Journal articles: 'Multicriterion Decision Making'

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Bonner, John, Kenneth J. Arrow, and Herve Raynaud. "Social Choice and Multicriterion Decision-Making." Economic Journal 97, no. 387 (September 1987): 753. http://dx.doi.org/10.2307/2232938.

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Raju, K. S., and D. N. Kumar. "Multicriterion decision making in irrigation planning." Agricultural Systems 62, no. 2 (November 1999): 117–29. http://dx.doi.org/10.1016/s0308-521x(99)00060-8.

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Raju, K. Srinivasa. "MULTICRITERION DECISION MAKING: A BRIEF OVERVIEW." ISH Journal of Hydraulic Engineering 15, sup1 (January 2009): 129–50. http://dx.doi.org/10.1080/09715010.2009.10514972.

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Osyczka, Andrzej. "An interactive multicriterion decision making system." Annual Review in Automatic Programming 12 (January 1985): 208–11. http://dx.doi.org/10.1016/0066-4138(85)90029-1.

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Gaur, Shishir, K. Srinivasa Raju, D. Nagesh Kumar, and Mayank Bajpai. "Multicriterion decision making in groundwater planning." Journal of Hydroinformatics 23, no. 3 (March 4, 2021): 627–38. http://dx.doi.org/10.2166/hydro.2021.122.

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Abstract The groundwater planning problems are often multiobjective. Due to conflicting objectives and non-linearity of the variables involved, several feasible solutions may have to be evolved rather than single optimal solution. In this study, the simulation model built on an Analytic Element Method (AEM) and the optimization model built on a Non-dominated Sorting Genetic Algorithm (NSGA-II) were coupled and applied to study a part of the Dore river catchment, France. The maximization of discharge, the minimization of pumping cost and the minimization of piping cost are the three objectives considered. 2105 non-dominated groundwater planning strategies were generated. K-Means cluster analysis was employed to classify the strategies, and clustering was performed for 3 to 25 clusters. A cluster validation technique, namely Davies–Bouldin (DB) index, was employed to find the optimal number of clusters of groundwater strategies which were found to be 20. Multicriterion Decision-Making (MCDM) techniques, namely VIKOR and TOPSIS, were developed to rank the 20 representative strategies. Both these decision-making techniques preferred representative strategy A5 (piping cost, pumping cost and discharge respectively of 880,000 Euro, 679,000 Euro and 1,263.1 m3/s). The sensitivity analysis of parameter v in VIKOR suggested that there were changes in ranking pattern for various values of v. However, the first position remained unchanged.

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Lansdowne, Zachary F. "Ordinal ranking methods for multicriterion decision making." Naval Research Logistics 43, no. 5 (August 1996): 613–27. http://dx.doi.org/10.1002/(sici)1520-6750(199608)43:5<613::aid-nav2>3.0.co;2-8.

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Raju, K. Srinivasa, and D. Nagesh Kumar. "Fuzzy multicriterion decision making in irrigation planning." Irrigation and Drainage 54, no. 4 (2005): 455–65. http://dx.doi.org/10.1002/ird.197.

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Trosper, Ronald L. "MULTICRITERION DECISION-MAKING IN A TRIBAL CONTEXT." Policy Studies Journal 16, no. 4 (June 1988): 826–42. http://dx.doi.org/10.1111/j.1541-0072.1988.tb00688.x.

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Chan, F. T. S., H. K. Chan, and M. H. Chan. "An integrated fuzzy decision support system for multicriterion decision-making problems." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 217, no. 1 (January 1, 2003): 11–27. http://dx.doi.org/10.1243/095440503762502251.

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In order to compete effectively in today's rapidly changing world economy, decision making should be made fast and accurate, especially when many tangible and intangible factors are considered together. Making decisions to implement advanced manufacturing technologies (AMTs) is a good example. However, not all AMT implementations are successful because most of the conventional investment justification criteria are built on tangible factors, such as cost reduction, only. Intangiabl long-term benefits such as improvement in quality, increase in flexibility, and fast delivery are always disregarded. The objective of this paper is to present an integrated approach, which incorporates different approaches (e.g. strategic, economic and analytic evaluations) for assessing the benefits among several alternative proposals, such as implementing AMT, by a fuzzy multicriterion decision-making method.

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Piegat, Andrzej, and Wojciech Sałabun. "Identification of a Multicriteria Decision-Making Model Using the Characteristic Objects Method." Applied Computational Intelligence and Soft Computing 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/536492.

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This paper presents a new, nonlinear, multicriteria, decision-making method: the characteristic objects (COMET). This approach, which can be characterized as a fuzzy reference model, determines a measurement standard for decision-making problems. This model is distinguished by a constant set of specially chosen characteristic objects that are independent of the alternatives. After identifying a multicriteria model, this method can be used to compare any number of decisional objects (alternatives) and select the best one. In the COMET, in contrast to other methods, the rank-reversal phenomenon is not observed. Rank-reversal is a paradoxical feature in the decision-making methods, which is caused by determining the absolute evaluations of considered alternatives on the basis of the alternatives themselves. In the Analytic Hierarchy Process (AHP) method and similar methods, when a new alternative is added to the original alternative set, the evaluation base and the resulting evaluations of all objects change. A great advantage of the COMET is its ability to identify not only linear but also nonlinear multicriteria models of decision makers. This identification is based not on a ranking of component criteria of the multicriterion but on a ranking of a larger set of characteristic objects (characteristic alternatives) that are independent of the small set of alternatives analyzed in a given problem. As a result, the COMET is free of the faults of other methods.

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Raju, Komaragiri Srinivasa, and C. R. S. Pillai. "Multicriterion decision making in river basin planning and development." European Journal of Operational Research 112, no. 2 (January 1999): 249–57. http://dx.doi.org/10.1016/s0377-2217(98)00006-x.

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Asmar, Mounir El, Wafik Boulos Lotfallah, Wei-Yin Loh, and Awad S. Hanna. "Reducing Bias and Uncertainty in Multievaluator Multicriterion Decision Making." Journal of Computing in Civil Engineering 27, no. 2 (March 2013): 167–76. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000206.

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Raju, Komaragiri Srinivasa, and C. R. S. Pillai. "Multicriterion decision making in performance evaluation of an irrigation system." European Journal of Operational Research 112, no. 3 (February 1999): 479–88. http://dx.doi.org/10.1016/s0377-2217(98)00007-1.

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Tecle, Aregai. "SELECTING A MULTICRITERION DECISION MAKING TECHNIQUE FOR WATERSHED RESOURCES MANAGEMENT." Journal of the American Water Resources Association 28, no. 1 (February 1992): 129–40. http://dx.doi.org/10.1111/j.1752-1688.1992.tb03159.x.

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Lansdowne, Zachary F. "Outranking methods for multicriterion decision making: Arrow's and Raynaud's conjecture." Social Choice and Welfare 14, no. 1 (December 13, 1996): 125–28. http://dx.doi.org/10.1007/s003550050056.

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Chen, Shouyu, and Zhaocheng Hou. "MULTICRITERION DECISION MAKING FOR FLOOD CONTROL OPERATIONS: THEORY AND APPLICATIONS." Journal of the American Water Resources Association 40, no. 1 (February 2004): 67–76. http://dx.doi.org/10.1111/j.1752-1688.2004.tb01010.x.

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Pertiwi, Setyo, Toshio KONAKA, and Masayuki KOIKE. "Selection of Alternative Farm Work Plan By Multicriterion Decision-Making Technique." Japanese Journal of Farm Work Research 27, no. 1 (1992): 36–46. http://dx.doi.org/10.4035/jsfwr.27.36.

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Taghezout, Noria, and Pascale Zaratè. "Supporting a multicriterion decision making and multi-agent negotiation in manufacturing systems." Intelligent Decision Technologies 3, no. 3 (October 9, 2009): 139–55. http://dx.doi.org/10.3233/idt-2009-0061.

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A. Tecle and M. Yitayew. "PREFERENCE RANKING OF ALTERNATIVE IRRIGATION TECHNOLOGIES VIA A MULTICRITERION DECISION-MAKING PROCEDURE." Transactions of the ASAE 33, no. 5 (1990): 1509. http://dx.doi.org/10.13031/2013.31502.

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Başar, Tamer. "Social Choice and Multicriterion Decision-Making (Kenneth J. Arrow and Herve Raynaud)." SIAM Review 30, no. 1 (March 1988): 137–38. http://dx.doi.org/10.1137/1030018.

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Morankar, D. V. "Performance evaluation of irrigation network using fuzzy multicriterion group decision making technique." International Journal of Hydrology Science and Technology 3, no. 1 (2013): 13. http://dx.doi.org/10.1504/ijhst.2013.055230.

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Yang, Miin-Shen, and Zahid Hussain. "Fuzzy Entropy for Pythagorean Fuzzy Sets with Application to Multicriterion Decision Making." Complexity 2018 (November 1, 2018): 1–14. http://dx.doi.org/10.1155/2018/2832839.

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The concept of Pythagorean fuzzy sets (PFSs) was initially developed by Yager in 2013, which provides a novel way to model uncertainty and vagueness with high precision and accuracy compared to intuitionistic fuzzy sets (IFSs). The concept was concretely designed to represent uncertainty and vagueness in mathematical way and to furnish a formalized tool for tackling imprecision to real problems. In the present paper, we have used both probabilistic and nonprobabilistic types to calculate fuzzy entropy of PFSs. Firstly, a probabilistic-type entropy measure for PFSs is proposed and then axiomatic definitions and properties are established. Secondly, we utilize a nonprobabilistic-type with distances to construct new entropy measures for PFSs. Then a min–max operation to calculate entropy measures for PFSs is suggested. Some examples are also used to demonstrate suitability and reliability of the proposed methods, especially for choosing the best one/ones in structured linguistic variables. Furthermore, a new method based on the chosen entropies is presented for Pythagorean fuzzy multicriterion decision making to compute criteria weights with ranking of alternatives. A comparison analysis with the most recent and relevant Pythagorean fuzzy entropy is conducted to reveal the advantages of our developed methods. Finally, this method is applied for ranking China-Pakistan Economic Corridor (CPEC) projects. These examples with applications demonstrate practical effectiveness of the proposed entropy measures.

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Duckstein, Lucien, Ambrose Goicoechea, and Eric Parent. "Preface to the special issue on multicriterion decision making with engineering applications." Applied Mathematics and Computation 54, no. 2-3 (March 1993): 99. http://dx.doi.org/10.1016/0096-3003(93)90054-i.

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Coates, Dennis, and Michael Munger. "Guessing and Choosing: A Multicriterion Decision on Disposal Technology for Low-Level Radioactive Waste." Journal of Public Policy 11, no. 3 (July 1991): 275–90. http://dx.doi.org/10.1017/s0143814x0000533x.

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ABSTRACTPublic officials faced with difficult and technologically complex decisions often resort to decision rules that purport to aggregate disparate judgements. Such multicriterion decisions are only as good as the procedures used to perform such aggregation, however. We examine the use of one such decision-making tool, a variant of the Delphi technique, in the choice of a disposal technology for low-level radioactive waste for the Southeast Compact Commission in the United States. The case focuses on the danger when officials guess when they think they are choosing. Choosing occurs when all participants understand the implications, and sensitivities, of the technique used to aggregate judgement; guessing occurs when the participants choose randomly or without full knowledge of the properties of the process.

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Guini, Fatimazahra, Abdellah El Barkany, Abdelouahhab Jabri, and El Hassan Irhirane. "An Approach for the Evaluation of a Product's Process Planning during the Design Phase through a Group Multi-Criteria Decision-Making." International Journal of Engineering Research in Africa 38 (September 2018): 154–62. http://dx.doi.org/10.4028/www.scientific.net/jera.38.154.

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The process planning of a product represents in the manufacturing industry a major element that determines the level of economic performance of the company. The development and evaluation of process planning during the industrialization phase of a product can cause problems of quality, cost or manufacturing time. Therefore, process planning needs to be evaluated early, during the design phase. The aim of this article is to propose to a manufacturing company a hybrid approach of multicriterion decision support, allowing evaluating the concepts proposed by the designer to choose the best concept having the best industrial performance indicators, and to take into account the opinions of experts from different departments of the company. The multicriterion choice is made by the hybridization of the ROC method and the PROMETHEE method, and the decision criteria are indicators that express the performance of a process planning. Then, to illustrate the capacity of the model, a case study of a product is presented.

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Pu, Yongfeng, Fangwu Ma, Lu Han, and Guowang Wang. "Material Selection of Green Design Processes for Car Body via considering Environment Property." Mathematical Problems in Engineering 2020 (March 16, 2020): 1–8. http://dx.doi.org/10.1155/2020/9241634.

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Facing serious environmental degradation and its resulting of climate warming, how to conserve energy and reduce emissions becomes a serious issue for government supervisors and modern vehicle enterprises. Reducing the mass of a vehicle is one of the most effective ways to reduce emissions and improve fuel utilization, essential to persist the low-carbon and sustainable-development bases in industrial production processes. When it comes to the selection of lightweight material for a car body in the processes of vehicle production, it is essential to comprehensively evaluate multiple relevant attributes in order to select the optimal material from several alternatives. Thus, it can be seen as a multicriterion decision-making (MCDM) problem. However, it is difficult to consider both the uncertainty of the expert’s preference and the imprecision of the attribute estimate. Considering this, this paper uses the method integrating grey relational analysis (GRA) with analytic hierarchy process (AHP) to solve the problem of lightweight material selection for a car body. The AHP method is used to determine the weight of each attribute, and the GRA method is to select the optimal material among several alternatives. Finally, a case study is applied to verify the practicability of the proposed approach. The result shows that the proposed multicriterion decision method provides a precise and objective foundation for making decisions about the material selection issue.

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Bahill, A. Terry, Sten O. Dahlberg, and Robert A. Lowe. "1.2.3 Difficulties in Using Multicriterion Decision Making Techniques for Tradeoff Studies Selecting Amongst Alternative Concepts." INCOSE International Symposium 8, no. 1 (July 1998): 192–97. http://dx.doi.org/10.1002/j.2334-5837.1998.tb00028.x.

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Hwang, Bang-Ning, and Yung-Chi Shen. "Decision Making for Third Party Logistics Supplier Selection in Semiconductor Manufacturing Industry: A Nonadditive Fuzzy Integral Approach." Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/918602.

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The semiconductor industry has a unique vertically disintegrated structure that consists of various firms specializing in a narrow range of the value chain. To ensure manufacturing and logistics efficiency, the semiconductor manufacturers considerably rely on 3PL suppliers to achieve supply chain excellence. However, 3PL supplier selection is a complex decision-making process involving multiple selection criteria. The goal of this paper is to identify the key 3PL selection criteria by employing the nonadditive fuzzy integral approach. Unlike the traditional multicriterion decision-making (MCDM) methods which often assume independence among criteria and additive importance weights, the nonadditive fuzzy integral is a more effective approach to solve the dependency among criteria, vagueness in information, and essential fuzziness of human judgment. In this paper, we demonstrate an empirical case that employs the nonadditive fuzzy integral to evaluate the importance weight of selection criteria and choose the most appropriate 3PL supplier. The research result can become a valuable reference for manufacturing companies operating in comparable situations. Moreover, the systematic framework presented in this study can be easily extended to the analysis of other decision-making domains.

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Christofides, A., A. Efstratiadis, D. Koutsoyiannis, G. F. Sargentis, and K. Hadjibiros. "Resolving conflicting objectives in the management of the Plastiras Lake: can we quantify beauty?" Hydrology and Earth System Sciences 9, no. 5 (October 19, 2005): 507–15. http://dx.doi.org/10.5194/hess-9-507-2005.

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Abstract. The possible water management of the Plastiras Lake, an artificial reservoir in central Greece, is examined. The lake and surrounding landscape are aesthetically degraded when the water level drops, and the requirement of maintaining a high quality of the scenery constitutes one of the several conflicting water uses, the other ones being irrigation, water supply, and power production. This environmental water use, and, to a lesser extent, the requirement for adequate water quality, results in constraining the annual release. Thus, the allowed fluctuation of reservoir stage is not defined by the physical and technical characteristics of the reservoir, but by a multi-criteria decision, the three criteria being maximising water release, ensuring adequate water quality, and maintaining a high quality of the natural landscape. Each of these criteria is analyzed separately. The results are then put together in a multicriterion tableau, which helps understand the implications of the possible alternative decisions. Several conflict resolution methods are overviewed, namely willingness to pay, hedonic prices, and multi-criteria decision analysis. All these methods attempt to quantify non-quantifiable qualities, and it is concluded that they don't necessarily offer any advantage over merely making a choice based on understanding.

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Christofides, A., A. Efstratiades, G. F. Sargentis, D. Koutsoyiannis, and K. Hadjibiros. "Resolving conflicting objectives in the management of the Plastiras Lake: can we quantify beauty?" Hydrology and Earth System Sciences Discussions 2, no. 3 (May 30, 2005): 801–19. http://dx.doi.org/10.5194/hessd-2-801-2005.

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Abstract. The possible water management of the Plastiras Lake, an artificial reservoir in central Greece, is examined. The lake and surrounding landscape is aesthetically degraded when the water level drops, and the requirement of maintaining a high quality of the scenery constitutes one of the several conflicting water uses, the other ones being irrigation, water supply, and power production. This environmental water use, and, to a lesser extent, the requirement for adequate water quality, results in constraining the annual release. Thus, the allowed fluctuation of reservoir stage is not defined by the physical and technical characteristics of the reservoir, but by a multi-criteria decision, the three criteria being maximizing water release, ensuring adequate water quality, and maintaining a high quality of the natural landscape. Each of these criteria is analyzed separately. The results are then put together in a multicriterion tableau, which helps understand the implications of the possible alternative decisions. Several conflict resolution methods are overviewed, namely willingness to pay, hedonic prices, and multi-criteria decision analysis. All these methods attempt to quantify non-quantifiable qualities, and it is concluded that they don't necessarily offer any advantage over merely making a choice based on understanding.

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Raju, K. Srinivasa, and Lucien Duckstein. "Integrated application of cluster and multicriterion analysis for ranking water resources planning strategies: a case study in Spain." Journal of Hydroinformatics 6, no. 4 (October 1, 2004): 295–307. http://dx.doi.org/10.2166/hydro.2004.0022.

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Integrated application of cluster analysis and Multicriterion Decision-Making (MCDM) is employed for the case study of the Flumen Monegros irrigation area in the Huesca province of Spain. Economic, environmental and social criteria are used to rank alternative strategies. Alternative strategies are formulated by mixing factors such as irrigation systems, water pricing, water allocation, crop distribution, fertiliser use and subsidies received. Cluster analysis is employed to reduce the large size payoff matrix to a manageable subset for further use of the MCDM technique. ELECTRE-3, an MCDM technique of outranking nature, is employed to rank the alternative strategies. The Kendall rank correlation coefficient is employed here to analyse the correlation between the ranking patterns obtained from various scenarios. Results indicate that three representative strategies are to be preferred based on this analysis.

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Roy, Sourav, Avik Paul, Ashish Paul, Shresth Kashyap, and Arunabha Jana. "Ranking Barriers of Supply Chain Management by MCDM Method During Disaster Management." International Journal of System Dynamics Applications 10, no. 2 (April 2021): 1–16. http://dx.doi.org/10.4018/ijsda.2021040101.

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Disasters are often described as a result of the combination of the exposure to a hazard, the conditions of vulnerability that are present, and insufficient capacity or measures to reduce or cope with the potential negative consequences. The inability to accurately predict these types of events underscores the need for countries to have disaster response plans to mobilize appropriate resources rapidly and efficiently. A well-defined organizational structure also must be created to coordinate both national and international assistance. Human race is always a fighter of natural calamities and disasters like earthquakes, floods, droughts, cyclones, pandemics, and blizzards. After disaster, they try to establish everything buildings, establishment, infrastructure, life of human, etc. like old or better. In this paper, an effort is taken to find barriers in SCM (supply chain management) during disaster and prioritize them by multicriterion decision-making electre method.

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El-Alfy, El-Sayed M., and Feras N. Al-Obeidat. "Detecting Cyber-Attacks on Wireless Mobile Networks Using Multicriterion Fuzzy Classifier with Genetic Attribute Selection." Mobile Information Systems 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/585432.

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With the proliferation of wireless and mobile network infrastructures and capabilities, a wide range of exploitable vulnerabilities emerges due to the use of multivendor and multidomain cross-network services for signaling and transport of Internet- and wireless-based data. Consequently, the rates and types of cyber-attacks have grown considerably and current security countermeasures for protecting information and communication may be no longer sufficient. In this paper, we investigate a novel methodology based on multicriterion decision making and fuzzy classification that can provide a viable second-line of defense for mitigating cyber-attacks. The proposed approach has the advantage of dealing with various types and sizes of attributes related to network traffic such as basic packet headers, content, and time. To increase the effectiveness and construct optimal models, we augmented the proposed approach with a genetic attribute selection strategy. This allows efficient and simpler models which can be replicated at various network components to cooperatively detect and report malicious behaviors. Using three datasets covering a variety of network attacks, the performance enhancements due to the proposed approach are manifested in terms of detection errors and model construction times.

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GUSARINA, NATALIYA. "MULTI-CRITERIA SELECTION ON A FINITE SET OF ALTERNATIVE MANAGEMENT OF INNOVATIVE ACTIVITY UNDER UNCERTAINTY�." Economic innovations 20, no. 1(66) (March 20, 2018): 62–68. http://dx.doi.org/10.31520/ei.2018.20.1(66).62-68.

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Topicality. The study of theoretical and practical problems of managing the economic development of enterprises on the basis of innovations is an important direction of the economic development of enterprises. The urgency of the research is determined by the need for strategic management of innovation activity in the conditions of unpredictable influences of dynamic changes in the external environment.Aim and tasks. The aim of the article is a ground of methodical receptions of multicriterion evaluation of management alternatives by innovative activity, to economic essence of criteria and areas of their applicability. During research next methods are used: game of analysis of the systems of imitation design theory. Research results. The methodical receptions of multicriterion evaluation of strategy of management of innovative activity are certain in the article an author. On the basis of the use of pay matrix the elements of that are standard deviations of fluctuations of environment and expected values from the got profit and matrix of risks, base principles of application of criteria of optimality and their economic essence are reasonable in the conditions of dynamic changes of environment. During research the areas of their applicability are set to the compromises between a maximal profit and minimum risk. It is arrived at imposing restriction on making decision about possible influences of environment and account of consequences of acceptance of groundless decisions. In the article attention is accented on the necessity of the complex use of criteria of optimality for the therms of the single generalized criterion, synthesizing the association of heterogeneous reactions on influence of environment. A chart over of organizational events is brought on the removal of vagueness and decline of risk at forming of strategies of innovative development. Conclusions. The existent criteria of evaluation of situation of cooperations of counteractive parties are analysed by means of game-theoretical models and imitation design. On results an analysis the degree of their applicability is certain to diagnostics and prognostication of economic situations in the conditions of vagueness. Practical recommendations offer on the use of criteria of optimality in different economic situations allow to choose optimal strategies of behavior at introduction of innovations in the conditions of dynamic changes of environment. The worked out analytical providing of management innovative activity is directed to on a receipt the most profit at optimal correlation of profit and risk. It is well-proven that a multicriterion choice on the finite set of alternatives allows to carry out aggregating of preferences in the choice of management strategies by innovative activity in the conditions of vagueness.

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Daneshvar Rouyendegh, Babak, Abdullah Yildizbasi, and Ümmühan Z. B. Arikan. "Using Intuitionistic Fuzzy TOPSIS in Site Selection of Wind Power Plants in Turkey." Advances in Fuzzy Systems 2018 (August 16, 2018): 1–14. http://dx.doi.org/10.1155/2018/6703798.

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The reduction of energy resources and the increase in environmental consciousness have recently increased the interest in renewable energy sources. Wind energy is from renewable energy sources, which are used in many countries. Turkey has a lot alternative wind energy plants thanks to its favorable geographical location. Where the wind power plant is to be established is a complex and important decisive factor. It is very important to select the appropriate wind power plant site to take advantage of wind energy and reduce costs. In this study, we aimed to reach the solution of wind energy plant site selection. For this purpose 4 alternative wind power plant locations have been identified. To evaluate the alternatives, 10 criteria in four dimensions including wind potential, location, cost, and social benefits are selected. Since the Multicriterion Decision Making (MCDM) methods are often used in problem of location selection from past to present, TOPSIS method combined with intuitionistic fuzzy set (IFS) has been used to achieve this goal. The main purpose of the TOPSIS method is to rank the alternatives in the worst way. The IFS are used to reflect approval, rejection, and hesitation of decision makers by dealing with real life uncertainty, imprecision, vagueness, and linguistic human decisions. Finally, a numerical example is applied for wind power plant site selection. In order to demonstrate the effectiveness of IFS, the problem is solved by the Fuzzy TOPSIS method using the same data. Then, the obtained results are compared with the IFS method to show the effectiveness of the proposed method.

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Srinivasa Raju, K., and D. Nagesh Kumar. "Ranking general circulation models for India using TOPSIS." Journal of Water and Climate Change 6, no. 2 (August 18, 2014): 288–99. http://dx.doi.org/10.2166/wcc.2014.074.

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Eleven general circulation models/global climate models (GCMs) – BCCR-BCCM2.0, INGV-ECHAM4, GFDL2.0, GFDL2.1, GISS, IPSL-CM4, MIROC3, MRI-CGCM2, NCAR-PCMI, UKMO-HADCM3 and UKMO-HADGEM1 – are evaluated for Indian climate conditions using the performance indicator, skill score (SS). Two climate variables, temperature T (at three levels, i.e. 500, 700, 850 mb) and precipitation rate (Pr) are considered resulting in four SS-based evaluation criteria (T500, T700, T850, Pr). The multicriterion decision-making method, technique for order preference by similarity to an ideal solution, is applied to rank 11 GCMs. Efforts are made to rank GCMs for the Upper Malaprabha catchment and two river basins, namely, Krishna and Mahanadi (covered by 17 and 15 grids of size 2.5° × 2.5°, respectively). Similar efforts are also made for India (covered by 73 grid points of size 2.5° × 2.5°) for which an ensemble of GFDL2.0, INGV-ECHAM4, UKMO-HADCM3, MIROC3, BCCR-BCCM2.0 and GFDL2.1 is found to be suitable. It is concluded that the proposed methodology can be applied to similar situations with ease.

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SALUKVADZE, M. E., R. SH GOGSADZE, and N. I. JIBLADZE. "TO THE FORMALIZATION OF THE ESTIMATES OF THE PHENOMENON STATE." International Journal of Information Technology & Decision Making 06, no. 04 (December 2007): 599–610. http://dx.doi.org/10.1142/s0219622007002708.

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The questions of the formalization of the estimates of the phenomenon state, which can be used in the decision-making multicriterion problems [Vector-Valued Optimization Problems in Control Theory (Academic Press, New York, 1979)] taking into account the metrics of the space of partial criteria are considered. Any phenomenon is described by some system of characteristic parameters, which values are presented by the coordinates of points in the space of states of the given phenomenon. A notion of the "ideal" state determined by optimal values of each characteristic parameter separately and independently of others is used. Estimate of any state is determined by the distance between that state and the "ideal" one. That permits to choose from a multitude of the given states the best one, to which conforms a minimum distance to the "ideal" state. In the general case of the curved space the distances are measured by geodesic lines drawn by using a metric tensor of the given space. The metric tensor components themselves are determined by the solution of the differential equations set up from the condition of minimization of a certain functional.

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Park, Juneyoung, and Mohamed A. Abdel-Aty. "Alternative Approach for Combining Multiple Crash Modification Factors Using Adjustment Function and Analytic Hierarchy Process." Transportation Research Record: Journal of the Transportation Research Board 2636, no. 1 (January 2017): 15–22. http://dx.doi.org/10.3141/2636-03.

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The safety effects of multiple treatments have recently emerged as an important issue of validation for the Highway Safety Manual procedures to improve performance of the predictive process. To estimate the combined safety effects of multiple crash modification factors (CMFs) more reliably, several combining approaches have been suggested. However, several critical issues still exist for the combining methods, such as overestimation, region-specific method, and a nonscientific approach. Therefore, this study suggests a novel adjustment method to combine multiple CMFs and to enhance the reliability of combining the safety effects of multiple treatments. Various combinations of CMFs for single and multiple treatments were estimated or obtained from previous studies and used for an exploratory analysis. Moreover, an alternative combining approach with the development of an adjustment function was suggested through comparison with the existing combining methods by using a multicriterion decision-making process. The results show that the proposed alternative combining method provides better estimates than the existing methods and can account for different roadway types and severity levels. Thus, it can be recommended that the safety effects of multiple treatments be estimated with the proposed new combining approach to overcome the overestimation issue and produce results that are more reliable.

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Hendriks, Margriet M. W. B., Jan H. de Boer, Age K. Smilde, and Durk A. Doornbos. "Multicriteria decision making." Chemometrics and Intelligent Laboratory Systems 16, no. 3 (December 1992): 175–91. http://dx.doi.org/10.1016/0169-7439(92)80036-4.

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Hao, Qinxia, Shah Nazir, Xiaoxu Gao, Li Ma, and Muhammad Ilyas. "A Review on Multicriteria Decision Support System and Industrial Internet of Things for Source Code Transformation." Scientific Programming 2021 (January 13, 2021): 1–9. http://dx.doi.org/10.1155/2021/6661272.

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The large scale increase of communication and number of devices in the Industrial Internet of Things (IIoT) has rapidly enabled practitioners to make decisions based on multicriteria. Multicriteria decision support systems (MCDSSs) play an important role in decision-making for a particular situation based on several criteria. Making of decision based on multicriteria is the main issues for research community and practitioners of the IIoT. Several decision support systems (DSSs) are offered for making decisions which have the potentiality to support the activities of the decision-making process. The suggested study shows a review on the existing decision support systems for the IIoT for source code transformation which will enable research community and practitioners of the industry to use the existing methods, tools, approaches, and techniques and to provide novel solutions for the smooth industry of Internet of Things.

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Limayem, Moez, and Gerardine DeSanctis. "Providing Decisional Guidance for Multicriteria Decision Making in Groups." Information Systems Research 11, no. 4 (December 2000): 386–401. http://dx.doi.org/10.1287/isre.11.4.386.11874.

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Yager, R. R. "Modeling Prioritized Multicriteria Decision Making." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 34, no. 6 (December 2004): 2396–404. http://dx.doi.org/10.1109/tsmcb.2004.837348.

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Hum Tchemra, Angela. "Adaptivity in Multicriteria Decision Making." IEEE Latin America Transactions 9, no. 2 (April 2011): 160–70. http://dx.doi.org/10.1109/tla.2011.5765569.

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Novikova, Natalia M., and Irina I. Pospelova. "Multicriteria decision making under uncertainty." Mathematical Programming 92, no. 3 (May 1, 2002): 537–54. http://dx.doi.org/10.1007/s101070100289.

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Kottemann, Jeffrey E., and Fred D. Davis. "Decisional Conflict and User Acceptance of Multicriteria Decision-Making Aids." Decision Sciences 22, no. 4 (September 1991): 918–26. http://dx.doi.org/10.1111/j.1540-5915.1991.tb00371.x.

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Gogodze, Joseph. "Ranking Methods for Multicriteria Decision-Making: Application to Benchmarking of Solvers and Problems." Scientific Programming 2021 (July 11, 2021): 1–14. http://dx.doi.org/10.1155/2021/5513860.

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Evaluating the performance assessments of solvers (e.g., for computation programs), known as the solver benchmarking problem, has become a topic of intense study, and various approaches have been discussed in the literature. Such a variety of approaches exist because a benchmark problem is essentially a multicriteria problem. In particular, the appropriate multicriteria decision-making problem can correspond naturally to each benchmark problem and vice versa. In this study, to solve the solver benchmarking problem, we apply the ranking-theory method recently proposed for solving multicriteria decision-making problems. The benchmarking problem of differential evolution algorithms was considered for a case study to illustrate the ability of the proposed method. This problem was solved using ranking methods from different areas of origin. The comparisons revealed that the proposed method is competitive and can be successfully used to solve benchmarking problems and obtain relevant engineering decisions. This study can help practitioners and researchers use multicriteria decision-making approaches for benchmarking problems in different areas, particularly software benchmarking.

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Durmus, Hasan, and Mehmet Nuri İnel. "Comparing Aras and Copras Methods to Evaluate Firms By Using Fundamental Analysis." International Journal of Social, Political and Economic Research 7, no. 2 (June 2, 2020): 214–30. http://dx.doi.org/10.46291/ijospervol7iss2pp214-230.

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Decision making process is a though process not only for the management decisions but also for daily decisions. Multicriteria decision making methods were developed to make this process easier. There are many multicriteria decision making methods used in many areas at the present. In this study two of these methods were used, namely ARAS (Additive Ratio Assessment) and COPRAS (Complex Proportional Assessment), for fundamental analysis in investment decisions. Aim of this study is to implement and compare methods on fundamental analysis of firms to make an investment decision. In the study financial ratios of 20 firms from 5 different sectors and 4 different countries, sectoral data and country indicators were used. According to these data, ARAS and COPRAS methods were implemented and although exactly same results were not found, approximately similar results were obtained. The best and the worst companies were same for both methods, even though other rankings differed slightly. Also, same sector selected as best for both methods to invest in.

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Liang, Liang, Ren Yan Jiang, and Yin Liang. "A Multicriteria Decision Method with Uncertain Information in Financial Credit Loan Decision-Making." Applied Mechanics and Materials 52-54 (March 2011): 1868–72. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1868.

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It is difficult to obtain the correct criteria weights with uncertain information in the multicriteria decision-making. Many methods depend on the subjective estimate. Therefore, a method is presented to evaluate the samples ranking only need the importance order of criteria. It evaluates firstly the overall ranking scores of samples based on the graphical classification and multicriteria hierarchical integrated methods. Subsequently, the relation model between the criteria scores and overall ranking scores of samples is built by linear regression. Finally, a fincial credit loan decision-making problem is presented to describe the way of the multicriteria decisiion making process. The analysis to compare with the AHP method illustrates the proposed method is objective and effective.

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Gurbuz, Feyza. "Strategy development with SWOT analysis on manufacturing companies in rapid growth: A ceramic industry application." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 10 (January 12, 2018): 01–12. http://dx.doi.org/10.18844/prosoc.v4i10.3083.

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Decision-making is important for organisations, since the consequences of given decisions are identified among the major risk factors for organisations’ future. This study aims to prove the importance of using combined decision-making methods for a successful decision-making for managers. In a ceramics company, multi-criteria decision-making processes were applied for taking quick action for future strategies. SWOT analysis was used for determining potential strategies. After then, multicriteria decision-making methods were used to determine the importance of each potential strategy. Keywords: Multi-criteria decision-making, SWOT analysis, strategy management.

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Mitkus, Sigitas, and Eva Trinkūnienė. "MODELS OF INDICATOR SYSTEMS OF CONSTRUCTION CONTRACTION AGREEMENTS." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 12, no. 4 (December 31, 2006): 327–35. http://dx.doi.org/10.3846/13923730.2006.9636410.

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A number of multicriteria decisions must be made during construction investment processes. A number of support systems for multicriteria tasks of construction investment processes are available. A part of them is reviewed in this article. Effectiveness of the construction investment process is greatly influenced by an appropriate formulation of a construction contraction agreement (CCA). In order to formulate the effective contraction agreements, multicriteria techniques for evaluating and comparing CCAs must be created. Besides technical, organisational and economic aspects of construction, legal aspects of a CCA must be also analysed in order to prepare such techniques. Therefore, legal decision making systems are also reviewed in the article. A conclusion can be made from the review that legal decision making systems for CCAs are not available currently. One of the main tasks in the creation of multicriteria support systems is the formation of a multicriteria indicator system. Three models of multicriteria indicator systems of CCAs are analysed in the article, and the best model for creating multicriteria evaluation technique is determined. On the basis of this model, significance of indicators should be determined and a multicriteria decision support system should be created in further research stages.

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Journal articles on the topic 'Multicriterion Decision Making'

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