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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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Kharal, Athar. "A Neutrosophic Multi-Criteria Decision Making Method." New Mathematics and Natural Computation 10, no. 02 (June 3, 2014): 143–62. http://dx.doi.org/10.1142/s1793005714500070.
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This work presents a method of multi-criteria decision making (MCDM) using neutrosophic sets. Besides studying some interesting mathematical properties of the method, algorithm viz neut-MCDM is presented. The work also furnishes the fundamentals of neutrosophic set theory succinctly, to provide a first introduction of neutrosophic sets for the MCDM community. To illustrate the computational details, neut-MCDM has been applied to the problem of university faculty selection against a given set of criteria.
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Broniewicz, Elzbieta, and Karolina Ogrodnik. "A Comparative Evaluation of Multi-Criteria Analysis Methods for Sustainable Transport." Energies 14, no. 16 (August 19, 2021): 5100. http://dx.doi.org/10.3390/en14165100.
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The article pertains to the utilization of the application potential of MCDM/MCDA (Multi-Criteria Decision Making/Multi-Criteria Decision Analysis) methods in decision-making problems in the field of transport in light of sustainable development. The article consists of a theoretical and an empirical part. As part of the literature studies, a review was carried out on the latest applications of MCDM/MCDA methods for decision-making problems in the field of transport. In the empirical part, a multi-criteria analysis of the placement selection for a strip of expressway located in north-eastern Poland was carried out. For this purpose, a hybrid approach was used, consisting of three selected MCDM/MCDA methods: DEMATEL, REMBRANDT, and VIKOR. The ranking was compared with the results achieved in the EIA report of the investment and the results were obtained by using a different set of MCDM/MCDA methods that were proposed in the first part of the research, i.e., AHP, Fuzzy AHP, TOPSIS, and PROMETHEE. The performed multi-criteria analyses allowed for an eventual multi-dimensional evaluation of the most popular MCDM/MCDA methods currently applied in the field of transport.
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Azhar, Nayli Adriana, Nurul Asyikin Mohamed Radzi, and Wan Siti Halimatul Munirah Wan Ahmad. "Multi-criteria Decision Making: A Systematic Review." (Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 14, no. 8 (December 23, 2021): 779–801. http://dx.doi.org/10.2174/2352096514666211029112443.
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Multi Criteria Decision Making (MCDM) helps decision makers (DMs) solve highly complex problems. Accordingly, MCDM has been widely used by DMs from various fields as an effective and reliable tool for solving various problems, such as in site and supplier selection, ranking and assessment. This work presents an in-depth survey of past and recent MCDM techniques cited in the literature. These techniques are mainly categorised into pairwise comparison, outranking and distance-based approaches. Some well-known MCDM methods include the Analytical Hierarchy Process (AHP), Analytical Network Process (ANP), Elimination et Choix Traduisant la Realité (ELECTRE), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Each of these methods is unique and has been used in a vast field of interest to support DMs in solving complex problems. For a complete survey, discussions related to previous issues and challenges and the current implementation of MCDM are also presented.
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Osintsev, Nikita Anatolyevich. "Multi-criteria decision-making in transport and logistics." Transport of the Urals, no. 4 (2021): 3–17. http://dx.doi.org/10.20291/1815-9400-2021-4-3-17.
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In the last decade, in transport and logistics, the scientific and practical direction for the development and improvement of methods for multi-criteria decision-making (MCDM) has been actively developing. The paper provides an overview of research in the field of using MCDM, shows the features and different approaches to the classification of MCDM, the practice of their use in transport and in logistics activities, an approach to systematizing the methods is proposed. An MCDM model and a calculated example of ranking management decisions to improve transport and logistics activities at an enterprise using 11 MCDM methods are presented. The FUCOM method is used to determine the weight of the criteria. The ranking of management decisions is performed by comparing 10 methods: SAW, TOPSIS, PROMETHEE, COPRAS, MOORA, WASPAS, MAIRCA, EDAS, MABAC and MARCOS.
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Saaty, Thomas L., and Daji Ergu. "When is a Decision-Making Method Trustworthy? Criteria for Evaluating Multi-Criteria Decision-Making Methods." International Journal of Information Technology & Decision Making 14, no. 06 (November 2015): 1171–87. http://dx.doi.org/10.1142/s021962201550025x.
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Decision makers often face complicated decision problems with intangible and conflicting criteria. Numerous multi-criteria decision-making (MCDM) methods have been proposed to handle the measurement of the priorities of conflicting tangible/intangible criteria and in turn use them to choose the best alternative for a decision. However, the presence of many MCDM methods bewilders users. The existence of these methods becomes a decision problem in itself, and decision makers may be uncertain about which one to use. Thus the comparative analysis and evaluation of various MCDM methods has come under scrutiny by both researchers and practitioners in order to discover if there are logical, mathematical, social or practical reasons why one method is better than another. Criteria for their evaluation are the first important issue that needs to be resolved. In this paper, 16 criteria are introduced that may be used to judge and evaluate various MCDM methods. The criteria proposed and some guidelines for their evaluation are given to help readers evaluate these MCDM methods.
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Taherdoost, Hamed, and Mitra Madanchian. "Multi-Criteria Decision Making (MCDM) Methods and Concepts." Encyclopedia 3, no. 1 (January 9, 2023): 77–87. http://dx.doi.org/10.3390/encyclopedia3010006.
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Multi-criteria decision-making (MCDM) is one of the main decision-making problems which aims to determine the best alternative by considering more than one criterion in the selection process. MCDM has manifold tools and methods that can be applied in different fields from finance to engineering design. This entry aims to provide a survey on the MCDM concept, its applications, main categories, and different methods. The final section provides manifold information and statistics on the published works in the MCDM fields. Some of the main methods are also listed in this section.
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Osintsev, N. A. "Multi-Criteria Decision-Making Methods in Green Logistics." World of Transport and Transportation 19, no. 5 (July 9, 2022): 105–14. http://dx.doi.org/10.30932/1992-3252-2021-19-5-13.
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Due to the increased demands of the world community in accordance with the goals of the concept of sustainable development, supply chain management requires complex decisionmaking models that consider many environmental, economic, and social constraints when implementing various environmentally friendly, green methods and technologies. An effective tool in such conditions is the use of MCDM, multi-criteria decision-making methods. The objective of the research, the results of which are provided in the article, is to analyse the application of MCDM in green logistics and management of green supply chains. The work used a set of methods including system and structural-functional analysis, methods of the theory of fuzzy sets, mathematical statistics, and expert assessments. A general scheme of MCDM implementation is offered and a combined MCDM model is developed for assessing decisions on the choice of green technologies, including a system of indicators for logistics flows, a model for managing logistics flows and a system of tools for green logistics. In the MCDM model, a fuzzy analytical hierarchical process (fuzzy AHP) is used to establish the weight of indicators of logistics flows, eleven MCDM methods are used to rank green logistics tools: SAW, TOPSIS, PROMETHEE, COPRAS, ARAS, WASPAS, MAIRCA, EDAS, MABAC, CODAS, MARCOS. Comparison of the use of various MCDM methods showed a high convergence of the ranking results (Spearman’s rank correlation coefficient is of 0.949). The most consistent are SAW, MARCOS and WASPAS methods, the least consistent are CODAS methods. The results of the design example showed that the most preferable solution is the «use of intermodal technologies and multimodal transportation» (ranked first within all eleven methods), the least preferable solution is the «use of environmentally friendly fuels and lubricants (fuels)» (ranked 12th within 10 methods of 11).
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Anysz, Hubert, Aleksander Nicał, Željko Stević, Michał Grzegorzewski, and Karol Sikora. "Pareto Optimal Decisions in Multi-Criteria Decision Making Explained with Construction Cost Cases." Symmetry 13, no. 1 (December 30, 2020): 46. http://dx.doi.org/10.3390/sym13010046.
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In multi-criteria decision-making (MCDM) problems the decision-maker is often forced to accept a not ideal solution. If the ideal choice exists, it would be certainly chosen. The acceptance of a non- ideal solution leads to some inadequate properties in the chosen solution. MCDM methods help the decision-maker to structure his needs considering different units, in which the properties of the solutions are expressed. Secondly, with MCDM tools the assessment of the available solutions can be calculated with consideration of the decision-maker’s needs. The incorporation of the cost criterion into the decision maker’s preferences calculation, and the solution assessment calculation, deprives the decision-maker of the ability to calculate the financial result of the decision he must make. A new multi-criteria decision making with cost criterion analysed at the final stage (MCDM-CCAF) method is developed based on principle of Pareto optimal decisions. It is proposed to exclude the cost criterion from the MCDM analysis and consider it at the final phase of the decision-making process. It is illustrated by example solutions with consideration of cost criterion and without it. It is proposed to apply the invented post-processing method to all MCDM analyses where the cost criterion of analysed variants is considered.
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Fattoruso, Gerarda. "Multi-Criteria Decision Making in Production Fields: A Structured Content Analysis and Implications for Practice." Journal of Risk and Financial Management 15, no. 10 (September 27, 2022): 431. http://dx.doi.org/10.3390/jrfm15100431.
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As the complexity of decision-making problems and the competitiveness in which companies find themselves carrying out their activities increase, the need to use tools that can help Decision-Makers (DM) make more informed and more effective choices increases. Multi-Criteria Decision Making (MCDM) represents a valid decision support tool capable of simplifying the process of choosing, ranking or sorting the alternatives that characterize the problem. This work aims to investigate with a structured content analysis if MCDMs are used in an extremely complex and competitive sector such as the automotive sector. The work also aims to describe and explore in the existing literature the role that entrepreneurs (our decision-makers) play in the construction of MCDM methods. The results show that MCDMs are widely used in different application areas in the domain of interest and that the decision maker is involved in several phases of construction of the MCDM methods.
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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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Massam, Bryan H. "Multi-Criteria Decision Making (MCDM) techniques in planning." Progress in Planning 30 (January 1988): 1–84. http://dx.doi.org/10.1016/0305-9006(88)90012-8.
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Zakeri, Shervin. "Ranking based on optimal points multi-criteria decision-making method." Grey Systems: Theory and Application 9, no. 1 (February 4, 2019): 45–69. http://dx.doi.org/10.1108/gs-09-2018-0040.
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Purpose The purpose of this paper is to propose a new MCDM method called ranking based on optimal points (RBOP). Design/methodology/approach By employing two abstract groups of alternatives as the optimum alternatives and an optimal alternative, in order to offer the most desirable alternative, RBOP imitates human behavior in the decision-making process. RBOP policy is to find the best alternative through measuring alternatives distances from optimum alternatives and optimal alternative, thus, the best alternative must be sitting on the closest distance to its optimum points and the closest distance to the optimal points simultaneously. Findings In this paper, the author introduced a ten-step gray form of RBOP which is applied in a case of buying running shoes and results compared to the existing MCDM methods. Results showed the considerable differences. Originality/value Generally, in order to select the best alternative(s), and to aid decision makers (DMs) to make better decisions for the real-world problems, MCDM methods evaluate a number of alternatives via a number of criteria through the proposed mathematical algorithms. Frequently, for the direct impact of the DMs on the decision-making process, MCDM methods have inflexible algorithms. They only allow DMs to make an impact on the criteria analysis. The inflexibility emerges as a problem when perfect information is available for DMs and MCDM final results are not desirable. The process of the new method completely depends on DMs’ decisions, their interpretation of the periphery and their personal impressions. Hence, the output of RBOP is not necessarily the best alternative, but it offers the most desirable alternative to DM.
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Zavadskas, Edmundas Kazimieras, Jurgita Antuchevičienė, and Oleg Kaplinski. "MULTI-CRITERIA DECISION MAKING IN CIVIL ENGINEERING. PART II – APPLICATIONS." Engineering Structures and Technologies 7, no. 4 (April 4, 2016): 151–67. http://dx.doi.org/10.3846/2029882x.2016.1139664.
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The first part of the paper shortly presented developments of multi-criteria decision making (MCDM) methods and general data about their use in civil engineering, i.e. distribution by years, countries, authors and journals (Zavadskas et al. 2015). The current part of the paper focuses on MCDM application areas and domains. Web of Science Category “Engineering Civil” in Thomson Reuters Web of Science Core Collection academic data base is searched for a topic of MCDM. Only articles and review document types are selected for a detailed survey. They are grouped by Research Areas as presented in Web of Science data base. The most numerous research areas as Construction Building Technology, Transportation, Water Resources and Engineering (other topics) are analysed in detail. Research domains and solved problems are described as well as applied MCDM methods are highlighted. A total of 114 articles are reviewed, showing a wide possibilities of applying MCDM methods for civil engineering problems.
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Dua, Tran Van. "Forklift selection by multi-criteria decision-making methods." Eastern-European Journal of Enterprise Technologies 5, no. 3 (125) (October 31, 2023): 95–101. http://dx.doi.org/10.15587/1729-4061.2023.285791.
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A forklift is a very important and common equipment for transporting materials in many different locations such as workshops, warehouses, supermarkets, etc. This equipment has the effects of reducing labor consumption of workers, ensuring the safety of goods and improving labor efficiency. That is why forklift selection is very important. In order to choose a forklift, it is necessary to consider many parameters such as lifting capacity, lifting height, travel speed, safety level, price, maintenance cost, level of impact on the environment, ease of use, etc. However, today there are many types of forklifts on the market, these forklifts have different specifications and prices, making it difficult for shoppers to choose a product in many available types. This study has applied multi-criteria decision-making (MCDM) methods for forklift selection. Two MCDM methods having been used are the COCOSO (Combined Compromise Solution) method and PIV (Proximity Indexed Value) method. Two different methods having also been used to calculate the weights for the criteria are the ENTROPY method and MEREC (Method based on the Removal Effects of Criteria) method. The selection of the best type of forklift applies to the six available types. Six criteria having been used to describe each alternative are lifting height, maximum lifting height, minimum lifting height, fork length, fork width, and price. Each MCDM method will be used in combination with two weight methods. Thus, the ranking results of forklifts are shown in four different series of numbers. An amazing result has occurred that the best and worst forklifts have been consistently determined to be the same in all cases examined. This is the outstanding advantage of the COCOSO and PIV methods compared to other MCDM methods.
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Mellouli, Hala, Anwar Meddaoui, and Abdelhamid Zaki. "Enhancing industrial decision-making through Multi-Criteria Decision-Making approaches and ML-Integrated Frameworks." Data and Metadata 3 (August 16, 2024): 391. http://dx.doi.org/10.56294/dm2024391.
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Decision-making in current industrial contexts has shifted from intuition to a data-driven approach, requiring prompt processing of huge datasets. However, conventional Multi-Criteria Decision Making (MCDM) methodologies fall short of navigating the intricacy of large datasets. This paper introduces an innovative decision-support system integrating multi-criteria methods with machine learning techniques such as artificial neural networks. The proposed six-step framework aims to optimize operational decisions by analyzing real-time performance data. The research contributes to the advancement of decision-making methodologies in the industrial field, offering dynamic responsiveness and improved recommendations compared to traditional MCDM methods. While results are promising, future work should focus on robustness testing particularly in terms of its dependence on real-time data, to ensure sustained efficacy and mitigate potential biases in recommendations over time.
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Ennaceur, Amel, Zied Elouedi, and Eric Lefèvre. "Multi-Criteria Decision Making Method with Belief Preference Relations." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 22, no. 04 (August 2014): 573–90. http://dx.doi.org/10.1142/s0218488514500287.
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In modeling Multi-Criteria Decision Making (MCDM) problem, we usually assume that the decision maker is able to elicitate his preferences with precision and without difficulty. However, in many situations, the expert is unable to provide his assessment with certainty or he is unwilling to quantify his preferences. To deal with such situations, a new MCDM model under uncertainty is introduced. In fact, we focus here on the problem of modeling expert opinions despite the presence of incompleteness and uncertainty in their preference assessments. Besides, our proposed solution suggests to model these preferences qualitatively rather than exact numbers. Therefore, we propose to incorporate belief preference relations into a MCDM method. The expert assessments are then formulated as a belief function problem since this theory is considered as a useful tool to model expert judgments.
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YÜKSEL, Fatma Şeyma, Ayşe Nilgün KAYADELEN, and Figen ANTMEN. "A systematic literature review on multi-criteria decision making in higher education." International Journal of Assessment Tools in Education 10, no. 1 (March 15, 2023): 12–28. http://dx.doi.org/10.21449/ijate.1104005.
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The three components that form the basis of the educational process are the teacher, the learner, and the environment. These three components are affected by the developing and changing technology as a result of globalization considerably. Teaching and learning techniques should be updated and connected with these developments; new tools are therefore needed to make the necessary updates. Determination and application of the new tools include many decisions. Decision-makers can make more effective decisions using Multi-Criteria Decision-Making Techniques (MCDM), a complex decision-making tool that includes both quantitative and qualitative factors at present time. This study aimed to determine which MCDM methods are used in studies conducted in higher education, which is one of the most important development level indicators of countries, and to present a systematic literature review of MCDM method applications. The study was conducted in three stages: first, known electronics were searched until the end of 2021 using keywords; then, all studies were listed in a systematic taxonomy, and in the last stage, Thematic Network Analysis was used to evaluate the development of MCDM studies in the higher education area. It is determined that the Analytical Hierarchy Process (AHP) method is the most widely used method in higher education in MCDM applications. It was observed that the most common use of MCDM applications in higher education is e-learning as well. This study aims to be a guide for all researchers and practitioners who will study in both higher education and the MCDM areas.
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Amaro, Sandra Lourenço, Sofia Barbosa, Gloria Ammerer, Aina Bruno, Jordi Guimerà, Ioannis Orfanoudakis, Anna Ostręga, Evangelia Mylona, Jessica Strydom, and Michael Hitch. "Multi-Criteria Decision Analysis for Evaluating Transitional and Post-Mining Options—An Innovative Perspective from the EIT ReviRIS Project." Sustainability 14, no. 4 (February 17, 2022): 2292. http://dx.doi.org/10.3390/su14042292.
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In mine design and planning, identifying appropriate Post-Mining Land Use (PMLU) is necessary and crucial to achieving environmental quality and socioeconomic renewal. In this context, Multi-Criteria Decision Making (MCDM) methods are used to support decision-maker and stakeholder decisions. However, most studies regarding the application of MCDM methods to PMLU decisions do not favor their widespread use because they start from an already structured decisional problem. The structure they present may not apply to another PMLU decision. Therefore, the primary goal of this study is to present an innovative methodology and its corresponding framework to help decision-makers and stakeholders structure their PMLU decisions. This innovative methodology can be used from an early stage, with a low level of detail, until a later stage, with a high level of detail, and is composed of three main stages. The first stage is selecting the Transitional Post-Mining Landscape Profile, which guides the user to different Multi-Criteria Decision Analysis (MCDA) goals. The second stage is developing criteria and alternatives according to the MCDA goal, using topics representing essential dimensions that cannot be disregarded, and testing the MCDM methods. Finally, the third stage is the participatory process and final application of MCDM methods.
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Abdel Aal, Samah Ibrahim, Shreyas J., and Udayaprasad P. K. "Selecting Optimal Charcoal Company using Multi-Criteria Decision Making Methodology." Multicriteria Algorithms with Applications 3 (March 12, 2024): 15–22. http://dx.doi.org/10.61356/j.mawa.2024.311561.
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A popular technique used in many industries to assist decision-makers in evaluating and selecting the best alternatives from a variety of accessible possibilities is multi-criteria decision-making (MCDM). This study proposed an MCDM methodology for selecting optimal charcoal from various options and criteria. Various criteria influence the selection problem, such as financial, safety, labour, power supply, production, and transportation. This study used the Combinative Distance Assessment (CODAS) method as an MCDM method to rank the alternatives and use the best one. This study used nine criteria and twenty alternatives. The requirements are divided into positive and negative criteria to compete for the positive and negative ideal solution using the CODAS method. The criteria weights are computed. The rank of alternatives is checked by using the sensitivity analysis. The results show the rank of other options is stable in different cases.
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Garabinović, Dušan, Miloš Papić, and Marija Kostić. "Multi-criteria decision making trends in ecotourism and sustainable tourism." Ekonomika poljoprivrede 68, no. 2 (2021): 321–40. http://dx.doi.org/10.5937/ekopolj2102321g.
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The goal of this paper is to provide a comprehensive overview of application of multi-criteria decision making (MCDM) methods in papers from the field of ecotourism and sustainable tourism. A search has been done of the relevant terms in titles, abstracts and keywords found in papers from 26 prominent journals from the field of tourism belonging in Web of Science (WoS) Clarivate Analytics. It has been established which MCDM methods were used and who are the most common authors of such papers. A keyword frequency analysis was also performed. It is established there are 39 papers in the field of ecotourism and sustainable tourism where MCDM methods were applied whereby all were published after the year 2000, as well as that their number is constantly increasing.
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Ogrodnik, Karolina. "Multi-Criteria Analysis of Design Solutions in Architecture and Engineering: Review of Applications and a Case Study." Buildings 9, no. 12 (December 17, 2019): 244. http://dx.doi.org/10.3390/buildings9120244.
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The primary goal of this paper is to present the application potential of MCDM/MCDA (multi-criteria decision-making/multi-criteria decision analysis) methods in the field of architecture and urban planning and in energy efficient construction, especially in the context of sustainable development paradigm. The first part of this paper is devoted to literature studies pertaining to multi-criteria decision-making support in the selected fields. On the basis of the delivered review, it was demonstrated that the most popular methods belonging to the MCDM/MCDA group that have been used so far for the purpose of resolving selected decision-making challenges, is the AHP (analytic hierarchy process) method with modifications, TOPSIS (technique for order of preference by similarity to ideal solution) method, as well the up-and-coming COPRAS (complex proportional assessment) method. In addition, by reviewing the literature, it was found that MCDM/MCDA methods constitute an effective support tool at the stage of evaluating and selecting project solutions, and are especially helpful in framing various social, economic, environmental criteria that are permanently linked to the rule of sustainable development. The empirical section of this paper, through a case study, presents a comparative analysis of the classical AHP method with its extension onto fuzzy sets. The case study pertained to the criteria for the location of single-family residential buildings with solar installations.
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Dua, Tran Van. "Development of a new multi-criteria decision-making method." Eastern-European Journal of Enterprise Technologies 3, no. 4 (123) (June 30, 2023): 33–38. http://dx.doi.org/10.15587/1729-4061.2023.279622.
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Choosing the best option out of the many available options is always the goal to be achieved in all areas. However, the parameters (criteria) in each alternative are not the same, sometimes contradictory. In this situation, choosing the best option is an extremely difficult decision for the decision maker. Multi-criteria decision making (MCDM) is the ranking of alternatives based on the criteria of each alternative. More than one hundred multi-criteria decision-making methods have been proposed by the inventors. They are being used in many different fields. However, for decision makers, choosing an appropriate method to use in each specific case is a difficult task. CURLI (Collaborative Unbiased Rank List Integration) is a multi-criteria decision making method that distinguishes it from all others. That difference is reflected in the fact that when applying this method, the decision maker does not need to normalize the data nor determine the weights for the criteria. However, it will take a long time for decision makers to apply this method, especially when the number of options to rank is large. This study carried out the development of a new MCDM method based on the CURLI method. This new method is named CURLI-2. Many different examples are presented to evaluate the effectiveness of the proposed method. In each example, the result of ranking the alternatives using the CURLI-2 method has been compared with those using other different MCDM methods. The best alternative determined when using the CURLI-2 method always coincides with the use of existing MCDM methods. Using CURLI-2 method to rank alternatives will be much faster and simpler than using CURLI method. This is the advantage of CURLI-2 method compared with CURLI method
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Al-Sakkaf, Abobakr, Moaaz Elkabalawy, and Eslam Mohammed Abdelkader. "Synthetic Evaluation of Multi-Criteria Decision-Making Algorithms in Energy-Efficient Buildings." International Journal of Strategic Decision Sciences 13, no. 1 (January 1, 2022): 1–13. http://dx.doi.org/10.4018/ijsds.309120.
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Multi-criteria decision making (MCDM) on energy-efficient buildings has become essential in both the industry and academia as construction projects grow increasingly complex. With a prime goal of increasing its effectiveness, MCDM research has witnessed tremendous growth over the past three decades. Despite the necessity to monitor the research growth of a research topic to identify its trends and gaps, and hence shed light on research areas that warrant future research attention, there is a lack of systematic literature analysis in MCDM area. To fill this gap, this paper recruited a mixed-review method of scientometric and systematic reviews of 56 research papers on seven selected popular MCDM techniques published from 2010 to March 2021. The scientometric review identified the most prolific journals, keyword correlations, and geospatial connections between research countries in the MCDM area. On the other hand, the systematic review analysis showed that there are five main research topics in MCDM. Furthermore, the major approaches applied in MCDM research were investigated.
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Zaliluddin, Dadan. "Bibliometric Analysis of “Accuracy of Multi Criteria Decision Making (MCDM) of Assistance Recipients with Fuzzy Logic Algorithm”." West Science Interdisciplinary Studies 1, no. 07 (July 31, 2023): 329–39. http://dx.doi.org/10.58812/wsis.v1i07.82.
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The issue of making decisions accurately and swiftly is crucial in the present and is bolstered by an abundance of data; therefore, making correct decisions can save the future. With a large amount of data and numbers, however, the decision-making process will become even more muddled if the statistical ranking values are identical. Therefore, a method is required to determine whether a hazy decision becomes clearer or a decision that is nearly identical is the best. The method used has existed for more than 50 years, and it is fuzzy logic. In the selection of fuzzi, the term Multi-Criteria Decision Making (MCDM) is frequently used, and it continues to be used and expanded. As a result, the increasing number of articles that contain information about Fuzzy Logic Multi-Criteria Decision Making (MCDM) can be used as research material using Bibliometric analysis based on the Scopus. With Bibliometric analysis, tens of thousands of related articles can be analyzed and displayed with VOSviewer software using a variety of categories including authors, titles, citations, updates, and other information to demonstrate the most recent direction of future research on fuzzy logic Multi Criteria Decision Making (MCDM).
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Zavadskas, Edmundas Kazimieras, Zenonas Turskis, and Simona Kildienė. "STATE OF ART SURVEYS OF OVERVIEWS ON MCDM/MADM METHODS." Technological and Economic Development of Economy 20, no. 1 (March 26, 2014): 165–79. http://dx.doi.org/10.3846/20294913.2014.892037.
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Decision-making is primarily a process that involves different actors: people, groups of people, institutions and the state. As a discipline, multi-criteria decision-making has a relatively short history. Since 1950s and 1960s, when foundations of modern multi-criteria decision-making methods have been laid, many researches devoted their time to development of new multi-criteria decision-making models and techniques. In the past decades, researches and development in the field have accelerated and seem to continue growing exponentially. Despite the intensive development worldwide, few attempts have been made to systematically present the theoretical bases and developments of multi-criteria decision-making methods. However, the methodological choices and framework for assessment of decisions are still under discussion. The article describes the situation with reviews of MCDM/MADM methods. Furthermore, there is a need for research to study the strengths and weaknesses of different decision-making methods.
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Toapanta, Walter Culque, Fausto Vizcaíno Naranjo, and Antonio Castillo Medina. "A Fusion of Multi-Criteria Decision-Making for Select Recharge Structure." Fusion: Practice and Applications 14, no. 1 (2024): 129–27. http://dx.doi.org/10.54216/fpa.140110.
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Groundwater recharge is essential in establishing reliable groundwater supplies in a region. Groundwater is a vital natural water resource, but its quantity and quality may vary significantly from one area to another. Growing urbanization and population increase have put a significant demand on groundwater supplies. Using Multi-Criteria Decision-Making (MCDM), several studies have identified good areas for recharging groundwater supplies. To help choose between several types of artificial recharge (AR) structures, we have developed an MCDM approach for this research. We used an MCDM fusion methodology to combine various AR criteria with the alternatives. This study collected eight criteria and eight alternatives. We used the average method to compute the weights of the criteria. Then, we used the COCOSO method as an MCDM fusion method to rank the alternatives. The results show that hydrological conditions are the best criteria, and stakeholder engagement is the lowest weight. The sensitivity analysis is performed to show the stability of the results in this study.
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Lam, Weng Hoe, Kah Fai Liew, and Weng Siew Lam. "Selection of Materials in Construction Industry with Multi-Criteria Decision Making Models." E3S Web of Conferences 405 (2023): 04015. http://dx.doi.org/10.1051/e3sconf/202340504015.
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Construction companies play a central role in the development of a country. The construction products stimulate the growth of private physical structures and public infrastructure for many productive activities such as utilities, commerce, and services. A good material selection is an essential part that needs to be studied in order to come out with a product that is of high quality and safe to be used. As a result, materials selection in the field of construction has also become an interesting topic for many researchers. Based on the previous literature, several multiple criteria decision making (MCDM) models are proposed to choose the best materials for a particular application in recent years. With multiple decision criteria, material selection is treated as an MCDM problem. According to past studies, the researchers have emphasized the integration of MCDM models to tackle complicated decision making problems. MCDM model is a good tool and has been widely proposed in various fields as MCDM models are capable to tackle the decision making problems that are taking multiple decision criteria into consideration. The intended purpose of this paper aims to provide a literature review on the material selection in the field of construction with MCDM models.
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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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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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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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Bhole, Girish P. "Multi Criteria Decision Making (MCDM) Methods and its applications." International Journal for Research in Applied Science and Engineering Technology 6, no. 5 (May 31, 2018): 899–915. http://dx.doi.org/10.22214/ijraset.2018.5145.
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Tran Quang, Huy. "Optimizing University Student Housing Decisions: A MARCOS-Based Multi-Criteria Analysis." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 2 (March 9, 2024): 165–67. http://dx.doi.org/10.62225/2583049x.2024.4.2.2457.
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Multi-criteria decision making (MCDM) techniques are crucial in decision-making situations with several conflicting criteria, helping to make well-informed and optimum decisions. This study utilizes the MARCOS technique, a well-known MCDM strategy, to help university students choose the optimal apartment leasing option nearby a Vietnamese institution. Data on two critical criteria, namely location distance to the university and monthly rental price, were collected from 18 apartment rental options. Through rigorous analysis utilizing the MARCOS method, the study identifies the most suitable apartment rental option for university students.
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YU, Dejian. "HESITANT FUZZY MULTI-CRITERIA DECISION MAKING METHODS BASED ON HERONIAN MEAN." Technological and Economic Development of Economy 23, no. 2 (November 4, 2015): 296–315. http://dx.doi.org/10.3846/20294913.2015.1072755.
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Among several extensions of fuzzy set theory, the concept introduced by Torra and Narukawa (2009) in defining hesitant fuzzy set is interesting and practical. In this paper we introduce and study new methods for dealing with MCDM (multi-criteria decision making) problems under the hesitant fuzzy environment. First, we propose and discuss the notion of hesitant fuzzy Heronian mean operators. By using these operators, we can portray the relationship of the criteria effectively. Then, the numerical examples are provided and comparative analyses with other aggregation operators are not neglected. Furthermore, the weighted forms of the hesitant fuzzy Heronian mean operators are defined for MCDM problem, based on which, new MCDM methods are proposed. The MCDM methods presented in this paper can provide an effective manner to assist the decision maker in making his/her decision. An example about dormitory construction projection selection is given to show the effectiveness of the proposed method.
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Permanasari, Adhistya Erna, Marsetyo Wisaksono, and Sri Suning Kusumawardani. "A Multi Criteria Decision Making to Support Major Selection of Senior High School." IJITEE (International Journal of Information Technology and Electrical Engineering) 3, no. 4 (May 8, 2020): 128. http://dx.doi.org/10.22146/ijitee.54427.
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Senior high school students need to select a specialization, such as Mathematics and Natural Sciences, Social Sciences, or Language and Culture. This selection process can be improved by using Multi Criteria Decision Making (MCDM) methods. When MCDM methods are implemented, AHP method has accuracy of 61%, whereas AHP-Fuzzy TOPSIS 1 and AHP-Fuzzy TOPSIS 2 have accuracy of 75%. This research implements tests and analyzes new MCDM method, which is Hybrid MCDM Model, in helping aforementioned specialization selection process. There are four basic steps in Hybrid MCDM Model: performing experimental design to obtain attributes' weight and criteria, evaluating MCDM with the three existing methods, performing RSM regression to derive mathematical model, and decision making. This research introduces data normalization to the mathematical model which results in better implementation of Hybrid MCDM Model in the senior high school students' specialization selection process. Hybrid MCDM Model in the senior high school student specialization selection has accuracy of 86%, which includes 11% accuracy improvements compared to other applied MCDM methods.
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Polatgil, Mesut, and Abdulkerim Güler. "The use of Different Criteria Weighting and Multi-Criteria Decision Making Methods for University Ranking: Two-Layer Copeland." Üniversite Araştırmaları Dergisi 7, no. 1 (March 20, 2024): 60–73. http://dx.doi.org/10.32329/uad.1398302.
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Multi-criteria methods have attracted attention in academia and industry applications for effective decision making. Although there are many multi-criteria decision making (MCDM) methods, none of these methods are perfect and should be chosen according to the decision problem. Choosing the necessary decision support method to find the right solution that is suitable for the decision maker becomes an important problem. To solve this problem, methods such as Copeland and Borda combining the results of different MCDM methods are available and widely used. In this study, a new hybrid model is proposed based on twice combining the results of different MCDM methods with different criterion weighting methods. The proposed model has been tested on student satisfaction data of 20 foundation universities in Turkey. It has been shown that the final model named Ensemble Copeland can be used as a benchmark in MCDM problems
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Mohammed, Sahar, Abdulrahman Kareem Oleiwi, Thaaer kh.Asman, Hadeel M Saleh, Alaa Mohammad Mahmood, and Isa AVCI. "Survey of MCDM-Based Software Engineering Method." Babylonian Journal of Mathematics 2024 (February 18, 2024): 13–18. http://dx.doi.org/10.58496/bjm/2024/002.
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Multi-criteria decision making (MCDM) is an operation research subfield (OR). Decision-making is primarily a process involving various actors, including individuals, groups of individuals, institutions, and the state. As a discipline, multi-criteria decision-making is relatively new Many researchers have devoted their time to developing new MCDM models and techniques since the 1950s and 1960s, when the foundations of modern multi-criteria decision-making methods were laid. Research and development in the area have intensified recently and appear to be developing tremendously. Few attempts have been made to systematically convey the theoretical foundations and advancements of multi-criteria decision-making systems, despite the widespread and intense development. The framework for evaluating judgments and the methodological options are still up for debate. In this paper reviews of MCDM/MADM technologies will be included describing their scenarios. Making a decision that is more appropriate than others to solve a particular problem is the goal of decision-making (DM), so this study presents a review of the advantages and disadvantages of different decision-making techniques, specifically in the field of software engineering.
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Subhra Pramanik and Anshuman Dhan. "Enhancing Decision Quality in Multi-Criteria Decision Making through CISDAC-WSM Algorithm." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 03 (March 20, 2024): 537–45. http://dx.doi.org/10.47392/irjaeh.2024.0077.
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This paper introduces CISDAC-WSM, an innovative extension of the Weighted Sum Method (WSM) within the Multi-Criteria Decision Making (MCDM) framework. CISDAC-WSM integrates principles from Principal Component Analysis (PCA) to enhance decision outcomes by identifying the Most Significant Discriminating Axes. The algorithm operates under the assumption that alternative rankings should exhibit a monotonic trend in the scores of the Most Significant Discriminating Axes. In addition to leveraging PCA, CISDAC-WSM introduces an interval-based conflict resolution mechanism for alternatives with similar rankings. Unlike traditional outranking algorithms like PROMETHEE, CISDAC-WSM focuses on comparing each alternative only with those ranked superior, resulting in more targeted evaluations. Empirical comparisons and performance evaluations demonstrate that CISDAC-WSM consistently outperforms existing MCDM algorithms. Through its emphasis on identifying the Most Significant Discriminating Axes and the innovative conflict resolution strategy, the algorithm showcases enhanced decision-making capabilities and efficiency. While CISDAC-WSM is an extension rather than an entirely new algorithm, its contributions lie in refining established methods, incorporating PCA insights, and offering a more localized approach to outranking. This makes it a promising advancement in the field of MCDM, presenting a refined and innovative technique for achieving more informed and effective decision outcomes across various domains.
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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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Vasegaard, Alex Elkjær, Mathieu Picard, Florent Hennart, Peter Nielsen, and Subrata Saha. "Multi Criteria Decision Making for the Multi-Satellite Image Acquisition Scheduling Problem." Sensors 20, no. 5 (February 25, 2020): 1242. http://dx.doi.org/10.3390/s20051242.
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The multi-satellite image acquisition scheduling problem is traditionally seen as a complex optimization problem containing a generic objective function that represents the priority structure of the satellite operator. However, the majority of literature neglect the collective and contemporary effect of factors associated with the operational goal in the objective function, i.e., uncertainty in cloud cover, customer priority, image quality criteria, etc. Consequently, the focus of the article is to integrate a real-time scoring approach of imaging attempts that considers these aspects. This is accomplished in a multi-satellite planning environment, through the utilization of the multi-criteria decision making (MCDM) models, Elimination and Choice Expressing Reality (ELECTRE-III) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and the formulation of a binary linear programming model. The two scoring approaches belong to different model classes of MCDM, respectively an outranking approach and a distance to ideal point approach, and they are compared with a naive approach. Numerical experiments are conducted to validate the models and illustrate the importance of criteria neglected in previous studies. The results demonstrate the customized behaviour allowed by MCDM methods, especially the ELECTRE-III approach.
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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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Nguyen Thi Hue and Le Thi Ngoc Quynh. "GREEN SUPPLIER ASSESSMENT USING A FUZZY MULTI-CRITERIA DECISION-MAKING APPROACH." International Journal of Management & Entrepreneurship Research 5, no. 6 (June 28, 2023): 464–70. http://dx.doi.org/10.51594/ijmer.v5i6.507.
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This study presents a fuzzy multi-criteria decision making (MCDM) approach to support the evaluation of green suppliers. The method utilizes linguistic terms represented by triangular fuzzy numbers to assess the ratings of different green suppliers based on various criteria, as well as to determine the weights assigned to each criterion. The arithmetic of fuzzy numbers is employed to derive a weighted fuzzy decision matrix. In order to simplify and enhance practicality, the weighted ratings are converted into crisp values using the widely-used centroid index ranking approach. The proposed fuzzy MCDM method is then applied to a green supplier assessment problem, showcasing its effectiveness and computational process.
Keywords: Green Supplier Assessment, MCDM, Fuzzy Numbers, TOPSIS.
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Guebsi, Wafa, and Alaeddine Zouari. "Investigation on Multi-Criteria Decision Making Methods Application in Sustainable Product Design." SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) 3, no. 1 (June 14, 2022): 91–104. http://dx.doi.org/10.12928/spekta.v3i1.5962.
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Background: Integrating sustainability development' aspects in the design process is becoming, a growth area in companies. Consequently, sustainable product design has to consider the different aspects of sustainability throughout its life cycle phases in addition of other requirements. This integration is becoming more complicated due the difficulty of managing the constraints and alternatives related to the product and stakeholders needs. This study aims to highlights the most used Multi-Criteria Decision Making (MCDM) tools and methods used in sustainable product design process. Contribution: Product design process involves interesting decisional tasks such as the choice of materials, standard parts, technical solutions. Hence, the contribution of this work is to help designer to adopt relevant MCDM tools and methods that can be integrated to other tools to facilitate and to justify their decisional tasks. Method: Several methods have been affected to solve the problems related to this complexity such as MCDM. A literature review was conducted based on Siencedirect and GoogleScholar articles databases. After filtering more than 200 articles only 62 articles were considered to analyze the correlation between sustainable product design and MCDM. Results: Classified MCDM use according to the type of choices to achieve SPD goals. This paper allowed us to find matches between MCDM methods and SPD problem. The majority of case studies result show that a large portion of sustainable design methods, techniques, and tools are applied to the sustainable product’ along its different life cycle phases Conclusion: It is noticed that the use of MCDM methods are an important outcome in the sustainable product design process and deeply helps designers to make suitable choices. Also, several matches relating MCDM, other methods and sustainable product design sphere are discussed
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Yazdani-Chamzini, Abdolreza, Mohammad Majid Fouladgar, Edmundas Kazimieras Zavadskas, and S. Hamzeh Haji Moini. "SELECTING THE OPTIMAL RENEWABLE ENERGY USING MULTI CRITERIA DECISION MAKING." Journal of Business Economics and Management 14, no. 5 (September 23, 2013): 957–78. http://dx.doi.org/10.3846/16111699.2013.766257.
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Renewable energies are well-known as one of the most important energy resources not only due to limited other energy resources, but also due to environmental problems associated with air pollutants and greenhouse gas emissions. Renewable energy project selection is a multi actors and sophisticated problem because it is a need to incorporate social, economic, technological, and environmental considerations. Multi criteria decision making (MCDM) methods are powerful tools to evaluate and rank the alternatives among a pool of alternatives and select the best one. COPRAS (COmplex PRoportional ASsessment) is an MCDM technique which determines the best alternative by calculating the ratio to the ideal solution and the negative ideal solution. On the other hand, analytical hierarchy process (AHP) is widely used in order to calculate the importance weights of evaluation criteria. In this paper an integrated COPRAS-AHP methodology is proposed to select the best renewable energy project. In order to validate the output of the proposed model, the model is compared with five MCDM tools. The results of this paper demonstrate the capability and effectiveness of the proposed model in selecting the most appropriate renewable energy option among the existing alternatives.
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Su, Limin, Tianze Wang, Huimin Li, Yongchao Chao, and Lunyan Wang. "MULTI-CRITERIA DECISION MAKING FOR IDENTIFICATION OF UNBALANCED BIDDING." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 26, no. 1 (December 18, 2019): 43–52. http://dx.doi.org/10.3846/jcem.2019.11568.
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Unbalanced bidding is a serious problem in the competitive bidding practices of construction projects. Identification and prevention of unbalanced bidding is an important and complexity task for owners. This paper aims to propose an identification model of unbalanced bidding from multi-criteria decision making (MCDM) perspective. The VIKOR method is employed to detect unbalanced bidding, in which the line items and bidders are considered as criteria and alternatives in MCDM, respectively. And the engineer’s estimated price is chosen as evaluation benchmarking. Then relative distances between engineer’s estimated price and each bidding unit price are calculated to build decision matrix. The weights of factors are determined using entropy weight method. To illustrate the effectiveness of the proposed model, an application example is tested in detecting unbalanced bidding. Finally, the sensitivity analysis about VIKOR method is given. It shows that the presented model would provide a robust decision making support for owner in identifying unbalanced bidding.
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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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Balogun, A. O., A. O. Bajeh, H. A. Mojeed, and A. G. Akintola. "Software defect prediction: A multi-criteria decision-making approach." Nigerian Journal of Technological Research 15, no. 1 (April 30, 2020): 35–42. http://dx.doi.org/10.4314/njtr.v15i1.7.
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Failure of software systems as a result of software testing is very much rampant as modern software systems are large and complex. Software testing which is an integral part of the software development life cycle (SDLC), consumes both human and capital resources. As such, software defect prediction (SDP) mechanisms are deployed to strengthen the software testing phase in SDLC by predicting defect prone modules or components in software systems. Machine learning models are used for developing the SDP models with great successes achieved. Moreover, some studies have highlighted that a combination of machine learning models as a form of an ensemble is better than single SDP models in terms of prediction accuracy. However, the efficiency of machine learning models can change with diverse predictive evaluation metrics. Thus, more studies are needed to establish the effectiveness of ensemble SDP models over single SDP models. This study proposes the deployment of Multi-Criteria Decision Method (MCDM) techniques to rank machine learning models. Analytic Network Process (ANP) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) which are types of MCDM techniques are deployed on 9 machine learning models with 11 performance evaluation metrics and 11 software defects datasets. The experimental results showed that ensemble SDP models are best appropriate SDP models as Boosted SMO and Boosted PART ranked highest for each of the MCDM techniques. Besides, the experimental results also validated the stand of not considering accuracy as the only performance evaluation metrics for SDP models. Conclusively, more performance metrics other than predictive accuracy should be considered when ranking and evaluating machine learning models.
Keywords: Ensemble; Multi-Criteria Decision Method; Software Defect Prediction
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Zhu, Feilin, Ping-an Zhong, Yimeng Sun, and Bin Xu. "Selection of criteria for multi-criteria decision making of reservoir flood control operation." Journal of Hydroinformatics 19, no. 4 (March 7, 2017): 558–71. http://dx.doi.org/10.2166/hydro.2017.059.
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In reservoir flood control operation, selection of criteria is an important part of the multi-criteria decision making (MCDM) procedure. This paper proposes a method to select criteria for MCDM of reservoir flood control operation based on the back-propagation (BP) neural network. According to the concept of ideal and anti-ideal points, we propose a method to generate training samples of the BP neural network via stochastic simulation. The topological structure of a three-layer BP neural network used for criteria selection is established. The relative importance of criteria is derived via the learned connection weights of a trained BP neural network, and its calculation method is proposed. The sensitivity curve method is employed to conduct sensitivity analysis, and the relative contribution ratio is defined to quantify the relative sensitivity strength of each criterion. We present the principle and threshold value of criteria selection based on the comprehensive discrimination index defined by the combination of the relative importance and relative contribution ratio. The Pubugou reservoir is selected as the case study. The results show that the proposed method can provide an effective tool for decision makers to select criteria before MCDM modeling of reservoir flood control operation.
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Al Nasiri, Noura, Abdullah Al Fazari, Waad Ali, Boadi Agyekum, and Elnazir Ramadan. "Multi-Criteria Decision-Making Approach for Siting Sewer Treatment Plants in Muscat, Oman." Urban Science 7, no. 3 (August 10, 2023): 82. http://dx.doi.org/10.3390/urbansci7030082.
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Sewer Treatment Plants (STPs) are essential pieces of infrastructure given the growing scarcity of water sources due to the challenges of urbanization. The positioning of STPs is a complex multidimensional process that involves integrative decision-making approaches that consider multiple sustainability criteria to ensure their optimal placement. The Multi-Criteria Decision Method (MCDM) is a suite of approaches available to decision-makers when making systematic and scientifically informed decisions on siting wastewater treatment plants. Although MCDM methods have manifold applications in different geographic contexts, there is a paucity of studies employing MCDM models for the siting of STPs within the context of Oman. In this study, we assessed the locations of existing STPs and identified suitable locations for future STPs within the Muscat Governorate of Oman using a Multi-Criteria Decision-Making Analytic Hierarchy Process (MCDM-AHP) model in a Geographic Information System (GIS) environment. Eight factors were considered in the MCDM-AHP model: slope, elevation, proximity to built-up areas, airports, valleys, road networks, the sea, parks, and golf courses. Each factor was assigned priority weights based on its importance using the AHP method. Thematic maps were generated to categorize the potential sites into different suitability levels. The results showed that the coastal areas of A’Seeb and Bowsher were the most suitable locations for STPs, representing only 1.19% of the total study area. The novelty of this study stems from the perspective of an original application within the context of Oman, which has generated novel results and interpretations. This has significant implications for urban policy and planning with respect to better informing decision-makers with a systematic framework for efficient wastewater treatment.
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Hashemi, Amin, Mohammad Bagher Dowlatshahi, and Hossein Nezamabadi-pour. "MFS-MCDM: Multi-label feature selection using multi-criteria decision making." Knowledge-Based Systems 206 (October 2020): 106365. http://dx.doi.org/10.1016/j.knosys.2020.106365.
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