Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures

被引：286

作者：

Gou, Xunjie ^{[1
]}

Liao, Huchang ^{[1
]}

Xu, Zeshui ^{[1
]}

Herrera, Francisco ^{[2
,3
]}

机构：

[1] Sichuan Univ, Business Sch, Chengdu 610064, Peoples R China

[2] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain

[3] King Abdulaziz Univ, Fac Comp & Informat Technol, Jeddah, Saudi Arabia

来源：

INFORMATION FUSION | 2017年 / 38卷

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Multiple criteria decision making; Double hierarchy linguistic term sets; Double hierarchy hesitant fuzzy linguistic term sets; MULTIMOORA method; Haze controlling measures; GROUP DECISION-MAKING; PREFERENCE RELATIONS; INFORMATION FUSION; CONSISTENCY; ENVIRONMENT; CONSENSUS; AGGREGATION; SIMILARITY; MODEL; RISK;

D O I：

10.1016/j.inffus.2017.02.008

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In recent years, hesitant fuzzy linguistic term sets (HFLTSs) have been studied by many scholars and are becoming gradually mature. However, some shortcomings of HFLTS also emerged. To describe the complex linguistic terms or linguistic term sets more accurately and reasonably, in this paper, we introduce the novel concepts named double hierarchy linguistic term set (DHLTS) and double hierarchy hesitant fuzzy linguistic term set (DHHFLTS). The operational laws and properties of the DHHFLTSs are developed as well. Afterwards, we investigate the multiple criteria decision making model with double hierarchy hesitant fuzzy linguistic information. We develop a double hierarchy hesitant fuzzy linguistic MULTIMOORA (DHHFL-MULTIMOORA) method to solve it. Furthermore, we apply the DHHFL-MULTIMOORA method to deal with a practical case about selecting the optimal city in China by evaluating the implementation status of haze controlling measures. Some comparisons between the DHHFL-MULTIMOORA method and the hesitant fuzzy linguistic TOPSIS method are provided to show the advantages of the proposed method. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：22 / 34

页数：13

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