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Journal articles on the topic 'Multi Criteria Decision Making'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

S.PUSHPARANI, S. PUSHPARANI, and Dr S. SENTHAMILKUMAR Dr.S.SENTHAMILKUMAR. "Selection of Contractor Using Multi-Criteria Decision Making Tools." Indian Journal of Applied Research 4, no. 4 (2011): 139–42. http://dx.doi.org/10.15373/2249555x/apr2014/259.

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2

Kusumadewi, Sri, and Idham Guswaludin. "Fuzzy Multi-Criteria Decision Making." Media Informatika 3, no. 1 (2005): 25–38. http://dx.doi.org/10.20885/informatika.vol3.iss1.art3.

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3

Grierson, Donald E. "Pareto multi-criteria decision making." Advanced Engineering Informatics 22, no. 3 (2008): 371–84. http://dx.doi.org/10.1016/j.aei.2008.03.001.

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4

Kornbluth, J. S. H. "Dynamic multi-criteria decision making." Journal of Multi-Criteria Decision Analysis 1, no. 2 (1992): 81–92. http://dx.doi.org/10.1002/mcda.4020010204.

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5

Abdulla, Mohammed Shahid. "Multi-criteria decision making with overlapping criteria." IIMB Management Review 24, no. 3 (2012): 137–42. http://dx.doi.org/10.1016/j.iimb.2012.06.002.

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6

Abdulla, Mohammed Shahid. "Multi-criteria decision making with overlapping criteria." IIMB Management Review 24, no. 3 (2012): 120. http://dx.doi.org/10.1016/j.iimb.2012.07.013.

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7

Azadfallah, Mohammad. "Multi-Criteria Decision Making for Ranking Decision Making Units." International Journal of Productivity Management and Assessment Technologies 6, no. 1 (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

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8

Jaini, Nor I., and Sergei V. Utyuzhnikov. "Critical Criterion Analysis for Multi-criteria Decision Making." International Journal of Applied Physics and Mathematics 6, no. 3 (2016): 129–37. http://dx.doi.org/10.17706/ijapm.2016.6.3.129-137.

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9

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 (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 influen

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10

Intani, Dini. "Multi Criteria Decision Making for Integrated Assessment of Indonesian Water Company." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 1050–60. http://dx.doi.org/10.5373/jardcs/v12sp7/20202202.

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11

Badarovska Mishevska, Marina. "MULTI CRITERIA DECISION MAKING – RANKING AND PROMOTING EMPLOYEES." KNOWLEDGE INTERNATIONAL JOURNAL 31, no. 5 (2019): 1235–41. http://dx.doi.org/10.35120/kij31051235b.

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The analytic hierarchy process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. The method was developed by Thomas L. Saaty in the 1970s and has been extensively studied and refined since then. It has particular application in group decision making and is used around the world in a wide variety of decision situation. Rather than prescribing a "correct" decision, the AHP helps decision makers choose one that best suits their goal and their understanding of the problem. The technique provides a comprehensive and rational framewo

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12

Mary, S. A. Sahaaya Arul, and G. Suganya. "Multi-Criteria Decision Making Using ELECTRE." Circuits and Systems 07, no. 06 (2016): 1008–20. http://dx.doi.org/10.4236/cs.2016.76085.

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13

Brugha, C. M. "Structure of multi-criteria decision-making." Journal of the Operational Research Society 55, no. 11 (2004): 1156–68. http://dx.doi.org/10.1057/palgrave.jors.2601777.

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14

Yager, Ronald R. "Categorization in multi-criteria decision making." Information Sciences 460-461 (September 2018): 416–23. http://dx.doi.org/10.1016/j.ins.2017.08.011.

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15

Dalalah, Doraid, Mohammad Al-Tahat, and Khaled Bataineh. "Mutually Dependent Multi-criteria Decision Making." Fuzzy Information and Engineering 4, no. 2 (2012): 195–216. http://dx.doi.org/10.1007/s12543-012-0111-3.

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16

Šaša Bastinos, Ana, and Marjan Krisper. "Multi-criteria decision making in ontologies." Information Sciences 222 (February 2013): 593–610. http://dx.doi.org/10.1016/j.ins.2012.07.055.

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17

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

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Multi-criteria decisions usually require measurement or evaluation of performance in different units and their mix by application of weighting factors. This approach lads to potential manipulation of the results as a direct consequence of the applied weightings. In this paper a mechanism that is the brain child of the authors, has been proposed to overcome this problem. It is known as the Interlink Decision Making Index (IDMI) and has all the desired features: simple, interlink (all criteria) and automatically guaranteed dominant influence of critical criteria (i.e. no human weighting needed).

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18

Yager, Ronald R. "Non-numeric multi-criteria multi-person decision making." Group Decision and Negotiation 2, no. 1 (1993): 81–93. http://dx.doi.org/10.1007/bf01384404.

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19

Chechnev, V. B. "Analysis and classification of multi-criteria decision-making methods." Ontology of designing 14, no. 4 (2024): 607–24. http://dx.doi.org/10.18287/2223-9537-2024-14-4-607-624.

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Decision-making requires in-depth analysis through the evaluation and comparison of various alternative solutions. These tasks are characterized by multiple criteria used for comparison. The variability of parameters and conditions in decision-making has led to the development of numerous methods aimed at facilitating this process effectively. Currently, several hundred multi-criteria decision-making methods are known, making it challenging to select the most appropriate one for practical use. Therefore, research on the analysis, classification, and systematization of multi-criteria decision-m

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20

Juneja, Abhinav. "Improvising Green Computing Using Multi-Criterion Decision Making." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (2020): 1161–65. http://dx.doi.org/10.5373/jardcs/v12sp3/20201362.

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21

Jayady, Arman, Tonny Hidayat, Erni Qomariyah, et al. "Decision Support System with Multi Criteria Decision Making Technique." Journal of Physics: Conference Series 1933, no. 1 (2021): 012017. http://dx.doi.org/10.1088/1742-6596/1933/1/012017.

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22

Suchkova, E. A. "Multi-Criteria Optimization for Decision-Making Support." Bulletin of Kalashnikov ISTU 19, no. 3 (2016): 61. http://dx.doi.org/10.22213/2413-1172-2016-3-61-62.

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23

Chen, Chun-An. "Construct a Multi Criteria Decision Making Tool." International Journal of Decision Support System Technology 7, no. 4 (2015): 36–50. http://dx.doi.org/10.4018/ijdsst.2015100103.

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When dealing with multi-criteria decision-making problems in both engineering and management research fields, DEMATEL is one of the common methods applied by the researchers. However, so far there is no any easy-to-use DEMATEL application software. Moreover, for DEMATEL, the threshold value setup may vary in different researchers. Later MMDE method was developed, which could obtain clear threshold value. However, its concept and complicated computing process hinder the common researchers to use it quickly. Without any related application software either, it is quite inconvenient to the researc

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24

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 (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

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25

Gyarmati, József. "Military Application of Multi-Criteria Decision Making." Academic and Applied Research in Military and Public Management Science 14, no. 4 (2015): 291–97. http://dx.doi.org/10.32565/aarms.2015.4.3.

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Which is the most appropriate military device for the army based on user interest? This is a frequently asked question. In this paper I will show two methods that can help to select the best one based on the Decision Maker or the user interest and point of view.

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26

Ozcalici, Mehmet. "Allocation with multi criteria decision making techniques." Decision Making: Applications in Management and Engineering 5, no. 2 (2022): 78–119. http://dx.doi.org/10.31181/dmame0305102022o.

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27

Mohammadpour, M., S. Zolfaghari, and M. Jabal Ameli. "Hierarchical alternatives in Multi Criteria Decision Making." International Journal of Management and Decision Making 9, no. 4 (2008): 366. http://dx.doi.org/10.1504/ijmdm.2008.019361.

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28

Asadabadi, Mehdi Rajabi. "The stratified multi-criteria decision-making method." Knowledge-Based Systems 162 (December 2018): 115–23. http://dx.doi.org/10.1016/j.knosys.2018.07.002.

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29

Triantaphyllou, Evangelos, and Gerald W. Evans. "Multi-criteria decision making in industrial engineering." Computers & Industrial Engineering 37, no. 3 (1999): 505–6. http://dx.doi.org/10.1016/s0360-8352(00)00018-8.

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30

Reuter-Oppermann, Melanie, Sebastian Rachuba, and Andrea Raith. "Multi-criteria decision making in health care." Operations Research for Health Care 23 (December 2019): 100234. http://dx.doi.org/10.1016/j.orhc.2019.100234.

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31

Rezaei, Jafar. "Best-worst multi-criteria decision-making method." Omega 53 (June 2015): 49–57. http://dx.doi.org/10.1016/j.omega.2014.11.009.

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32

Yager, Ronald R., and Naif Alajlan. "Fuzzy Measures in Multi-Criteria Decision Making." Procedia Computer Science 62 (2015): 107–15. http://dx.doi.org/10.1016/j.procs.2015.08.421.

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33

Ogryczak, Włodzimierz, and Rudolf Vetschera. "Methodological foundations of multi-criteria decision making." European Journal of Operational Research 158, no. 2 (2004): 267–70. http://dx.doi.org/10.1016/j.ejor.2003.06.003.

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34

Sridhar, Prasanna, Asad Madni, and Mo Jamshidi. "Multi-Criteria Decision Making in Sensor Networks." IEEE Instrumentation & Measurement Magazine 11, no. 1 (2008): 24–29. http://dx.doi.org/10.1109/im-m.2008.4449011.

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35

Kostner, Daniel. "Multi-criteria decision making via multivariate quantiles." Mathematical Methods of Operations Research 91, no. 1 (2019): 73–88. http://dx.doi.org/10.1007/s00186-019-00675-9.

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36

Greenstein, Gil. "Paradox of Multi Criteria Decision Making Processes." Universal Journal of Management 5, no. 8 (2017): 395–403. http://dx.doi.org/10.13189/ujm.2017.050804.

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37

Kharal, Athar. "A Neutrosophic Multi-Criteria Decision Making Method." New Mathematics and Natural Computation 10, no. 02 (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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38

Agrell, Per J. "On redundancy in multi criteria decision making." European Journal of Operational Research 98, no. 3 (1997): 571–86. http://dx.doi.org/10.1016/0377-2217(95)00340-1.

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39

Ray, Pradip K., and S. Sahu. "Productivity measurement through multi-criteria decision making." Engineering Costs and Production Economics 20, no. 2 (1990): 151–63. http://dx.doi.org/10.1016/0167-188x(90)90099-4.

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40

Vasconcelos, Ana G. G., Renan M. V. Rodrigues Almeida, and Flávio F. Nobre. "Path Analysis and Multi-Criteria Decision Making." Annals of Epidemiology 11, no. 6 (2001): 377–84. http://dx.doi.org/10.1016/s1047-2797(01)00232-0.

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41

Li, Daniel, Mohamed Galal Hassan-Sayed, Nuno Bimbo, Clara Bartram, and Ihab M. T. Shigidi. "Multi-Criteria Decision Making: Sustainable Water Desalination." Water 17, no. 12 (2025): 1729. https://doi.org/10.3390/w17121729.

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With an increasingly more urbanised global population, surface water and groundwater resources are being/have become outpaced by growing demand. The oceans could address this pertinent scarcity issue, once their high-salinity content is removed. Water desalination could thus be a crucial pathway towards addressing global water scarcity. However, conventional desalination is known to be highly energy-intensive, with limited scalability and potentially significant negative environmental impacts. Multi-criteria Decision Making (MCDM) presents a novel approach towards sustainable water desalinatio

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42

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 (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 und

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43

Dos Santos, Francisco J., and André L. V. Coelho. "A multi-view approach to multi-criteria decision making." International Journal of Information and Decision Sciences 15, no. 1 (2023): 1. http://dx.doi.org/10.1504/ijids.2023.10054770.

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44

d, Francisco J., os Santos, and André L. V. Coelho. "A multi-view approach to multi-criteria decision making." International Journal of Information and Decision Sciences 15, no. 1 (2023): 1. http://dx.doi.org/10.1504/ijids.2023.129655.

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45

HRYNCHAK, N. "Conceptual aspects of multi-criteria decision-making in management activity." Scientific Bulletin of the National Academy of Statistics, Accounting and Audit, no. 1-2 (March 31, 2023): 68–76. http://dx.doi.org/10.31767/nasoa.1-2-2023.07.

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The activities of enterprises in conditions of instability of the external environment, high rates of technical progress and processes of globalization create many complex problems for them, the solution of which requires the adoption of balanced and effective management decisions. Decision-making is one of the most important elements of managing the development of an enterprise, both in the short-term and in the long-term. In this regard, there is an intensive development of various tools and methods of the management decision-making process. The conceptual aspects of multi-criteria decision-

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46

Mukhanbetkaliyev, D., and V. Serbin. "MULTI-CRITERIA DECISION-MAKING MODEL FOR SELECTING SUPPLIERS' OFFERS." Deutsche internationale Zeitschrift für zeitgenössische Wissenschaft 75 (March 6, 2024): 57–59. https://doi.org/10.5281/zenodo.10788713.

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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 scientific article presented a multi-criteria decision-making model for selecting supplier proposals. The developed model is based on the analysis of several criteria that may influence the choice of supplier. The criteria were classified based on their impact on the org

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47

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 ent

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48

I, Ketut Santra, Wayan Sukarta I, and Ni Wayan Sumetri. "Multi Criteria-based Decision Making of Affiliative Orchestration Capability of Balinese Tourism Management." Webology 19, no. 1 (2022): 5444–54. http://dx.doi.org/10.14704/web/v19i1/web19365.

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The study analyzes what tasks are carried out and how the tourism village manager harmonizes the differences in interests between stakeholders in the tourist village. This research was conducted by examining the practice of governance competencies carried out by tourism village managers in Bali by conceptualizing Affiliative Orchestration Capability (AOC). By using multiple criteria of stakeholders as the basis for decision making, this study formulates a set of competency models for tourism village managers. The results underline the importance of affiliative orchestration ability as a set of

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49

El Hachami, Khadija, Youssef Lamrani Alaoui, and Mohamed Tkiouat. "Sectorial evaluation of Islamic banking contracts: a fuzzy multi-criteria-decision-making approach." Investment Management and Financial Innovations 16, no. 2 (2019): 370–82. http://dx.doi.org/10.21511/imfi.16(2).2019.31.

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Improving the efficiency and performance of microfinance investments is essential to achieve its objectives in terms of economic and social development. One parameter that influences such a performance is the kind of the activity exercised by the micro-entrepreneurs. The aim of this paper is to provide a decision-making guide to help both microfinance institutions and investors to choose the appropriate Islamic banking contract with respect to each sector of activity. To attain this goal, an Intuitionistic Fuzzy TOPSIS evaluation is conducted in collaboration with Moroccan Islamic finance expe

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50

Unal, Okan, and Erfan Maleki. "Shot peening optimization with complex decision-making tool: Multi criteria decision-making." Measurement 125 (September 2018): 133–41. http://dx.doi.org/10.1016/j.measurement.2018.04.077.

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