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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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Hülle, Judith, and Ralf Kaspar. "Multiple Criteria Decision Making (MCDM)." Controlling 22, no. 3 (2010): 207–8. http://dx.doi.org/10.15358/0935-0381-2010-3-207.
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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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Edwards, Thomas G., and Kenneth R. Chelst. "Purchasing a Used Car Using Multiple Criteria Decision Making." Mathematics Teacher 101, no. 2 (September 2007): 126–35. http://dx.doi.org/10.5951/mt.101.2.0126.
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A Multiple Criteria Decision Making process (MCDM) in which students assign a numerical value to each alternative in a situation, and compute the highest value in order to quantify the optimum choice. MCDM can be used in making decisions such as choosing the best car or right college. This lesson can be used across the mathematics curriculum.
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Zeleny, Milan. "Multiple criteria decision making: eight concepts of optimality1." Human Systems Management 17, no. 2 (April 17, 1998): 97–107. http://dx.doi.org/10.3233/hsm-1998-17203.
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Multiple Criteria Decision Making (MCDM) is firmly rooted in an alternative concept of optimality where multiple (rather than single) criteria characterize the notion of “the best” (or optimal), as is prevalent in the areas of economics, engineering, management and business. These are often constrained problems where search for an optimal solution requires some form of evaluating criteria performance tradeoffs. Because there are no tradeoffs along a single criterion, optimality is an essentially multi-criteria concept. In this paper we extend and develop the notion of optimum as a balance among multiple criteria. We introduce eight different, separate and mutually irreducible optimality concepts in a classification scheme where the traditional single-objective optimality is only a special case. These eight optimality concepts provide a useful initiatory framework for the future MCDM research and applications.
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VO, HUY V., BONGSUG CHAE, and DAVID L. OLSON. "DYNAMIC MCDM: THE CASE OF URBAN INFRASTRUCTURE DECISION MAKING." International Journal of Information Technology & Decision Making 01, no. 02 (June 2002): 269–92. http://dx.doi.org/10.1142/s0219622002000166.
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Many societal decisions involve complexity and conflicting objectives. Preferences in such environments can be expected to change as situations evolve. In this paper, we propose a procedure that incorporates Multiple Criteria Decision Making (MCDM) into system dynamics modeling to handle dynamic multiple criteria situations, which we name dynamic MCDM. A case of urban infrastructure is presented to illustrate the procedure. Dynamic MCDM can handle different lags in economic, social, economic and technical effects of large scale systems. Thus, it may help decision makers avoid selecting alternatives apparently effective in the short term, but detrimental in the long term.
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Cinelli, Marco, and Marco Cinelli. "The Art of Supporting Decision-Making." Exchanges: The Interdisciplinary Research Journal 4, no. 2 (April 30, 2017): 298–308. http://dx.doi.org/10.31273/eirj.v4i2.166.
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The provision of decision support methods and strategies is of primary importance to guarantee justifiable decision-making processes. Many of the experts and practitioners in this area gathered from 3 to 7 August 2015 at the 23rd Conference of the International Society on Multiple Criteria Decision Making at Helmut-Schmidt University in Germany. This critical reflection gathers the opinions and perspectives of eight leading scholars in the area of decision support, which were mostly video-recorded at this conference. The core findings of those interviews are summarized in this article, which focuses on (i) what Multiple Criteria Decision Making, Analysis and Aiding (MCDM/A) is, (ii) its main strengths and success factors, (iii) the recommended pathway to pursue a comprehensive understanding of MCDM/A; (iv) the main areas of application where MCDM/A is used; and (v) the recommended approaches to integrate MCDM/A in other research domains.
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Leung, PingSun. "Multiple-criteria decision-making (MCDM) applications in fishery management." International Journal of Environmental Technology and Management 6, no. 1/2 (2006): 96. http://dx.doi.org/10.1504/ijetm.2006.008255.
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Wang, Rui, and Yanlai Li. "Picture Hesitant Fuzzy Set and Its Application to Multiple Criteria Decision-Making." Symmetry 10, no. 7 (July 20, 2018): 295. http://dx.doi.org/10.3390/sym10070295.
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To address the complex multiple criteria decision-making (MCDM) problems in practice, this article proposes the picture hesitant fuzzy set (PHFS) theory based on the picture fuzzy set and the hesitant fuzzy set. First, the concept of PHFS is put forward, and its operations are presented, simultaneously. Second, the generalized picture hesitant fuzzy weighted aggregation operators are developed, and some theorems and reduced operators of them are discussed. Third, the generalized picture hesitant fuzzy prioritized weighted aggregation operators are put forward to solve the MCDM problems that the related criteria are at different priorities. Fourth, two novel MCDM methods combined with the proposed operators are constructed to determine the best alternative in real life. Finally, two numerical examples and an application of web service selection are investigated to illustrate the effectiveness of the proposed methods. The sensitivity analysis shows that the different values of the parameter λ affect the ranking of alternatives, and the proposed operators are compared with several existing MCDM methods to illustrate their advantages.
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Wu, Chung-Min, Ching-Lin Hsieh, and Kuei-Lun Chang. "A Hybrid Multiple Criteria Decision Making Model for Supplier Selection." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/324283.
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The sustainable supplier selection would be the vital part in the management of a sustainable supply chain. In this study, a hybrid multiple criteria decision making (MCDM) model is applied to select optimal supplier. The fuzzy Delphi method, which can lead to better criteria selection, is used to modify criteria. Considering the interdependence among the selection criteria, analytic network process (ANP) is then used to obtain their weights. To avoid calculation and additional pairwise comparisons of ANP, a technique for order preference by similarity to ideal solution (TOPSIS) is used to rank the alternatives. The use of a combination of the fuzzy Delphi method, ANP, and TOPSIS, proposing an MCDM model for supplier selection, and applying these to a real case are the unique features of this study.
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BÜYÜKÖZKAN, GÜLÇIN, and DA RUAN. "EVALUATING GOVERNMENT WEBSITES BASED ON A FUZZY MULTIPLE CRITERIA DECISION-MAKING APPROACH." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no. 03 (June 2007): 321–43. http://dx.doi.org/10.1142/s0218488507004704.
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This paper presents a framework of website quality evaluation for measuring the performance of government websites. Multiple criteria decision-making (MCDM) is a widely used tool for evaluating and ranking problems containing multiple, usually conflicting criteria. In line with the multi-dimensional characteristics of website quality, MCDM provides an effective framework for an inter-websites comparison involving the evaluation of multiple attributes. It thus ranks different websites compared in terms of their overall performance. This paper models the inter-website comparison problem as an MCDM problem, and presents a practical and selective approach to deal with it. In addition, fuzzy logic is applied to the subjectivity and vagueness in the assessment process. The proposed framework is effectively illustrated to rate Turkish government websites.
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Zeng, Shouzhen, Jianping Chen, and Xingsen Li. "A Hybrid Method for Pythagorean Fuzzy Multiple-Criteria Decision Making." International Journal of Information Technology & Decision Making 15, no. 02 (March 2016): 403–22. http://dx.doi.org/10.1142/s0219622016500012.
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As a generalization of intuitionistic fuzzy set, the Pythagorean fuzzy set is interesting and very useful in modeling uncertain information in real-world decision-making problems. In this paper, we develop a new method for Pythagorean fuzzy multiple-criteria decision-making (MCDM) problems with aggregation operators and distance measures. First, we present the Pythagorean fuzzy ordered weighted averaging weighted average distance (PFOWAWAD) operator. The main advantage of the PFOWAWAD operator is that it uses distance measures in a unified framework between the ordered weighted averaging (OWA) operator and weighted average (WA) that considers the degree of importance of each concept in the aggregation. Some of its main properties and special cases are studied. Then, based on the proposed operator, a hybrid TOPSIS method, called PFOWAWAD-TOPSIS is introduced for Pythagorean fuzzy MCDM problem. Finally, a numerical example is provided to illustrate the practicality and feasibility of the developed method.
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Pérez-Domínguez, Luis, Luis Alberto Rodríguez-Picón, Alejandro Alvarado-Iniesta, David Luviano Cruz, and Zeshui Xu. "MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making." Complexity 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/2602376.
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The multiobjective optimization on the basis of ratio analysis (MOORA) method captures diverse features such as the criteria and alternatives of appraising a multiple criteria decision-making (MCDM) problem. At the same time, the multiple criteria problem includes a set of decision makers with diverse expertise and preferences. In fact, the literature lists numerous approaches to aid in this problematic task of choosing the best alternative. Nevertheless, in the MCDM field, there is a challenge regarding intangible information which is commonly involved in multiple criteria decision-making problem; hence, it is substantial in order to advance beyond the research related to this field. Thus, the objective of this paper is to present a fused method between multiobjective optimization on the basis of ratio analysis and Pythagorean fuzzy sets for the choice of an alternative. Besides, multiobjective optimization on the basis of ratio analysis is utilized to choose the best alternatives. Finally, two decision-making problems are applied to illustrate the feasibility and practicality of the proposed method.
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Antuchevičienė, Jurgita, Edmundas Kazimieras Zavadskas, and Algimantas Zakarevičius. "MULTIPLE CRITERIA CONSTRUCTION MANAGEMENT DECISIONS CONSIDERING RELATIONS BETWEEN CRITERIA / DAUGIATIKSLIAI STATYBOS VALDYMO SPRENDIMAI ATSIŽVELGIANT Į RODIKLIŲ TARPUSAVIO PRIKLAUSOMYBĘ." Technological and Economic Development of Economy 16, no. 1 (March 31, 2010): 109–25. http://dx.doi.org/10.3846/tede.2010.07.
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Decision making in construction management has been always complicated especially if there were more than one criterion under consideration. Multiple criteria decision making (MCDM) has been often applied for complex decisions in construction when a lot of criteria were involved. Traditional MCDM methods, however, operate with independent and conflicting criteria. While in every day problems a decision maker often faces interactive and interrelated criteria. Accordingly, the need of improving and supplementing the methodology of compromise decisions arose. It was proposed to supplement TOPSIS (Technique for the Order Preference by Similarity to Ideal Solution) method and integrate the Mahalanobis distance in the usual algorythm of TOPSIS. Mahalanobis distance measure offered an option to take the correlations between the criteria into considerations while making the decision. A case study of building redevelopment in Lithuanian rural areas was presented that demonstrated the application of the proposed methodology. The case study proved that the proposed TOPSIS‐M (TOPSIS applying Mahalanobis distance measure) method could have substantial influence in carrying the proper decision. Santrauka Statybos valdymo spendimų priėmimas visuomet yra komplikuotas, ypač jei turime atsižvelgti į daugelį rodiklių. Kompleksiniams statybos sprendimams, kurie apibūdinami daugeliu rodiklių, taikomi daugiatiksliai sprendimų priėmimo metodai (MCDM ‐ Multiple Criteria Decision Making). Šie metodai skirti sprendimams priimti tuomet, kai vertinami konfliktuojantys bei nepriklausomi rodikliai. Tačiau realiose situacijose, priešingai, nuolat susiduriame su saveikaujančiais ir tarpusavio priklausomybę turinčiais rodikliais. Dėl šios priežasties kyla poreikis patobulinti sprendimų metodologiją. Straipsnyje siūloma papildyti variantų racionalumo nustatymo metoda TOPSIS (Technique for the Order Preference by Similarity to Ideal Solution), taikant Mahalanobio metoda atstumams nustatyti. Mahalanobio atstumų nustatymo metodas suteikia galimybę įvertinti koreliacinės rodiklių priklausomybės priimant daugiatikslį sprendimą. Siūlomos metodologijos taikymas įliustruojamas sprendžiant apleistų pastatų Lietuvos kaimo vietovėse racionalaus sutvarkymo uždavinį. Pateiktas pavyzdys patvirtina, kad TOPSIS‐M metodo (t. y. TOPSIS naudojant Mahalanobio atstuma) taikymas gali turėti esminę įtaka priimant sprendimą.
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Zhu, Xingyu, Xianhai Meng, and Min Zhang. "APPLICATION OF MULTIPLE CRITERIA DECISION MAKING METHODS IN CONSTRUCTION: A SYSTEMATIC LITERATURE REVIEW." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 27, no. 6 (July 15, 2021): 372–403. http://dx.doi.org/10.3846/jcem.2021.15260.
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Decision making is a key to business or project success in any sectors, especially in construction that requires handling numerous information and knowledge. Multiple criteria decision making (MCDM) is an important tool for decision problem solving due to simultaneous consideration of multiple criteria and objectives. Various MCDM methods are continually emerging and tend to be increasingly adopted to address the real-world construction problems. Therefore, it is urged to systematically review the existing body of literature to demonstrate the evolution of the mainstream MCDM methods in general and their application status in construction. A total of 530 construction articles published from 2000 to 2019 are selected in this study and then categorized into seven major application areas using a novel systematic literature review (SLR) methodology. The bibliometric analysis is then used to describe the research trend. Subsequently, the qualitative discussion by themes is conducted to analyze the application of MCDM methods in construction. A further discussion makes it possible to identify the potential challenges (e.g. applicability, robustness, postpone effect, dynamic and prospective challenges and scale problem) to existing research. It also contributes to the recommendation of future directions for the development of MCDM methods that would benefit construction research and practice.
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Azadfallah, Mohammad. "Multi-Criteria Decision Making for Ranking Decision Making Units." International Journal of Productivity Management and Assessment Technologies 6, no. 1 (January 2018): 17–36. http://dx.doi.org/10.4018/ijpmat.2018010102.
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There is no doubt the Data Envelopment Analysis (DEA) is a powerful method for the efficiency evaluation of Decision Making Units (DMUs) with multiple inputs and outputs. Despite its usefulness, DEA has some notable limitations. A significant drawback with this approach is that inability to fully rank the DMUs. In the extant literature, different methods for this purpose have been suggested. While, in the traditional method the first step for the DEA approach is used, and results of this step are input for the DEA ranking method in the second step. To reduce the computational complexity of the traditional method, a new Multiple Criteria Decision Making (MCDM) approach is proposed in this article. In the proposed approaches, one step can achieve full ranking for all DMUs. The results show that although out of 20 DMUs are first in the final ranking ordered by the DEA, the author proposed methods can consider full ranking. Agreement of the proposed methods with the existing approaches are measured by the Spearman's rank correlation coefficient technique. The findings of this study reveal that TOPSIS, Neo-TOPSIS, and AHP ranking results are consistent with the DEA ranking method. Therefore, these proposed methods appear as the possible alternatives to the DEA and DEA ranking models.
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Yang, Zhe, Kan Yang, Yufeng Wang, Lyuwen Su, and Hu Hu. "The improved multi-criteria decision-making model for multi-objective operation in a complex reservoir system." Journal of Hydroinformatics 21, no. 5 (June 21, 2019): 851–74. http://dx.doi.org/10.2166/hydro.2019.150.
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Abstract In multi-objective reservoir operation, it is vital for decision-makers to select optimal scheduling schemes through efficient multi-criteria decision-making (MCDM) techniques. However, in the family of MCDM methods, it is difficult for the technique for order preference by similarity to an ideal solution (TOPSIS) to describe grey correlation, thus making decisions with less reliability. To this end, a framework supporting high-quality solutions' acquirement and optimal reservoir operation decision-making is established. The improved multi-objective particle swarm optimization (IMOPSO), a new efficient MCDM model based on TOPSIS and grey correlation analysis (GCA), and combination weighting method based on the minimum deviation (CWMMD) are included in the framework. The non-inferior solution set is efficiently obtained by IMOPSO and optimal decision information is provided for decision-makers using the MCDM model. Moreover, the CWMMD is used to determine weighting information of multiple evaluation indicators. Numerical simulations are conducted to verify the efficiency of the proposed methodology and support decision-making for multi-objective reservoir operation in Hongjiadu and Qingjiang basins. The results indicate that the proposed methodology can provide non-inferior scheduling solutions and decision-making instruction with higher reliability for multi-objective reservoir operation.
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Kazimieras Zavadskas, Edmundas, Jurgita Antucheviciene, and Prasenjit Chatterjee. "Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management." Information 10, no. 1 (December 23, 2018): 4. http://dx.doi.org/10.3390/info10010004.
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Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches in addition to a single paper proposing an interactive multi-objective decision-making (MODM) approach. The papers are mainly concentrated in three application areas: supplier selection and rational order allocation, the evaluation and selection of goods or facilities, and personnel selection/partner selection. A number of new approaches are proposed that are expected to attract great interest from the research community.
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Sumaryanti, Lilik, and Nurcholis Nurcholis. "Analysis of Multiple Criteria Decision Making Method for Selection the Superior Cattle." INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi 4, no. 1 (February 8, 2020): 131–41. http://dx.doi.org/10.29407/intensif.v4i1.13863.
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The results of decision making play an important role in achieving a goal in solving certain problems. In the decision making process requires data or supporting evidence that can be used as a guide for the selection of solutions based on available alternatives, so as to produce choices that can increase productivity. MCDM method for the analysis of research data namely AHP, TOPSIS and SMART, the three methods are tested, because each MCDM method has a different way of working or algorithm, so it is necessary to experiment with certain cases. This study aims to determine the performance of the AHP, TOPSIS, and SMART methods with a case study of selecting superior female cattle breeds. The application of three MCDM methods for alternative analysts of prospective superior beef cattle based on testing to determine the accuracy of comparing the results/output of the system with expert recommendation solutions using a sample of 15 female cows that produce priority/ranking for superior beef cattle, shows that the performance of the three methods produces priority selection results the same, with 80% priority accuracy.
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Karamti, Hanen, Muhammad Sarwar Sindhu, Muhammad Ahsan, Imran Siddique, Ibrahim Mekawy, and Hamiden Abd El-Wahed Khalifa. "A Novel Multiple-Criteria Decision-Making Approach Based on Picture Fuzzy Sets." Journal of Function Spaces 2022 (February 27, 2022): 1–8. http://dx.doi.org/10.1155/2022/2537513.
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Experts are using picture fuzzy sets (PFSs) in their probes to resolve the uncertain and vague information during the process of decision making because PFSs describe human attitudes naturally. Divergence measure (DM) plays a dominant role in discriminating between two distributions of probability and extracting consequences from that discrimination. In the present work, a novel picture fuzzy divergence measure (PF-DM) is developed between two PFSs. Some of the suggested measure’s important qualities are also discussed with particular situations to validate it. Based on the suggested PF-DM, a multiple-criteria decision-making (MCDM) model is established to grab the fuzzy information. The suggested measure’s performance is compared to that of various existing measures in the literature. An MCDM model has been proven for the usefulness of the suggested technique in dealing with real-life scenarios in the context of dengue sickness and pattern identification. Validation of the suggested MCDM model has been further investigated using validity testing. To improve the generated model, a thorough comparison with several current methodologies has been carried out while taking the time complexity (TC) factor into account.
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Saffarzadeh, S., A. Hadi-Vencheh, and A. Jamshidi. "An Interval Based Score Method for Multiple Criteria Decision Making Problems." International Journal of Information Technology & Decision Making 18, no. 05 (September 2019): 1667–87. http://dx.doi.org/10.1142/s0219622019500299.
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In this paper, a linear optimization approach to solve multiple criteria decision making (MCDM) problems is presented. For this purpose, two linear programming problems are proposed in the most favorable and least favorable senses. Then, an overall score as an interval number for each alternative is obtained. The lower bound is the score in the most favorable sense and its upper bound is the performance in the least favorable sense. The order of all alternatives is ranked in descending order in accordance with these interval numbers using the concept of degree of possibility. This study makes three major contributions. First, the proposed method employs linear programming (LP) technique to solve MCDM problems. Second, the common set of weights are utilized to solve the proposed LP models. Finally, the presented approach incorporates the decision maker preferences in decision making process.
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Aguezzoul, Aicha, and Gilles Paché. "A Decision Making Tool for Selection of LSPs." International Journal of Business and Management 13, no. 5 (April 18, 2018): 95. http://dx.doi.org/10.5539/ijbm.v13n5p95.
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This research note aims to propose a multiple criteria decision making (MCDM) based on ELECTRE method to solve the logistics service providers (LSPs) selection problem. In the contemporary global market, this selection represents a strategic process and a complex issue, as it involves various qualitative and quantitative criteria as well as decisions. The proposed model consists of two phases: (1) a survey of French firms was carried out so as to identify the factors that should be considered in the LSPs selection decision; (2) an application of the model, as well as its comparison with the weighted sum, were conducted. The approach uses criteria that are important for the firms that participated to the survey. The results indicate that the ELECTRE method suggests a better ranking of the LSPs than the weighted sum, initially used in the case study. The proposed MCDM model can provide the guidelines and directions for the decision makers to effectively choose LSPs in the current competitive environment. In addition, this study fills a gap in the literature on LSPs selection problem, where MCDM methods are seldom used.
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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.
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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.
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Liou, James J. H., and Gwo-Hshiung Tzeng. "COMMENTS ON “MULTIPLE CRITERIA DECISION MAKING (MCDM) METHODS IN ECONOMICS: AN OVERVIEW”." Technological and Economic Development of Economy 18, no. 4 (December 20, 2012): 672–95. http://dx.doi.org/10.3846/20294913.2012.753489.
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This paper offers comments on a previously published paper, titled “Multiple criteria decision making (MCDM) methods in economics: an overview,” by Zavadskas and Turskis (2011). The paper's authors made great efforts to summarize MCDM methods but may have failed to consider several important new concepts and trends in the MCDM field for solving actual problems. First, the traditional model assumes the criteria are independently and hierarchically structured; however, in reality, problems are often characterized by interdependent criteria and dimensions and may even exhibit feedback-like effects. Second, relatively good solutions from the existing alternatives are replaced by aspiration levels to fit today's competitive markets. Third, the emphasis in the field has shifted from ranking and selection when determining the most preferable approaches to performance improvement of existing methods. Fourth, information fusion techniques, including the fuzzy integral method, have been developed to aggregate the performances. Finally, the original fixed resources in multi-objective programming are divided such that both decision and objective spaces are changeable. In this paper, we add new concepts and provide comments that could be thought of as an attempt to complete the original paper.
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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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Cherif, Mouna Regaieg, and Hela Moalla Frikha. "An extension of the codas method based on Interval Rough Numbers for multi-criteria group decision making." Multiple Criteria Decision Making 16 (2021): 23–43. http://dx.doi.org/10.22367/mcdm.2021.16.02.
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This study aims to develop a new Interval Rough COmbinative Distance-based Assessment (IR CODAS) method for handling multiple criteria group decision making problems using linguistic terms. A single decision maker is unable to express his opinions or preferences on multiple criteria decisions, while a Multi-Criteria Group Decision Making MCGDM process ensures successful outcomes when handling greater imprecision and vagueness information. A real-life case study of risk assessment is investigated using our proposed IR-CODAS method to test and validate its application; a sensitivity analysis is also performed. Keywords: Interval Rough Numbers, group decision making, IR-CODAS method, risk assessment.
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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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García, Vicente, J. Salvador Sánchez, and Ana I. Marqués. "Synergetic Application of Multi-Criteria Decision-Making Models to Credit Granting Decision Problems." Applied Sciences 9, no. 23 (November 22, 2019): 5052. http://dx.doi.org/10.3390/app9235052.
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Although various algorithms have widely been studied for bankruptcy and credit risk prediction, conclusions regarding the best performing method are divergent when using different performance assessment metrics. As a solution to this problem, the present paper suggests the employment of two well-known multiple-criteria decision-making (MCDM) techniques by integrating their preference scores, which can constitute a valuable tool for decision-makers and analysts to choose the prediction model(s) more properly. Thus, selection of the most suitable algorithm will be designed as an MCDM problem that consists of a finite number of performance metrics (criteria) and a finite number of classifiers (alternatives). An experimental study will be performed to provide a more comprehensive assessment regarding the behavior of ten classifiers over credit data evaluated with seven different measures, whereas the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE) techniques will be applied to rank the classifiers. The results demonstrate that evaluating the performance with a unique measure may lead to wrong conclusions, while the MCDM methods may give rise to a more consistent analysis. Furthermore, the use of MCDM methods allows the analysts to weight the significance of each performance metric based on the intrinsic characteristics of a given credit granting decision problem.
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Di Caprio, Debora, and Francisco Javier Santos Arteaga. "Special Issue on Algorithms and Models for Dynamic Multiple Criteria Decision Making." Algorithms 14, no. 8 (August 8, 2021): 233. http://dx.doi.org/10.3390/a14080233.
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Zeleny, Milan. "Multiple Criteria Decision Making (MCDM): From Paradigm Lost to Paradigm Regained?" Journal of Multi-Criteria Decision Analysis 18, no. 1-2 (January 2011): 77–89. http://dx.doi.org/10.1002/mcda.473.
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Faisal, Mohd Nishat, and Bilal Mustafa Khan. "Selecting an Advertising Agency: A Multi-Criteria Decision Making Approach." Vision: The Journal of Business Perspective 12, no. 4 (October 2008): 13–22. http://dx.doi.org/10.1177/097226290801200402.
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Indian economy is evolving day by day, and with an upswing spending power of its inhabitants advertising has been emerging as one of the most effective tools for the companies to reach out to their customers. Best advertisement agencies create value through giving the product personality, developing an understanding of product/service, creating an image or memorable picture of that product and above all trying to distinguish the product apart from its competitors. Today, advertising budgets of companies are rising and thus there are numerous agencies in the market vying for their shares. But there exists no method, which can take into account numerous criterions and their impact simultaneously under consideration while selecting a best advertisement agency. Selecting an advertisement agency is a multiple criteria decision-making (MCDM) problem that requires considering large number of complex factors as multiple evaluation criteria. A robust MCDM method should consider the interactions among criteria. Analytic network process (ANP) is a relatively new MCDM method which can deal with all kinds of interactions systematically. This paper proposes an ANP based methodology for the selection of advertisement agencies. ANP is capable of measuring the relative importance that captures all indirect interactions in a network required to be considered in an advertisement agency selection and also their interactions. Additionally, the proposed model is evaluated for a case company.
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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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Dymova, Ludmila, Krzysztof Kaczmarek, Pavel Sevastjanov, and Joanna Kulawik. "A Fuzzy Multiple Criteria Decision Making Approach with a Complete User Friendly Computer Implementation." Entropy 23, no. 2 (February 7, 2021): 203. http://dx.doi.org/10.3390/e23020203.
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The paper presents the generalization of the almost forty years of experience in the field of setting and solving the multiple criteria decision-making (MCDM) problems in various branches of a human activity under different types of uncertainties that inevitably accompany such problems. Based only on the pragmatic intentions, the authors avoid the detailed descriptions of the known methods for the decision-making, while instead focusing on the most frequently used mathematical tools and methodologies in the decision-making practice. Therefore, the paper may be classified as a special kind of illustrative review of the mathematical tools that are focused on applications and are the most used in the solutions of MCDM problems. As an illustrative example, a complete user-friendly computer implementation of such tools and methodology is presented with application to the simple “buying a cat” problem, which, however, possesses all the attributes of the hierarchical fuzzy MCDM task.
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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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Abdulaal, Reda M. S., and Omer A. Bafail. "Two New Approaches (RAMS-RATMI) in Multi-Criteria Decision-Making Tactics." Journal of Mathematics 2022 (September 27, 2022): 1–20. http://dx.doi.org/10.1155/2022/6725318.
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When a decision must be made, a tool called multi-criteria decision-making (MCDM) is used to assess and select alternatives among numerous criteria. For a wide variety of complex problems, MCDM methods have demonstrated usefulness in finding the optimal solutions. Despite the abundance of MCDM methods available today, there has been slow progress in developing new methodologies in MCDM in the past decade. In this context, this paper presents new MCDM tools which ranks alternatives based on median similarity (RAMS) between optimal alternatives and other alternatives. RAMS is an extension to the most recently developed technique that used perimeter similarity (RAPS). This paper also introduces a further tool that combines the RAMS method with the multiple criteria ranking by alternative trace (MCRAT) methodology using a majority index and the concept of the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. This tool is ranking the alternatives based on the trace to median index (RATMI). An illustration of the use of RAMS and RATMI is given through a case study of ranking different materials for the selection of break booster valve body in a vehicle. The validity of the new two techniques was tested against seven well-known MCDM techniques (ARAS, SAW, TOPSIS, COPRAS, VIKOR, WASPAS, and MOORA) using fifteen real problems data taken from the literature. The RATMI technique was more promising than RAPS and RAMS for 87% and 93% of the fifteen difficulties, respectively, according to the results of the correlation coefficient tests between the developed techniques and the selected seven techniques.
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BRAGGE, JOHANNA, PEKKA KORHONEN, HANNELE WALLENIUS, and JYRKI WALLENIUS. "SCHOLARLY COMMUNITIES OF RESEARCH IN MULTIPLE CRITERIA DECISION MAKING: A BIBLIOMETRIC RESEARCH PROFILING STUDY." International Journal of Information Technology & Decision Making 11, no. 02 (March 2012): 401–26. http://dx.doi.org/10.1142/s0219622012400081.
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Electronic journal databases allow efficient retrieval and processing of bibliometric data, making possible enhanced literature reviews called research profiling studies. We have conducted such a research profiling study of Multiple Criteria Decision Making (MCDM) using the ISI Web of Science. The ISI database covers close to 9000 publications, mainly journals. We report statistics regarding how the MCDM field has developed based on variations of a set of rather broad search words. We have also produced detailed correlation maps based on most cited authors for different decades, showing the birth and evolution of different schools of thought. We seek to provide the "big picture" of MCDM. Our study shows that the field has experienced exponential growth. At the same time it has penetrated other neighboring domains of knowledge, such as Information and Communication Technologies and engineering.
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Soni, Prem K. "Integrated Multi-Criteria Decision-Making Methods for Selection of Supply Chain Partner for Supply Chain Management." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 15, 2021): 952–57. http://dx.doi.org/10.22214/ijraset.2021.36510.
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In today’s competitive business world, it is extremely important for decision makers to have access to decision support tools in order to make quick, right and accurate decisions. One of these decision-making areas is supplier or service provider selection. Supplier selection is a multi – criteria decision making process that deals with the optimization of conflicting objectives such as quality, services, cost, and delivery time. Although numbers of multiple criteria decisions making (MCDM) methods are available for solving MCDM problem, it’s observed that in most of these methods the ranking results are very sensitive. This work proposes a multi-criteria decision making (MCDM) based framework that is used to evaluate supplier selection by using an entropy weight method (EWM) for calculation of weightage of each criterion, once the weightage is calculated the EWM is combined with Proximity Indexed Value (PIV) Method for calculating the supplier rank. Finally, the ranking performance of PIV method is compared with other MCDM Methods for same set of alternative and criterions. A numerical example along with graphical illustrations is considered and comparison analysis is provided to test the feasibility of the proposed method. In the illustrative example a manufacturing firm is looking for select most suitable supplier for supply among the ten-supplier based on four different criteria such as Price/Cost, Service, Quality and Delivery, in which Price/Cost is non-beneficial and the attributes pertaining to other criteria are beneficial one.
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Czekajski, Marek. "CREATING A NEW CULTURAL TOURISM PRODUCT RELATED TO LOCAL POST-INDUSTRIAL HERITAGE AS A MULTIPLE CRITERIA DECISION AIDING PROBLEM." Multiple Criteria Decision Making 15 (2020): 93–118. http://dx.doi.org/10.22367/mcdm.2020.15.06.
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Creating local cultural tourism products (CTPs) requires the involvement of many entities, e.g., local government units, culture and tourism institutions, non-government organisations, etc., as well as organisational, technical, financial, and human resources. When deciding on a future product venture, it is important to establish visions, goals, or the product’s desired functions common to all these actors. Then, the alternative instances of such CTP need to be designed and examined from the viewpoint of these goals, which may be mutually exclusive due to the various preferences of the actors. Furthermore, despite their importance, these criteria may conflict with, e.g., the tourism policy of local authorities. The issues mentioned above make the decisions regarding creating CTPs very complex and have behavioural, group multiple criteria character. This paper aims to identify the structural elements of creating the best possible CTP promoting local post-industrial heritage in the Czeladź Commune. The specific assumptions, conditions, and criteria are defined to formulate the problem for further consideration using multiple criteria group decision-making (GDM) approaches. Keywords: multiple criteria decision making, group decision-making, multiple criteria problems in cultural tourism, decisions on new cultural tourism products.
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Wen, Zhi, Huchang Liao, Edmundas Kazimieras Zavadskas, and Jurgita Antuchevičienė. "APPLICATIONS OF FUZZY MULTIPLE CRITERIA DECISION MAKING METHODS IN CIVIL ENGINEERING: A STATE-OF-THE-ART SURVEY." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 27, no. 6 (July 15, 2021): 358–71. http://dx.doi.org/10.3846/jcem.2021.15252.
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A variety of fuzzy multiple criteria decision making (MCDM) models have been proposed to solve complicated decision-making problems. Many applications have been achieved, especially in the field of civil engineering. To analyze the developments about the fuzzy MCDM methods and their applications in civil engineering in recent years and further explore the future research directions, this study conducts a state of the art survey in which 52 journal papers focusing on the applications of fuzzy MCDM models in civil engineering from 2016 to 2020 are reviewed. We respectively classify these articles according to research problems and research methods. Through the literature review, we get findings in terms of the most concerned decision-making problem, the most widely-used evaluation criterion and the most popular fuzzy MCDM model. Furthermore, we present four aspects of research challenges and corresponding future research directions in the field of civil engineering, which may be helpful for researchers and practitioners to further investigate.
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CHOI, AHYOUNG, and WOONTACK WOO. "MULTIPLE-CRITERIA DECISION-MAKING BASED ON PROBABILISTIC ESTIMATION WITH CONTEXTUAL INFORMATION FOR PHYSIOLOGICAL SIGNAL MONITORING." International Journal of Information Technology & Decision Making 10, no. 01 (January 2011): 109–20. http://dx.doi.org/10.1142/s0219622011004245.
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We propose a multiple-criteria decision-making (MCDM) method based on Maximum A Posteriori (MAP) estimation to analyze users' physiological status either normal or abnormal. The decision-making problem is formulated using MAP estimation and is turned out to be MCDM problem given the assumption that all probability density functions (pdfs) follow exponential forms, especially Gaussian. It indicates that this MCDM equation is decomposed into direct sum of group's physiological status distribution. Group distribution is estimated by probabilistic approach using population from the same age or same sex. For verification, we applied the proposed method to public heart rate database. According to experimental results, the proposed method considering group context reduced overall classification errors by 20.42% compared to typical decision-making (TDM) method. This method is applicable to various personalized health monitoring applications, which estimates user's physiological status by referring other group distribution without prior knowledge about previous health records.
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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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Shyur, Huan-jyh, Liang Yin, Hsu-shih Shih, and Chi-bin Cheng. "A Multiple Criteria Decision Making Method Based on Relative Value Distances." Foundations of Computing and Decision Sciences 40, no. 4 (December 1, 2015): 299–315. http://dx.doi.org/10.1515/fcds-2015-0017.
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Abstract This paper proposes a new multiple criteria decision-making method called ERVD (election based on relative value distances). The s-shape value function is adopted to replace the expected utility function to describe the risk-averse and risk-seeking behavior of decision makers. Comparisons and experiments contrasting with the TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution) method are carried out to verify the feasibility of using the proposed method to represent the decision makers’ preference in the decision making process. Our experimental results show that the proposed approach is an appropriate and effective MCDM method.
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Eitutis, Rokas. "MULTIPLE CRITERIA DECISION MAKING ANALYSIS OF THE PORT OF ŠVENTOJI DEVELOPMENT." Mokslas - Lietuvos ateitis 14 (January 13, 2022): 1–7. http://dx.doi.org/10.3846/mla.2022.15486.
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Port of Šventoji is a maritime facility in the settlement of Šventoji, located within the country Lithuania, near the seaside resort town of Palanga. In this paper five Port of Šventoji development alternatives are overviewed using a multi-criteria decisionmaking (MCDM) method. The results will be compared with the ones found in “Port of Šventoji reconstruction feasibility study” (liet. Šventosios jūrų uosto atstatymo galimybių studija). Criteria weights of the analysed alternatives are determined using the entropy method. Alternative analysis is carried out using the TOPSIS multicriteria method.
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Lamas, Maria Isabel, Laura Castro-Santos, and Carlos G. Rodriguez. "Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making Approach." Journal of Marine Science and Engineering 8, no. 11 (November 20, 2020): 946. http://dx.doi.org/10.3390/jmse8110946.
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In this work, a numerical model was developed to analyze the performance and emissions of a marine diesel engine, the Wärtsilä 6L 46. This model was validated using experimental measurements and was employed to analyze several pre-injection parameters such as pre-injection rate, duration, and starting instant. The modification of these parameters may lead to opposite effects on consumption and/or emissions of nitrogen oxides (NOx), carbon monoxide (CO), and hydrocarbons (HC). According to this, the main goal of the present work is to employ a multiple-criteria decision-making (MCDM) approach to characterize the most appropriate injection pattern. Since determining the criteria weights significantly influences the overall result of a MCDM problem, a subjective weighting method was compared with four objective weighting methods: entropy, CRITIC (CRiteria Importance Through Intercriteria Correlation), variance, and standard deviation. The results showed the importance of subjectivism over objectivism in MCDM analyses. The CRITIC, variance, and standard deviation methods assigned more importance to NOx emissions and provided similar results. Nevertheless, the entropy method assigned more importance to consumption and provided a different injection pattern.
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Witt, Tobias, and Matthias Klumpp. "Multi-Period Multi-Criteria Decision Making under Uncertainty: A Renewable Energy Transition Case from Germany." Sustainability 13, no. 11 (June 2, 2021): 6300. http://dx.doi.org/10.3390/su13116300.
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Methods of multi-criteria decision making (MCDM) from operations research have been applied to provide information for making long-term decisions in the energy sector, and energy policy. For example, in sustainability evaluations, multiple conflicting criteria can be considered. While most MCDM approaches have been applied to evaluate energy systems in a single period, the multi-criteria evaluation of energy system evolution over time has received less attention. To evaluate such transition paths, multi-period MCDM approaches can be used. Because of long-term planning horizons, deep uncertainties need to be considered. Based on prior multi-period MCDM approaches, this paper provides an extension of the outranking approach preference ranking and organization method for enrichment evaluations (PROMETHEE) for multi-period evaluations in deep uncertainty settings. In order to adequately address the consideration of uncertainties and to obtain an additional level of information, a multi-period PROMETHEE approach and scenario planning are combined. In an illustrative example, this method is applied to a case study from the German energy sector regarding a renewable energy transition. This highlights the potential interactions of a multi-period perspective and the consideration of external scenarios in the decision-making process.
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Remad, Fedia Daami, and Hela Moalla Frikha. "The multicriteria group decision making FlowSort method under uncertainty." Multiple Criteria Decision Making 16 (2021): 122–39. http://dx.doi.org/10.22367/mcdm.2021.16.07.
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Crisp values are insufficient to model real-life situations and imprecise ideas are frequently represented in multicriteria decision aid analysis. In fact, it is difficult to treat the evaluation criteria precisely and to fix exact preferences rating. The triangular intuitionistic fuzzy numbers succeeded to treat this kind of ambiguity in a great deal of research than other forms of fuzzy representation functions. The field of sorting issues is an active research topic in the multiple criteria decision aid (MCDA). This study extended one of the sorting methods, FLOWSORT, for solving multiple criteria group decision-making problems. This extension described the preferences rating of alternatives as linguistic terms which can be easily expressed in triangular intuitionistic fuzzy numbers. To validate our extension, an illustrative example as well as an empirical comparison with other multi-criteria decision making methods is presented. Keywords: multicriteria group decision making, sorting problematic, intuitionistic fuzzy set, FlowSort method
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Gegovska, Tina, Rasit Koker, and Tarik Cakar. "Green Supplier Selection Using Fuzzy Multiple-Criteria Decision-Making Methods and Artificial Neural Networks." Computational Intelligence and Neuroscience 2020 (September 30, 2020): 1–26. http://dx.doi.org/10.1155/2020/8811834.
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In recent years, environmental awareness has increased considerably, and in order to decrease endangerments such as air and water pollution, and also global warming, green procurement should be employed. Therefore, in the assessment of suppliers, their environmental performance should be taken into consideration along with other criteria for supplier selection. Raising awareness of sustainability in production and conservation and protection of the environment is very important both for the whole environment and for the company itself by increasing its competitive advantage. And, one of the steps to achieve this is for the companies to try to select green suppliers. So, the purpose of this study is to raise awareness and tackle the need for green supplier selection and, using multiple-criteria decision-making models, to elaborate a case study regarding this. A survey was conducted in a manufacturing firm. The data were analysed, and fuzzy MCDM (multicriteria decision-making) methods and artificial neural networks were implemented. Fuzzy methods are the fuzzy analytic hierarchy process (fuzzy AHP), fuzzy TOPSIS, and fuzzy ELECTRE. ANN supports the result of fuzzy MCDM models from the profit side. ANN can make the best estimate of the current year based on historical data. Fuzzy MCDM methods will also find good solutions using the available data but will produce different solutions as there are different decision-making methods. It is aimed to produce a synergy from the solutions obtained here and to produce a better solution. Instead of a single method, it would be more accurate to produce a better solution than the solution provided by all of them. The dominant result has been obtained using the committee fuzzy MCDM and ANN to select the best green supplier.
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Chou, Shou-Yan, Chien-Chou Yu, and Gwo-Hshiung Tzeng. "A Novel Hybrid MCDM Procedure for Achieving Aspired Earned Value Project Performance." Mathematical Problems in Engineering 2016 (2016): 1–16. http://dx.doi.org/10.1155/2016/9721726.
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A better-performing project gains more subsequent businesses. Many organizations worldwide apply an earned value management (EVM) system to monitor and control their projects’ performance. However, a successful EVM application requires handling multiple interinfluenced criteria with feedback effects for decision-making and continuous improvements throughout the application life cycle. The conventional decision approaches assume that preferences between criteria are independent and put their focuses on decision-making. This study employs a hybrid multiple criteria decision-making (HMCDM) method to devise a novel procedure to fulfil the deficiencies. The proposed procedure enables us to evaluate interinfluence effects and gap indices among criteria/dimensions/alternatives and then systemize the evaluation results in a context of influential network relation map (INRM). The INRM provides managers with visual information to find a route in making application decisions, while identifying critical gaps for continuous improvements. A numerical example is presented to illustrate the applicability of the proposed procedure. The results show that, by employing the HMCDM method, the proposed procedure can provide organizations with a foundation to ensure that the aspired EVM application outcomes are achieved at different levels within an organization.
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Deepa, N., B. Prabadevi, and Gautam Srivastava. "Integrated Ranking Algorithm for Efficient Decision Making." International Journal of Information Technology & Decision Making 20, no. 02 (February 26, 2021): 597–618. http://dx.doi.org/10.1142/s0219622021500152.
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Decision making remains a prominent issue in all the problem domains. To make better decisions, multiple factors of the given problem need to be considered and evaluated. Multi-criteria decision-making methods have been used popularly for solving decision-making problems characterized by multiple factors. When multiple factors are considered, it is recommended to categorize the factors into the main criteria and sub-criteria. In this paper, GRAP-an integrated ranking algorithm has been developed by combining Grey Relational Analysis, Rank Sum, and Preference Ranking Organization Method Enrichment Evaluation methods (PROMETHEE) to solve decision-making problems. The weights of the sub-criteria are calculated using the Rank Sum method. Grey Relational Analysis method is used to convert the sub-criteria values into main criteria values in the form of evaluation scores of alternatives. The final ranking scores of the alternatives are obtained using the PROMETHEE method. A decision model is developed using the proposed GRAP algorithm and applied to the Job Profile selection case study. The developed decision model showed much better results compared to other MCDM approaches namely the Simple Additive Weight method, TOPSIS, VIKOR, and Complex Proportional Assessment (COPRAS). Further, a sanity check has been carried out by comparing the results of the decision model with experts’ opinions.
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AFRIADI, BAMBANG. "MULTIPLE CRITERIA DECISION MAKING (MCDM) FOR QUALITY EDUCATION MANAGEMENT IN HIGHER EDUCATION: SYSTEMATIC REVIEW." International Journal of Business, Law, and Education 3, no. 3 (July 1, 2022): 173–80. http://dx.doi.org/10.56442/ijble.v3i3.66.
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Systematically this article discusses and reviews the results of previous research on the development of quality education management character. The Multiple Criteria Decision Making (MCDM) determination methodology is widely applied in various domains to search for ratings that support the standard character of things to the contrary and determine the most effective alternative. Multi-criterion decision making (MCDM) is a modeling tool and methodology for dealing with complex engineering problems. About this article is how the matching method is carried out by matching and comparing land characteristics with criteria so that one conclusion is obtained and systematic reviews collect secondary data, conduct research studies challenge ideal educational management. In this context, the quality of higher education must be improved and optimized.