An Interaction Consensus in Group Decision Making Under Distributed Linguistic Trust Information

被引：1

作者：

Dai, Lifang ^{[1
]}

Wu, Jian ^{[1
,2
]}

Chiclana, Francisco ^{[3
]}

Fujita, Hamido ^{[4
]}

Herrera-Viedma, Enrique ^{[5
,6
]}

机构：

[1] Zhejiang Normal Univ, Jinhua, Peoples R China

[2] Shanghai Maritime Univ, Shanghai 201306, Peoples R China

[3] De Montfort Univ, Fac Technol, Ctr Computat Intelligence, Leicester, Leics, England

[4] Iwate Prefectural Univ, Takizawa, Iwate, Japan

[5] Univ Granada, Dept Comp Sci & Artificial Intelligence, Granada, Spain

[6] King Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia

来源：

NEW TRENDS IN INTELLIGENT SOFTWARE METHODOLOGIES, TOOLS AND TECHNIQUES | 2017年 / 297卷

基金：

中国国家自然科学基金;

关键词：

Group Decision Making; Consensus; Feedback Mechanism; Distributed Linguistic Trust; FUZZY PREFERENCE RELATIONS; FEEDBACK MECHANISM; SOCIAL NETWORK; CONSISTENCY; MODEL;

D O I：

10.3233/978-1-61499-800-6-512

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A theoretical interaction consensus model in group decision making with distributed linguistic trust information is proposed. To do that, the concept of distributed linguists trust function (DLTF) is defined, and then the associated operational laws and aggregation operations are explored. Combing the expectation degree and uncertainty degrees, a ranking method for distributed linguists trust function is proposed. To identify the inconsistent experts, three levels of consensus degree with DLTF are calculated. After that, a novel feedback mechanism is activated to generate recommendation advices for the inconsistent experts to higher consensus degree. Therefore, the inconsistent experts are able to reach the threshold value of group consensus. Finally, after consensus has been achieved, a ranking order relation for distributed linguists trust functions is constructed to select the most appropriate alternative.

引用

页码：512 / 524

页数：13

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