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A peer-to-peer dynamic adaptive consensus reaching model for the group AHP decision making

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成果类型:
期刊论文
作者:
Dong, Qingxing*;Cooper, Orrin
通讯作者:
Dong, Qingxing
作者机构:
[Dong, Qingxing] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
[Cooper, Orrin] Univ Memphis, Fogelman Coll Business & Econ, Memphis, TN 38152 USA.
通讯机构:
[Dong, Qingxing] C
Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Consensus reaching;Group decision making;The Analytic Hierarchy Process (AHP);Weight determination
期刊:
European Journal of Operational Research
ISSN:
0377-2217
年:
2016
卷:
250
期:
2
页码:
521-530
基金类别:
The authors would like to express their sincere thanks to the editors and the anonymous reviewers for their insightful comments, suggestions and detailed feedback. In addition, this research was financially supported by the National Natural Science Foundation of China (Nos. 71501080, 71572184, 71471073, and 71471074), and the self-determined research funds of CCNU from the colleges'' basic research and operation of MOE (Nos. CCNU15A05050, CCNU14Z02016).
机构署名:
本校为第一且通讯机构
院系归属:
信息管理学院
摘要:
Consensus reaching models are widely applied in group decision making problems to improve the group's consensus level before making a common decision. Within the context of the group Analytic Hierarchy Process (AHP), a novel consensus reaching model in a dynamic decision environment is proposed. A Markov chain method can be used to determine the decision makers' weights of importance for the aggregation process with respect to the group members' opinion transition probabilities. The proposed group consensus reaching model facilitates a peer to peer opinion exchange process which relieves the g...

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