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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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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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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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Introduction to Multi-attribute Decision Making in Business Analytics
2014Multi-attribute decision making (MADM) is commonly used when we are comparing more than two courses of actions or alternatives based upon many selected criteria. In this chapter, we present methodologies to conduct MADM analysis. These methodologies include data envelopment analysis (DEA), simple additive weighting (SAW), analytical hierarchy process ...
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A handbook on multi-attribute decision-making methods
2021Clear and effective instruction on MADM methods for students, researchers, and practitioners. A Handbook on Multi-Attribute Decision-Making Methods describes multi-attribute decision-making (MADM) methods and provides step-by-step guidelines for applying them.
Bozorg-Haddad, Omid +2 more
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