An Improved Consensus-Based Model for Large Group Decision Making Problems Considering Experts with Linguistic Weighted Information

2019 ◽  
Vol 28 (3) ◽  
pp. 619-640 ◽  
Author(s):  
Pei Wang ◽  
Xuanhua Xu ◽  
Shuai Huang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Large Group

A large group decision-making method and its application to the evaluation of property perceived service quality

2019 ◽  
Vol 37 (1) ◽  
pp. 1513-1527 ◽  
Author(s):  
Wen-Jin Zuo ◽  
Deng-Feng Li ◽  
Gao-Feng Yu ◽  
Li-Ping Zhang
Keyword(s):  
Decision Making ◽  
Service Quality ◽  
Group Decision Making ◽  
Group Decision ◽  
Perceived Service Quality ◽  
Large Group

scholarly journals Information entropy risk measure applied to large group decision-making method

2018 ◽  
Vol 23 (13) ◽  
pp. 4987-4997 ◽  
Author(s):  
Xuan-hua Xu ◽  
Xintong Luo
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Information Entropy ◽  
Group Decision ◽  
Risk Measure ◽  
Large Group

scholarly journals A Multi-Agent Linguistic-Style Large Group Decision-Making Method Considering Public Expectations

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Gui-ju Zhu ◽  
Chen-guang Cai ◽  
Bin Pan ◽  
Pei Wang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Method Comparison ◽  
Linguistic Style ◽  
The Public ◽  
Large Group ◽  
Public Expectations ◽  
Multi Agent ◽  
Decision Alternatives

AbstractFocusing on the characteristics of public participation and large group decision making of major livelihood projects, this paper proposes a multi-agent linguistic-style large group decision-making method with the consideration of public expectations. Firstly, based on the discrimination degree of evaluating information, the comprehensive weight of each attribute is calculated with the principle of maximum entropy. Secondly, the expert preference information for different alternatives is clustered and several aggregations are formed. Thirdly, the preference conflict level of experts' group for each alternative is calculated, and a conflict-oriented experts' aggregation weight optimization model is constructed to ensure the effectiveness of conflict resolution. Fourthly, the public group's satisfaction is determined with the expectation distribution of public’s and the expert group's preference, so as to obtain the sorting result of the decision alternatives. Finally, the effectiveness and applicability of the proposed method are verified by method comparison.

A two-stage similarity clustering-based large group decision-making method with incomplete probabilistic linguistic evaluation information

2020 ◽  
Vol 24 (22) ◽  
pp. 16869-16883
Author(s):  
Xuanhua Xu ◽  
Yuzhou Hou ◽  
Jishan He ◽  
Zitao Zhang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Two Stage ◽  
Large Group ◽  
Evaluation Information
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