A New Aggregating Operator for Linguistic Information Based on D Numbers

被引：60
|
作者：
Mo, Hongming [1 ,2 ]
Deng, Yong [1 ,3 ,4 ,5 ]
机构：
[1] Southwest Univ, Sch Comp & Informat Sci, Chongqing 400715, Peoples R China
[2] Sichuan Minzu Coll, Lib, Kangding 626001, Sichuan, Peoples R China
[3] Sch Elect & Informat Engn, Inst Integrated Automat, Xian 710049, Shaanxi, Peoples R China
[4] Xi An Jiao Tong Univ, Xian 710049, Shaanxi, Peoples R China
[5] Univ Elect Sci & Technol China, Inst Fundamental & Frontier Sci, Chengdu 610054, Peoples R China
来源：
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS | 2016年 / 24卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Aggregating operator; decision making; Dempster-Shafer evidence theory; belief function; D numbers; linguistic information; DEMPSTER-SHAFER THEORY; DECISION-MAKING; DISTANCE MEASURES; FUZZY; OPTIMIZATION; AVERAGE; FUSION; MODEL;
D O I：
10.1142/S0218488516500379
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
How to efficiently make decision under uncertain is a hot research topic. In this paper, a new aggregating operator for linguistic decision making based on D numbers is proposed. D numbers is a new mathematic tool to model uncertainty, since it ignores the condition that elements on the frame must be mutually exclusive. Compared with these existing aggregating operators, the new method is clear, concise and less computational complexity. A numerical example is used to demonstrate the effectiveness of the proposed method.
引用
收藏
页码：831 / 846
页数：16
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