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Context effect in multi-attribute decision making

The Proceedings of the Annual Convention of the Japanese Psychological Association, 2011
Naohiro OBATA, Tetsuo TAKIGAWA
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MULTI-ATTRIBUTE DECISION MAKING BASED ON LABEL SEMANTICS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008
We propose label semantics as an integrated representation framework for probabilistic uncertainty and fuzziness in multiple-attribute decision making problems. Linguistic attribute hierarchies are then introduced as a means of modelling the complex and often imprecise functional relationships between low-level attributes or measurements and high ...
Lawry, Jonathan, He, Hongmei
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Make vs. buy decisions: A process incorporating multi-attribute decision-making

International Journal of Production Economics, 2002
Abstract The need for companies to develop consistent and competitive manufacturing strategies is now well established. A fundamental question in the development of a manufacturing strategy is the determination of what the company will make and what it will buy, i.e. the make vs. buy (MvB) decision.
K.W. Platts, D.R. Probert, L. Cáñez
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Multi-attribute Decision-Making Support System

2019
This chapter presents three multi-attribute decision-making support methods, i.e., an improved entropy weight method, evidential reasoning, and interval evidential reasoning. The decision-making methods based on ER and IER approaches are used to determine a final optimal solution from the Pareto-optimal solutions obtained by multi-objective ...
Qing-Hua Wu, Jiehui Zheng, Zhaoxia Jing, Xiaoxin Zhou   +3 more
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A Proxy Approach to Multi-Attribute Decision Making

Management Science, 1978
This 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, 1986
Abstract 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, Filippe Lehert, Marc Roubens   +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), 2016
Multiple 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, 2008
Extreme 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, 2008
Fuzziness 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

2019
The 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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