An alternative core information of hesitant fuzzy linguistic term sets for linguistic decision making

被引：0

作者：

Ren, Fangling ^{[1
]}

Qiao, Ying ^{[2
]}

Kong, Mingming ^{[2
]}

Pei, Zheng ^{[2
]}

机构：

[1] Yanan Univ, Coll Math & Comp Sci, Yanan, Shaanxi, Peoples R China

[2] Xihua Univ, Ctr Radio Adm & Technol Dev, Chengdu 610039, Sichuan, Peoples R China

来源：

DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT | 2018年 / 11卷

基金：

中国国家自然科学基金;

关键词：

Linguistic decision making; 2-tuple linguistic model; hesitant fuzzy linguistic term sets; t-norms; t-conorms; NORMS; MODEL;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The core information of hesitant fuzzy linguistic term sets is an important concept in hesitant fuzzy linguistic decision making, which is decided by \min and \max operators on hesitant fuzzy linguistic term sets. In the paper, we first provide t-norms and t-conorms on hesitant fuzzy linguistic term sets and discuss their properties. Then, we propose an alternative core information of hesitant fuzzy linguistic term sets based on t-norms and t-conorms. Finally, we utilize the new core information of hesitant fuzzy linguistic term sets for hesitant fuzzy linguistic decision making. We provide an example to illustrate the practicality of the new core information and comparison with the classical core information of hesitant fuzzy linguistic term sets, it seems that the new core information based on t-norms and t-conorms may be an alternative tool for hesitant fuzzy linguistic decision making.

引用

页码：243 / 251

页数：9

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