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A Proxy Approach to Multi-Attribute Decision Making
Management Science, 1978This paper combines two rival preference modeling techniques in a new approach to multi-attribute decision making. Currently existing multi-attribute procedures use either global or local preference modeling. In the global modeling technique, a single preference function is constructed in the large; its maximum is the optimal alternative. In the local
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Multi-attribute decision making by consumers associations
European Journal of Operational Research, 1986Abstract Many consumers associations provide their readers with comparative tests in their magazines. In this paper, three multiple criteria decision methods are compared on 49 sets of products in order to study the coherence and the stability of the results.
Marc Despontin +2 more
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Research on Hybrid Multi-Attribute Decision-Making
2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2016Multiple attribute decision-making method based ongrey incidence for hybrid multiple attribute decision-making problems with real number, interval number, triangular fuzzy number, intuitionistic fuzzy number and uncertain linguistic variables is proposed.
Guidong Sun, Xin Guan
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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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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 Military Decision-Making
2019The Department of Homeland Security (DHS) only has a limited number of assets and a finite amount of time to conduct investigations, thus DHS must establish priorities for its investigations. The risk assessment office has collected the data for the morning meeting shown in Table 5.1.
William P. Fox, Robert Burks
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On multi-period multi-attribute decision making
Knowledge-Based Systems, 2008Multiple attribute decision making (MADM) is an important part of modern decision science. It has been extensively applied to various areas such as society, economics, military, management, etc., and has been receiving more and more attention over the last decades.
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Probability numbers for multi-attribute decision-making
Journal of Intelligent & Fuzzy SystemsIn the face of increasingly complex data forms and decision-making problems, the uncertainty of information poses a major challenge to multi-attribute decision-making methods. How to effectively organize information and serve realistic decision-making problems has attracted extensive attention in the academic circles.
Weng, Shizhou +2 more
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APPROACHES TO MULTI-STAGE MULTI-ATTRIBUTE GROUP DECISION MAKING [PDF]
Multi-stage multi-attribute group decision making (MS-MAGDM) as a familiar decision activity that usually occurs in our daily life, such as multi-stage investment decision making, medical diagnosis, personnel dynamic examination, military system efficiency dynamic evaluation, etc. The aim of this paper is to investigate MS-MAGDM problems in which both
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Multi-Attribute Decision Making in Risk Analysis
2016Multi-Attribute Decision Making (MADM) is commonly used when we are comparing more than two courses of actions or alternatives based upon many selected criteria. This chapter presents methodologies to conduct MADM analysis for risk analysis and risk assessment across a variety of topics.
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