIVIL ENGINEERING: PART I – A STATE-OF-THE-ART SURVEY." Engineering Structures and Technologies 7, no. 3 (March 21, 2016): 103–13. http://dx.doi.org/10.3846/2029882x.2015.1143204.
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For several decades, multi-criteria decision-making (MCDM) methods have been in use to address issues particular to design, organisation and management of constructions. This article reviews the history of MCDM methods since their origins to current times. The academic database Thomson Reuters Web of Science Core Collection was used to overview publications that contain keyword “MCDM” and are included in Web of Science Category “Engineering Civil”. The analysis of publications was made according to their year, state, journals and used MCDM methods.
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Opricovic, Serafim, and Gwo-Hshiung Tzeng. "A comparative analysis of the DEA-CCR model and the VIKOR method." Yugoslav Journal of Operations Research 18, no. 2 (2008): 187–203. http://dx.doi.org/10.2298/yjor0802187o.
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Data Envelopment Analysis (DEA) introduces a model for weights determination maximizing efficiency of the decision-making units. The primary focus of the DEA model is to compare decision-making units (alternatives) in terms of their efficiency in converting inputs into outputs. The multicriteria decision making (MCDM) method VIKOR uses a common set of weights expressing a decision maker's preferences. In contrast, the CCR model of DEA does not provide a common set of weights that could express the preferences of a decision maker. The weights in MCDM do not have a clear economic significance, but their use provides the opportunity to model the real aspects of decision making, such as the preference structure. A comparison of DEA and MCDM shows that DEA resembles MCDM, but the results differ. In spite of these differences, DEA could be used as a supplement for screening alternatives within MCDM. An application of DEA and MCDM is illustrated by an example of hydropower system planning.
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Riandari, Fristi, Marc Z. Albert, and Stanley S. Rogoff. "MCDM methods to address sustainability challenges, such as climate change, resource management, and social justice." Idea: Future Research 1, no. 1 (March 30, 2023): 25–38. http://dx.doi.org/10.35335/idea.v1i1.4.
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The novelty of the proposed research lies in its focus on developing and refining MCDM methods to address the complex and multifaceted nature of sustainability challenges, and evaluating the effectiveness and practicality of these methods in real-world decision-making contexts. While previous research has explored the application of MCDM methods to sustainability decision-making, this study aims to advance the field by addressing the following novel aspects: Comprehensive evaluation of MCDM methods: The study aims to comprehensively evaluate the effectiveness and practicality of various MCDM methods in addressing sustainability challenges, including climate change, resource management, and social justice. This evaluation will consider the strengths and limitations of each method, and identify opportunities for improvement. Incorporation of stakeholder values: The study will incorporate stakeholder values into the decision-making process, ensuring that the resulting decisions reflect the diverse perspectives and priorities of all stakeholders. This approach differs from traditional decision-making methods, which often prioritize the perspectives of a select few. Real-world decision-making contexts: The study will evaluate the effectiveness and practicality of MCDM methods in real-world decision-making contexts, providing insights into the challenges and opportunities associated with the implementation of these methods. This will help decision-makers to better understand how to apply MCDM methods to real-world sustainability challenges. The proposed research offers a novel and comprehensive approach to addressing sustainability challenges through the development and application of MCDM methods. By evaluating the effectiveness and practicality of these methods in real-world decision-making contexts, this study aims to provide decision-makers with a more comprehensive and informed approach to sustainability decision-making that reflects the diverse perspectives and priorities of all stakeholders. Future research in the area of MCDM methods to address sustainability challenges could focus on several areas, including: Cross-disciplinary collaborations: Given the complex and multifaceted nature of sustainability challenges, there is a need for cross-disciplinary collaborations between decision-makers, scientists, and stakeholders to develop and implement effective sustainability strategies. Future research could explore how MCDM methods can facilitate these collaborations and promote interdisciplinary dialogue and knowledge sharing. Evaluation of long-term sustainability outcomes: While MCDM methods can help decision-makers to evaluate alternatives based on multiple criteria and stakeholder values, it may be challenging to evaluate the long-term sustainability outcomes of these decisions. Future research could explore how MCDM methods can be used to evaluate the long-term sustainability outcomes of decisions, and how the effectiveness of these methods can be measured over time. Incorporation of ethical considerations: Sustainability decision-making involves ethical considerations related to distributive justice, procedural justice, and environmental ethics. Future research could explore how MCDM methods can incorporate these ethical considerations into the decision-making process to ensure that sustainability decisions are not only efficient and effective but also ethically justifiable. Evaluation of MCDM methods in different decision-making contexts: MCDM methods may be more suitable for certain decision-making contexts than others. Future research could evaluate the effectiveness and practicality of MCDM methods in different decision-making contexts, such as public sector decision-making, corporate decision-making, or community-based decision-making. Development of user-friendly decision support tools: While MCDM methods can be effective in addressing sustainability challenges, they may be challenging to implement in practice. Future research could focus on the development of user-friendly decision support tools that can help decision-makers to implement MCDM methods more easily and effectively. Overall, future research in the area of MCDM methods to address sustainability challenges should focus on advancing the understanding and application of these methods in real-world decision-making contexts. By addressing the challenges and limitations of these methods and developing new approaches to address emerging sustainability challenges, researchers can help decision-makers to make more informed and sustainable decisions for the benefit of society and the environment.
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Abdulraheem, A.O., Adepoju, S.A., Ojerinde, A.O., and Abisoye, O.A. "A Brief Overview on Applications of Multi-Criteria Decision Making Methods in Web Application Security." Advances in Multidisciplinary and scientific Research Journal Publication 2, no. 2 (July 11, 2023): 59–66. http://dx.doi.org/10.22624/aims/csean-smart2023p8.
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Various fields of endeavours have seen the increasing application of multi criteria decision making (MCDM) methods, this includes web application security as new challenges arise in the sector. More MCDM methods are being created and existing methods are combined to give better solutions. This paper performs a review of selected works that are related to the use of MCDM in web application security, examining the methods used, applications and results. Twenty one works were reviewed, with ten papers critically analysed, all published between 2014 and 2023. They were analysed based on MCDM techniques used and security evaluation methods. Results from this review shows that combined MCDM methods were more effective in addition to AHP, TOPSIS and fuzzy-techniques being prevalent. The review carried out in this paper provides a clear insight on various potential applications of MCDM in web application security. Keywords: Multi Criteria Decision Making (MCDM); Web Application Security; Literature Review Proceedings Citation Format Abdulraheem, A.O., Adepoju, S.A., Ojerinde A.O. & Abisoye, O.A (2023): A Brief Overview on Applications of Multi Criteria Decision Making Methods in Web Application Security. Proceedings of the Cyber Secure Nigeria Conference. Nigerian Army Resource Centre (NARC) Abuja, Nigeria. 11-12th July, 2023. Pp 59-66. https://cybersecurenigeria.org/conference-proceedings/volume-2-2023/ dx.doi.org/10.22624/AIMS/CSEAN-SMART2023P8
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Taherdoost, Hamed, and Mitra Madanchian. "Multi-Criteria Decision Making (MCDM) Methods and Concepts." Encyclopedia 3, no. 1 (January 9, 2023): 77–87. http://dx.doi.org/10.3390/encyclopedia3010006.
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Multi-criteria decision-making (MCDM) is one of the main decision-making problems which aims to determine the best alternative by considering more than one criterion in the selection process. MCDM has manifold tools and methods that can be applied in different fields from finance to engineering design. This entry aims to provide a survey on the MCDM concept, its applications, main categories, and different methods. The final section provides manifold information and statistics on the published works in the MCDM fields. Some of the main methods are also listed in this section.
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Osintsev, Nikita Anatolyevich. "Multi-criteria decision-making in transport and logistics." Transport of the Urals, no. 4 (2021): 3–17. http://dx.doi.org/10.20291/1815-9400-2021-4-3-17.
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In the last decade, in transport and logistics, the scientific and practical direction for the development and improvement of methods for multi-criteria decision-making (MCDM) has been actively developing. The paper provides an overview of research in the field of using MCDM, shows the features and different approaches to the classification of MCDM, the practice of their use in transport and in logistics activities, an approach to systematizing the methods is proposed. An MCDM model and a calculated example of ranking management decisions to improve transport and logistics activities at an enterprise using 11 MCDM methods are presented. The FUCOM method is used to determine the weight of the criteria. The ranking of management decisions is performed by comparing 10 methods: SAW, TOPSIS, PROMETHEE, COPRAS, MOORA, WASPAS, MAIRCA, EDAS, MABAC and MARCOS.
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Štilić, Anđelka, and Adis Puška. "Integrating Multi-Criteria Decision-Making Methods with Sustainable Engineering: A Comprehensive Review of Current Practices." Eng 4, no. 2 (May 31, 2023): 1536–49. http://dx.doi.org/10.3390/eng4020088.
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Multi-criteria decision-making (MCDM) methods have gained increased attention in sustainable engineering, where complex decision-making problems require consideration of multiple criteria and stakeholder perspectives. This review paper provides a comprehensive overview of the different MCDM methods, their applications in sustainable engineering, and their strengths and weaknesses. The paper discusses the concept of sustainable engineering, its principles, and the different areas where MCDM methods have been applied, including energy, manufacturing, transportation, and environmental engineering. Case studies of real-world applications are presented and analyzed, highlighting the main findings and implications for engineering practice. Finally, the challenges and limitations of MCDM methods in sustainable engineering are discussed, and future research directions are proposed. This review contributes to the understanding of the role of MCDM methods in sustainable engineering and provides guidance for researchers and practitioners.
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Baydaş, Mahmut, and Dragan Pamučar. "Determining Objective Characteristics of MCDM Methods under Uncertainty: An Exploration Study with Financial Data." Mathematics 10, no. 7 (March 31, 2022): 1115. http://dx.doi.org/10.3390/math10071115.
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A major difficulty in comparing and even choosing MCDM methods is the uncertainty of information about the consistent and unique characteristics of the results produced. The objective information content of the final scores produced by MCDM methods and their relevance to real life can give us an important idea about them. In this study, first of all, seven MCDM methods with different methodologies were applied to evaluate companies’ financial performance. Then, the obtained MCDM scores were compared using two different objective verification mechanisms. The first validation criterion is the relationship of a MCDM method to real-life rankings (share price). The second criterion is the standard deviation (SD) technique used to discover the objective information content of MCDM final scores. According to the results of this study, PROMETHEE and FUCA definitely outperform other methods in terms of both SD values and strength of correlation with reference real-life rankings. Also, FUCA is methodologically simpler than other methods. However, it produced nearly identical results as the sophisticated PROMETHEE method.
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Ghorabaee, Mehdi Keshavarz, Edmundas Kazimieras Zavadskas, Maghsoud Amiri, and Zenonas Turskis. "Extended EDAS Method for Fuzzy Multi-criteria Decision-making: An Application to Supplier Selection." International Journal of Computers Communications & Control 11, no. 3 (March 24, 2016): 358. http://dx.doi.org/10.15837/ijccc.2016.3.2557.
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In the real-world problems, we are likely confronted with some alternatives that eed to be evaluated with respect to multiple conflicting criteria. Multi-criteria ecision-making (MCDM) refers to making decisions in such a situation. There are any methods and techniques available for solving MCDM problems. The evaluation ased on distance from average solution (EDAS) method is an efficient multi-criteria ecision-making method. Because the uncertainty is usually an inevitable part of he MCDM problems, fuzzy MCDM methods can be very useful for dealing with the eal-world decision-making problems. In this study, we extend the EDAS method o handle the MCDM problems in the fuzzy environment. A case study of supplier election is used to show the procedure of the proposed method and applicability of t. Also, we perform a sensitivity analysis by using simulated weights for criteria to xamine the stability and validity of the results of the proposed method. The results f this study show that the extended fuzzy EDAS method is efficient and has good tability for solving MCDM problems.
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Dezert, Jean, Albena Tchamova, Stefka Fidanova, and Deqiang Han. "Two Applications of Inter-Criteria Analysis with Belief Functions." Cybernetics and Information Technologies 20, no. 5 (December 1, 2020): 38–59. http://dx.doi.org/10.2478/cait-2020-0039.
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AbstractIn this paper we present two applications of a new Belief Function-based Inter-Criteria Analysis (BF-ICrA) approach for the assessment of redundancy of criteria involved in Multi-Criteria Decision-Making (MCDM) problems. This BF-ICrA method allows to simplify the original MCDM problem by suppressing redundant criteria (if any) and thus diminish the complexity of MCDM problem. This approach is appealing for solving large MCDM problems whose solution requires the fusion of many belief functions. We show how this approach can be used in two distinct fields of applications: The GPS surveying problem, and the car selection problem.
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CHENG, CHING-HSUE, and JING-RONG CHANG. "MCDM AGGREGATION MODEL USING SITUATIONAL ME-OWA AND ME-OWGA OPERATORS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no. 04 (August 2006): 421–43. http://dx.doi.org/10.1142/s0218488506004102.
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OWA (Ordered Weighted Averaging) aggregation operators have been extensively adopted to handle MCDM (multiple criteria decision making) problems. However, additive or multiplicative preferences should be aggregated with feasible operators. To resolve this problem, this study proposes a new MCDM aggregation model, capable of handling situational group MCDM problems based on the ME-OWA (maximal entropy ordered weighted averaging) and ME-OWGA (maximal entropy ordered weighted geometric averaging) operators. The proposed model is also applied not only to evaluate the service quality of airlines but also select the most appropriate desalination technology. The results of previous MCDM methods can be covered with proposed model.
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Lam, Weng Hoe, Kah Fai Liew, and Weng Siew Lam. "Selection of Materials in Construction Industry with Multi-Criteria Decision Making Models." E3S Web of Conferences 405 (2023): 04015. http://dx.doi.org/10.1051/e3sconf/202340504015.
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Construction companies play a central role in the development of a country. The construction products stimulate the growth of private physical structures and public infrastructure for many productive activities such as utilities, commerce, and services. A good material selection is an essential part that needs to be studied in order to come out with a product that is of high quality and safe to be used. As a result, materials selection in the field of construction has also become an interesting topic for many researchers. Based on the previous literature, several multiple criteria decision making (MCDM) models are proposed to choose the best materials for a particular application in recent years. With multiple decision criteria, material selection is treated as an MCDM problem. According to past studies, the researchers have emphasized the integration of MCDM models to tackle complicated decision making problems. MCDM model is a good tool and has been widely proposed in various fields as MCDM models are capable to tackle the decision making problems that are taking multiple decision criteria into consideration. The intended purpose of this paper aims to provide a literature review on the material selection in the field of construction with MCDM models.
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Tian, Chao, and Juan Juan Peng. "A Multi-Criteria Decision-Making Method Based on the Improved Single-Valued Neutrosophic Weighted Geometric Operator." Mathematics 8, no. 7 (June 30, 2020): 1051. http://dx.doi.org/10.3390/math8071051.
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The aggregation operator is one of the most common techniques to solve multi-criteria decision-making (MCDM) problems. The aim of this paper is to propose an MCDM method based on the improved single-valued neutrosophic weighted geometric (ISVNWG) operator. First, the defects of several existing single-valued neutrosophic weighted geometric aggregation operators in terms of producing uncertain results in some special cases are analyzed. Second, an ISVNWG operator is proposed to avoid the defects of existing operators. Further, the properties of the proposed ISVNWG operator, including idempotency, boundedness, monotonicity, and commutativity, are discussed. Finally, a single-valued neutrosophic MCDM method based on the developed ISVNWG operator is proposed to overcome the defects of existing MCDM methods based on existing operators. Application examples demonstrate that our proposed operator and corresponding MCDM method are effective and rational for avoiding uncertain results in some special cases.
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Kaya, İhsan, and Cengiz Kahraman. "A COMPARISON OF FUZZY MULTICRITERIA DECISION MAKING METHODS FOR INTELLIGENT BUILDING ASSESSMENT." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 20, no. 1 (March 10, 2014): 59–69. http://dx.doi.org/10.3846/13923730.2013.801906.
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The methodology, Multicriteria Decision Making (MCDM), refers to finding the best alternative from all of the feasible alternatives in the presence of multiple, usually conflicting, decision criteria. Nowadays, intelligent buildings’ performance that is increasingly evidenced in building design and construction has been analyzed by using MCDM techniques. Intelligent buildings (IBs) are also under assessment according to their IB related characteristics and actual circumstances as a MCDM problem. In this paper, two most known MCDM methodologies, Analytic Hierarchy Process (AHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), are used for intelligent building assessment under fuzzy environment for dealing with the evaluations’ uncertainty and imprecision in which the expert's comparisons that are represented as fuzzy numbers. For this aim, three intelligent building alternatives for a business centre in Istanbul are evaluated by using these two fuzzy MCDM methods and the obtained ranking results are compared.
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Muhammad, Fa'iq Mumtaz, Budisantoso Wirjodirdjo, Okol Sri Suharyo, and Yudha Sukma Perdana. "MODELING OF KOARMADA MARINE OPERATIONS II BASED ON THE THREAT PREDICTION FROM INTELLIGENCE WITH A MULTI CRITERIA DECISION MAKING APPROACH." JOURNAL ASRO 12, no. 01 (January 18, 2021): 128. http://dx.doi.org/10.37875/asro.v12i01.389.
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Indonesia as archipelagic country, needs strong maritime sector security. The Indonesian Navy in Law Number 34 Year 2004 has been given the mandate to safeguard the sovereignty of the Republic of Indonesia. The Armada II Command as Kotamaops annually carries out Military Operations Other Than War (OMSP) which is carried out under the command of Guspurla and Guskamla. Intelligence information regarding the estimated threat / contingency that will occur is very influential on decision makers in operational planning. With the contingency provided by the intelligence staff, it is necessary to have an appropriate marine operation modeling. In a multi-operation operation, it is necessary to have a supporting attribute, that is, a base ship. The purpose of this study is to formulate an operation modeling using the selection of a headquarter ship which is preceded by the determination of contingency priorities. This study uses MCDM which consists of MCDA and MCDO which uses the integration of the Delphi method, AHP, Fuzzy weighting, Goal programming and linear Integer-Zero one programming. Based on the processing of Delphi and AHP, in determining the threat of OMSP, it is influenced by the number / intensity of incidents of 20.4%; impact of Ipoleksosbudhankam 29.4%, Capabiity 38.2% and involvement factor of 12.1% where national jurisdiction marine security operations are selected as the first priority. Meanwhile, in the selection of the headquarters ship which functions to coordinate the KRI in carrying out sector patrols, using the FWH and IGP, the KRI was chosen as the Sigma class to be the headquarters ship. This modeling uses 22 of the 24 KRI that have been allocated by obtaining an increase in the optimization of the coverage area and fuel savings..
Keywords: OMSP, MCDM, Contigency, headquarters warship and Maritime Security Operations
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Keshavarz-Ghorabaee, Mehdi. "A Simple Modification to the EDAS Method for Two Exceptional Cases." BOHR International Journal of Advances in Management Research 1, no. 1 (2022): 36–39. http://dx.doi.org/10.54646/bijamr.005.
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Multi-criteria decision-making (MCDM) methods and techniques have been applied to many real-world problems in different fields of engineering science and technology. The evaluation based on distance from average solution (EDAS) method is an efficient MCDM method. The aim of this study is to propose a modification to address two exceptional cases in which the EDAS method fails to solve an MCDM problem.
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Ghorabaee, Mehdi Keshavarz. "A Simple Modification to the EDAS Method for Two Exceptional Cases." BOHR International Journal of Advances in Management Research 1, no. 1 (2022): 36–39. http://dx.doi.org/10.54646/bijamr.2022.05.
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Multi-criteria decision-making (MCDM) methods and techniques have been applied to many real-world problems in different fields of engineering science and technology. The evaluation based on distance from average solution (EDAS) method is an efficient MCDM method. The aim of this study is to propose a modification to address two exceptional cases in which the EDAS method fails to solve an MCDM problem.
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Guebsi, Wafa, and Alaeddine Zouari. "Investigation on Multi-Criteria Decision Making Methods Application in Sustainable Product Design." SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) 3, no. 1 (June 14, 2022): 91–104. http://dx.doi.org/10.12928/spekta.v3i1.5962.
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Background: Integrating sustainability development' aspects in the design process is becoming, a growth area in companies. Consequently, sustainable product design has to consider the different aspects of sustainability throughout its life cycle phases in addition of other requirements. This integration is becoming more complicated due the difficulty of managing the constraints and alternatives related to the product and stakeholders needs. This study aims to highlights the most used Multi-Criteria Decision Making (MCDM) tools and methods used in sustainable product design process. Contribution: Product design process involves interesting decisional tasks such as the choice of materials, standard parts, technical solutions. Hence, the contribution of this work is to help designer to adopt relevant MCDM tools and methods that can be integrated to other tools to facilitate and to justify their decisional tasks. Method: Several methods have been affected to solve the problems related to this complexity such as MCDM. A literature review was conducted based on Siencedirect and GoogleScholar articles databases. After filtering more than 200 articles only 62 articles were considered to analyze the correlation between sustainable product design and MCDM. Results: Classified MCDM use according to the type of choices to achieve SPD goals. This paper allowed us to find matches between MCDM methods and SPD problem. The majority of case studies result show that a large portion of sustainable design methods, techniques, and tools are applied to the sustainable product’ along its different life cycle phases Conclusion: It is noticed that the use of MCDM methods are an important outcome in the sustainable product design process and deeply helps designers to make suitable choices. Also, several matches relating MCDM, other methods and sustainable product design sphere are discussed
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Zavadskas, Edmundas Kazimieras, Jurgita Antuchevičienė, and Oleg Kaplinski. "MULTI-CRITERIA DECISION MAKING IN CIVIL ENGINEERING. PART II – APPLICATIONS." Engineering Structures and Technologies 7, no. 4 (April 4, 2016): 151–67. http://dx.doi.org/10.3846/2029882x.2016.1139664.
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The first part of the paper shortly presented developments of multi-criteria decision making (MCDM) methods and general data about their use in civil engineering, i.e. distribution by years, countries, authors and journals (Zavadskas et al. 2015). The current part of the paper focuses on MCDM application areas and domains. Web of Science Category “Engineering Civil” in Thomson Reuters Web of Science Core Collection academic data base is searched for a topic of MCDM. Only articles and review document types are selected for a detailed survey. They are grouped by Research Areas as presented in Web of Science data base. The most numerous research areas as Construction Building Technology, Transportation, Water Resources and Engineering (other topics) are analysed in detail. Research domains and solved problems are described as well as applied MCDM methods are highlighted. A total of 114 articles are reviewed, showing a wide possibilities of applying MCDM methods for civil engineering problems.
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Sikder, Abu Hena Mustafa Kamal, and Mashfiqus Salehin. "Multi-criteria decision making methods for rural water supply: a case study from Bangladesh." Water Policy 17, no. 6 (June 3, 2015): 1209–23. http://dx.doi.org/10.2166/wp.2015.111.
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Multiple criteria decision making (MCDM) is a process of evaluating alternatives against relevant decision making criteria. Several methods are available to facilitate the evaluation steps. This paper deals with a rural water supply problem in the coastal areas of Bangladesh. Three different MCDM methods – weighted summation, analytical hierarchy process, and novel approach to imprecise assessment and decision environments – were used to evaluate the suitable water supply alternative. The ranking of alternatives obtained from these MCDM techniques produced similar results. Among five water supply alternatives evaluated, rainwater harvesting systems and deep tube wells scored first and second, respectively, for all three evaluation methods. In addition, sensitivity analyses were carried out for the MCDM techniques and these results did not show drastic variations either. This finding implies that while selection of MCDM technique is important, when evaluating similar problems more emphasis should be given to defining the problem comprehensively and thus selecting the relevant criteria and priorities to factor into the decision problem.
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Azhar, Nayli Adriana, Nurul Asyikin Mohamed Radzi, and Wan Siti Halimatul Munirah Wan Ahmad. "Multi-criteria Decision Making: A Systematic Review." (Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 14, no. 8 (December 23, 2021): 779–801. http://dx.doi.org/10.2174/2352096514666211029112443.
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Multi Criteria Decision Making (MCDM) helps decision makers (DMs) solve highly complex problems. Accordingly, MCDM has been widely used by DMs from various fields as an effective and reliable tool for solving various problems, such as in site and supplier selection, ranking and assessment. This work presents an in-depth survey of past and recent MCDM techniques cited in the literature. These techniques are mainly categorised into pairwise comparison, outranking and distance-based approaches. Some well-known MCDM methods include the Analytical Hierarchy Process (AHP), Analytical Network Process (ANP), Elimination et Choix Traduisant la Realité (ELECTRE), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Each of these methods is unique and has been used in a vast field of interest to support DMs in solving complex problems. For a complete survey, discussions related to previous issues and challenges and the current implementation of MCDM are also presented.
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Saaty, Thomas L., and Daji Ergu. "When is a Decision-Making Method Trustworthy? Criteria for Evaluating Multi-Criteria Decision-Making Methods." International Journal of Information Technology & Decision Making 14, no. 06 (November 2015): 1171–87. http://dx.doi.org/10.1142/s021962201550025x.
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Decision makers often face complicated decision problems with intangible and conflicting criteria. Numerous multi-criteria decision-making (MCDM) methods have been proposed to handle the measurement of the priorities of conflicting tangible/intangible criteria and in turn use them to choose the best alternative for a decision. However, the presence of many MCDM methods bewilders users. The existence of these methods becomes a decision problem in itself, and decision makers may be uncertain about which one to use. Thus the comparative analysis and evaluation of various MCDM methods has come under scrutiny by both researchers and practitioners in order to discover if there are logical, mathematical, social or practical reasons why one method is better than another. Criteria for their evaluation are the first important issue that needs to be resolved. In this paper, 16 criteria are introduced that may be used to judge and evaluate various MCDM methods. The criteria proposed and some guidelines for their evaluation are given to help readers evaluate these MCDM methods.
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Anysz, Hubert, Aleksander Nicał, Željko Stević, Michał Grzegorzewski, and Karol Sikora. "Pareto Optimal Decisions in Multi-Criteria Decision Making Explained with Construction Cost Cases." Symmetry 13, no. 1 (December 30, 2020): 46. http://dx.doi.org/10.3390/sym13010046.
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In multi-criteria decision-making (MCDM) problems the decision-maker is often forced to accept a not ideal solution. If the ideal choice exists, it would be certainly chosen. The acceptance of a non- ideal solution leads to some inadequate properties in the chosen solution. MCDM methods help the decision-maker to structure his needs considering different units, in which the properties of the solutions are expressed. Secondly, with MCDM tools the assessment of the available solutions can be calculated with consideration of the decision-maker’s needs. The incorporation of the cost criterion into the decision maker’s preferences calculation, and the solution assessment calculation, deprives the decision-maker of the ability to calculate the financial result of the decision he must make. A new multi-criteria decision making with cost criterion analysed at the final stage (MCDM-CCAF) method is developed based on principle of Pareto optimal decisions. It is proposed to exclude the cost criterion from the MCDM analysis and consider it at the final phase of the decision-making process. It is illustrated by example solutions with consideration of cost criterion and without it. It is proposed to apply the invented post-processing method to all MCDM analyses where the cost criterion of analysed variants is considered.
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Muhammad Akram Ramadhan Ibrahim, Nor Izzati Jaini, and Ku Muhammad Naim Ku Khalif. "A Review of Game Theory and Multi-Criteria Decision-Making Methods with 10 Application to the Oil Production and Price." Malaysian Journal of Applied Sciences 7, no. 1 (April 30, 2022): 10–26. http://dx.doi.org/10.37231/myjas.2022.7.1.298.
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The oil production and price issues have been discovered a long time ago, and always be a continuous problem to the globe especially during the current global threats of the coronavirus pandemic. This paper provides a literature review that involves game theory and multi-criteria decision-making (MCDM) methods with its applications to oil production and price problems. This paper identifies and analyses the use of the game theory and MCDM methods on oil production and price to compare the situation studied, to determine the model that has been used, the trend of past literature and also the details of the basic elements for the game theory framework. Therefore, the oil production and price problem using the game theory and MCDM methods are reviewed and numerous applications studied from the past works of literature are highlighted. The trend of oil production and price which used the game theory and MCDM methods based on the year 2001 till 2021 is still lacking sources from the Web of Science and Scopus databases. The main contribution of the recent study is the employment of the game theory and MCDM methods to the oil production and price problem.
Keywords: Game theory; MCDM; oil production; oil price
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da Silva, Renan Favarão, Marjorie Maria Bellinello, Gilberto Francisco Martha de Souza, Sara Antomarioni, Maurizio Bevilacqua, and Filippo Emanuele Ciarapica. "Deciding a Multicriteria Decision-Making (MCDM) Method to Prioritize Maintenance Work Orders of Hydroelectric Power Plants." Energies 14, no. 24 (December 8, 2021): 8281. http://dx.doi.org/10.3390/en14248281.
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The current global competitive scenario and the increase in complexity and automation of equipment and systems demand better results from maintenance management in organizations. As maintenance resources are limited, prioritizing maintenance activities is essential to allocate them properly and to meet maintenance management objectives. In the face of these challenges, multicriteria decision-making (MCDM) methods are commonly used in organizations to support decision-making. Nevertheless, selecting a suitable MCDM method for maintenance planning can be complicated given the diversity of methods and their strengths and weaknesses. In this context, this paper proposes a novel knowledge-based method for deciding a multicriteria decision-making (MCDM) method to prioritize maintenance work orders of hydroelectric plants. As the main novel contribution, it translates the intrinsic characteristics of the main MCDM methods into questions related to maintenance planning to guide the recommendation of a suitable MCDM method for organizations through a decision tree diagram. This approach was applied to a maintenance case study of a hydroelectric power plant in order to demonstrate its use and contribute to its understanding. These findings contribute to maintenance management in selecting an MCDM method aligned with the context of its maintenance planning for the prioritization of maintenance work orders.
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Pai, Ping-Feng, Chen-Tung Chen, and Wei-Zhan Hung. "Applying linguistic information and intersection concept to improve effectiveness of multi-criteria decision analysis technology." International Journal of Information Technology & Decision Making 13, no. 02 (March 2014): 291–315. http://dx.doi.org/10.1142/s0219622014500436.
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Multi-criteria decision-making (MCDM) is one of the most widely used decision methodologies. Because every kind of MCDM approach has unique strengths and weaknesses, it is difficult to determine which kind of MCDM approach is best suited to a specific problem. Therefore, a new decision-making method is proposed herein, based on linguistic information and intersection concepts; it is called the linguistic intersection method (LIM). Notably, the linguistic variables are more suited to expressing the opinion of each decision maker. There are four MCDM methods: TOPSIS, ELECTRE, PROMETHEE and VIKOR which are included in the LIM. First, each MCDM approach is used to determine the ranking order of all alternatives in accordance with the linguistic evaluations of decision makers. Then, the intersection set is determined with regard to the better alternatives of all methods. Third, the final ranking order of alternatives in the intersection set can be determined by the proposed method. Lastly, an example is given to describe the procedure of the proposed method. In order to verify the effectiveness of the proposed method, a simulation test is provided to compare the LIM with the linguistic MCDM method. According to the comparison results, the proposed method is more stable in determining the ranking order of all decision alternatives.
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Rigo, Paula Donaduzzi, Graciele Rediske, Carmen Brum Rosa, Natália Gava Gastaldo, Leandro Michels, Alvaro Luiz Neuenfeldt Júnior, and Julio Cezar Mairesse Siluk. "Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process." Sustainability 12, no. 23 (December 7, 2020): 10195. http://dx.doi.org/10.3390/su122310195.
Full textAbstract:
In the current scenario of increasing energy demand and encouraging sustainable development in countries, the energy sector’s planning has become more complex, involving multiple factors, such as technical, economic, environmental, social, and political. The decision process plays a vital role in structuring and evaluating complex decision situations related to the sector, considering various criteria and objectives, encouraging adopting policies to promote energy efficiency actions by increasing research on renewable energy sources and strategic energy decisions. The high number of multi-criteria decision support methods (MCDM) available and their efficiency in solving highly complex problems results in an impasse with their selection and application in specific decision situations. Thus, the scientific community requires methodological approaches that help the decision-maker select the method consistent with his problem. Accordingly, this paper conducts a Systematic Literature Review (SLR) of renewable energy problems associated with MCDM methods based on a final set of 163 articles. We identified five categories of problems solved by MCDM techniques: Source selection, location, sustainability, project performance, and technological performance. We separate the MCDM process into five evaluation steps (alternative selection, criteria selection, criteria weighting, evaluation of alternatives, and post-assessment analyzes), and we extract the methods used in each MCDM step from papers. This paper’s main contribution is identifying the most common MCDM methods in the renewable energy area and the energy problem they solve. Accordingly, this manuscript helps energy decision-makers, entrepreneurs, investors, and policy-makers to improve their ability to choose the proper MCDM methods to solve energy problems.