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Group decision making with multi-attribute interval data
Information Fusion, 2013The aim of this paper is to present a group decision making methodology, in which the decision information, including the attribute values, attribute weights and weights of decision makers, is expressed in interval data. An extended TOPSIS technique is twice used in the proposed method, which is first used to determine the weights of decision makers ...
Zhongliang Yue
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Dynamic intuitionistic fuzzy multi-attribute decision making
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Zeshui Xu, Ronald R Yager
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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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An Approach of Multi-attribute Group Decision Making
Proceedings of the 2019 3rd International Conference on Cloud and Big Data Computing, 2019The main purpose of this paper is to determine the weights of attributes and decision makers (DMs) in multi-attribute group decision making (MAGDM) with interval grey numbers. Firstly, decision matrices are adjusted using the kernels of interval grey numbers to reduce the psychological effects of decision makers. Additionally, the comprehensive weights
Sandang Guo, Guolin Tang, Xiaoyan Chen
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MULTI-ATTRIBUTE DECISION MAKING BASED ON LABEL SEMANTICS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008We 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 ...
Jonathan Lawry, Hongmei He
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Multi-attribute decision making with generalized fuzzy numbers
Journal of the Operational Research Society, 2015This paper proposes a multi-attribute decision-making method with generalized fuzzy numbers (GFNs). In the proposed method, the distance between GFNs is calculated using the Hausdorff distance. Based on the maximizing deviation degree, the attribute weights are determined by a linear programming model.
Guangxu Li +4 more
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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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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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Novel Method of Hybrid Multi-Attribute Decision Making
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008This paper studies the problem of hybrid multi-attribute decision making which integrates with precision numbers, interval numbers and fuzzy numbers. Based on the grey relative degree, a novel decision making method is presented. Then a decision making example is given to demonstrate the feasibility and rationality of this new method.
Cheng Wang, Huanbin Liu, Ping Li
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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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