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An enhanced fuzzy credibility bidirectional projection based multi-attribute group decision making and its application in sports equipment supplier selection. [PDF]

Sci Rep
Liu L.
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Research on complex financial decision making driven by geometric aggregation and intelligent optimization of high-dimensional expert information. [PDF]

Sci Rep
Qian Y, Qiu J, Li C, Liu Y, Niu M, Chen S.   +5 more
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FIOWHM operator and its application to multiple attribute group decision making

Expert Systems With Applications, 2011
To study the problem of multiple attribute decision making in which the decision making information values are triangular fuzzy number, a new group decision making method is proposed. Then the calculation steps to solve it are given. As the key step, a new operator called fuzzy induced ordered weighted harmonic mean (FIOWHM) operator is proposed and a ...
Gui-Wu Wei
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An interactive method for fuzzy multiple attribute group decision making

Information Sciences, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jian Chen
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A taxonomy for multiple attribute group decision making literature

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015
The research activities on group decision making has dramatically increased in last decade. Especially the application of multiple attribute decision making methods to group decision making problems occupies a vast area in the related literature. However there is no systematical classification scheme for these researches. This paper presents a taxonomy
Bilal Ervural, Özgür Kabak
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Multiple attributes group decision making under fuzzy environment

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004
Under the circumstance that opinions of members or group decision making are assumed as positive fuzzy numbers, the authors propose a new approach to aggregate the experts' opinions based on a measure near degree and an absolute value of expectation difference of fuzzy numbers.
Ji-bin Lan, Yang Xu 0001, Jia-Zhong Liu
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IFPBMs and their application to multiple attribute group decision making

Journal of the Operational Research Society, 2016
The Bonferroni mean (BM) had been generalized for its capacity to capture the interrelationship between input arguments. In order to obtain much more information in the process of group decision making, especially in the cases that the relationships between the fused data are considered, this paper combines the power average operator with the ...
Yingdong He, Zhen He 0001, Yujia Deng, Panpan Zhou   +3 more
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Hybrid multiple attribute group decision-making for power system restoration

Expert Systems with Applications, 2015
Hybrid MADM method for backbone-network reconfiguration in restoration.Mathematical programming for combining different forms of preference relations.Extend VIKOR for crisp data, fuzzy numbers, interval numbers and linguistic terms.Sensitivity analysis on weights of attributes for guiding the decision-making.
Pengbo Sun, Yutian Liu, Xizhao Qiu, Liang Wang   +3 more
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A GROUP GAME OF MULTIPLE ATTRIBUTE DECISION MAKING

Asia-Pacific Journal of Operational Research, 2007
Multiple Attribute Decision Making (MADM) problem is a management science technique, which is popularly used to rank the priority of alternatives with respect to their competing attributes. It is popularly used in diverse fields such as engineering management, portfolio selection, transportation planning, and performance evaluation.
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An automatic approach to reaching consensus in multiple attribute group decision making

Computers and Industrial Engineering, 2009
In this work, we consider the problem of consensus of multiple attribute group decision making, and develop an automatic approach to reaching consensus among group opinions. In the process of group decision making, each expert provides his/her preferences over the alternatives with respect to each attribute, and constructs an individual decision matrix.
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