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Linguistic multi-attribute decision making with multiple priorities
Computers & Industrial Engineering, 2017Abstract Linguistic multi-attribute decision making (MADM) problems have received many attentions in theoretical and practical aspects. It is well known that center of the linguistic MADM is the aggregation of fuzzy linguistic information. As one widely used type of aggregation operators, the importance weighted aggregation assumes that all the ...
Hong-Bin Yan, Xueqing Zhang, Yashuai Li
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A compromised approach to multi-attribute decision making in IF-sets
2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010The aim of this paper is to extend the VIKOR method to an intuitionistic fuzzy compromise approach to multi-attribute decision making (MADM) in intuitionistic fuzzy (IF) sets. The VIKOR method presumes crisp data while fuzziness is inherent in decision information and decision making process.
Xudong Miao, Yongchun Wang, Demin Xu
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Multi-attribute decision-making in macaques relies on direct attribute comparisons
2023Abstract In value-based decisions, there are frequently multiple attributes, such as cost, quality, or quantity, that contribute to the overall goodness of an option. Since one option may not be better in all attributes at once, the decision process should include a means of weighing relevant attributes.
Aster Q. Perkins +2 more
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Multi-attribute decision making with dynamic weight allocation
Intelligent Decision Technologies, 2014This paper tries to solve the multiple attributes decision-making problems with dynamic weight allocation. It is difficult to represent decision maker's subjectivity if we use only objective method in the whole decision-making process. Because of the complexity of attribute weight allocation, it could not reflect the objective essence only based on ...
Hongqiang Jiao, Shuangyou Wang
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Multi-attribute decision making: dominance with respect to an importance order of the attributes
Applied Mathematics and Computation, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yakowitz, D. S. +2 more
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Multi-attribute decision making using constrained criteria
Computers & Operations Research, 1977Abstract A previous paper discussed a constrained-decision-criteria approach to multiple criteria decision making in a uni-attribute framework. This paper illustrates the extension of that approach to the multi-attribute case. In contrast to the usual methods employed with multiple attributes, the extension avoids amalgamation and preserves the ...
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Preorder Information Based Attributes' Weights Learning in Multi-attribute Decision Making
Fundamenta Informaticae, 2014Choquet integral, as an adequate aggregation operator, extends the weighted mean operator by considering interactions among attributes. Choquet integral has been widely used in many real multi-attribute decision making. Weights (fuzzy measures) of attribute sets directly affect the decision results in multi-attribute decision making.
Baoli Wang, Jiye Liang, Yuhua Qian
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Fuzzy Random Multi-attribute Decision Making Method
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008Fuzziness and randomness are two key aspects of uncertainty. During decision making process, it is a normal situation that fuzzy and random variables appear simultaneously. Fuzzy random multi-attribute decision making (FRMADM) is to select the best alternative or rank alternatives among limited feasible alternatives, under fuzzy and random conditions ...
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On the Exams of a Multi-Attribute Decision Making Electronic Course
2007This paper gives brief information about a new electronic course for enhanced learning in making optimal decisions using the Multi-Attribute Decision Making paradigm. Emphasis is put on the construction of the exams of this electronic course. In order to provide ready to use tests for students' exams, an algorithm based on a Monte Carlo method was ...
Cornel Resteanu +2 more
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Varying Weights in Multi-Attribute Decision Making
Volume 4: 20th International Conference on Design Theory and Methodology; Second International Conference on Micro- and Nanosystems, 2008Extreme cases that contain either extremely high or pretty low preference attribute(s) are investigated for multi-attribute decision making problems. Normal cases occur most of the time, and many existing methods have been developed to support the decision making in such scenarios.
Yuming Qiu, Ping Ge, Joseph F. Junker
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