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Robustness of Additive Value Function Methods in MCDM
Journal of Multi‐Criteria Decision Analysis, 1996Summary: A simulation model is constructed of choice between a discrete number of non-dominated alternatives. The long-run goals of the decision maker are assumed to be consistent with a hypothetical preference structure which satisfies assumptions of completeness, transitivity and additive independence for an ideal set of criteria. The use of additive
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Pythagorean Fuzzy MCDM Method Based on CODAS
2021As an extension of intuitionistic fuzzy set (IFS), Pythagorean fuzzy set (PFS) is more appropriate for seizing the uncertainty of preference information. This paper is designed to set a novel approach based on CODAS (COmbinative Distance-based ASsessment) for dealing multi-criteria decision-making (MCDM) problem under Pythagorean fuzzy environment.
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Smart container evaluation by neutrosophic MCDM method
Journal of Intelligent & Fuzzy Systems, 2019The Industrial Revolution, which started with steam machines, has evolved into intelligent systems in which objects speak to each other in the name of Industry 4.0. Smart containers (SC), which are the latest in this evolution of containers and one of the key elements of logistic in Supply Chain Management System (SCMS), stand out with their ...
Yörükoğlu, Mehmet, Aydın, Serhat
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Transportation system Analysis of MCDM ARAS method
REST Journal on Emerging trends in Modelling and Manufacturing, 2016A transport system is defined as a combination of elements and their interactions that provide services to create the need to travel within a specific area and to meet this request. This definition is general and flexible to suit different contexts.
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Comparing Cardinal and Ordinal Ranking in MCDM Methods
2022There are several MCDM methods attempting to elicit criteria weights, ranging from direct rating and point allocation methods to more elaborated ones. To facilitate the weight elicitation, some of the approaches utilize elicitation methods whereby prospects are ranked using ordinal importance information, while others use cardinal information.
Danielson, M., Ekenberg, L.
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MCDM Methods: Modelling, Feasibility, and Sensitivity Analysis
2021This chapter addresses mathematical modelling, probably the most important aspect in MCDM, which unfortunately has received little attention from researchers and scholars. It is followed by another issue that was scarcely treated, if ever, related to feasibility of a given scenario and reflected in the initial decision matrix (the model).
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Assessment of Hydrogen Mobility utilising MCDM method
REST Journal on Emerging trends in Modelling and Manufacturing, 2022Hydrogen mobility project in leh it is a pilot project lay five fuel cell buses and being driven around it aims to this project for general use in India fuel cell electric vehicles the first is deployment. hydrogen mobility projects world all started. Hydrogen fuel it up to demonstrate reliability vehicles and refuelling for planning the introduction ...
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MCGL: a new reference dependent MCDM method
International Journal of Operational Research, 2019This paper proposes a method for discrete alternative multi-criteria decision making (MCDM) under certainty. The proposed method (multi-criteria gain loss: MCGL) is based upon the tenets of prospect theory and norm theory. The two major objectives for the development of the MCGL method are: 1) to reduce the complexity of the MCDM in order to improve ...
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Methods and Problems in Discrete MCDM
1992Using the instrument of multicriteria optimization for decision making we have to note that the “solution” of the problem is in general not a single one. In this paper some aspects are discussed, such as how to manage an interactive procedure even if the subproblems are of N9-hard complexity.
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Solving MCDM problems with the skeleton method
Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics, 2002The author presents a new method for solving multiple criteria decision making (MCDM) problems that is based on the skeleton concept of optimality. The theoretical foundations of the skeleton method are presented. The MCDM problem is formulated and the concept of optimality of the skeleton method is explained. Given upper and lower aspiration levels in
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