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
收藏
页码：22 / 34
页数：13
相关论文
共 47 条
[1]  
[Anonymous], J APPL MATH COMPUT
[2]   Comparisons of probabilistic linguistic term sets for multi-criteria decision making [J].
Bai, Chengzu ;
Zhang, Ren ;
Qian, Longxia ;
Wu, Yaning .
KNOWLEDGE-BASED SYSTEMS, 2017, 119 :284-291
[3]   Group multi-criteria decision making based upon interval-valued fuzzy numbers: An extension of the MULTIMOORA method [J].
Balezentis, Tomas ;
Zeng, Shouzhen .
EXPERT SYSTEMS WITH APPLICATIONS, 2013, 40 (02) :543-550
[4]   TOPSIS for Hesitant Fuzzy Linguistic Term Sets [J].
Beg, Ismat ;
Rashid, Tabasam .
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2013, 28 (12) :1162-1171
[5]   MULTIMOORA FOR THE EU MEMBER STATES UPDATED WITH FUZZY NUMBER THEORY [J].
Brauers, Willem K. M. ;
Balezentis, Alvydas ;
Balezentis, Tomas .
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2011, 17 (02) :259-290
[6]   Multimoora Optimization Used to Decide on a Bank Loan to Buy Property [J].
Brauers, Willem Karel M. ;
Zavadskas, Edmundas Kazimieras .
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2011, 17 (01) :174-188
[7]   PROJECT MANAGEMENT BY MULTIMOORA AS AN INSTRUMENT FOR TRANSITION ECONOMIES [J].
Brauers, Willem Karel M. ;
Zavadskas, Edmundas Kazimieras .
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2010, 16 (01) :5-24
[8]  
Chen Zhen-song, 2014, Control and Decision, V29, P1053, DOI 10.13195/j.kzyjc.2013.0305
[9]   Student selection and assignment methodology based on fuzzy MULTIMOORA and multichoice goal programming [J].
Deliktas, Derya ;
Ustun, Ozden .
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 2017, 24 (05) :1173-1195
[10]   Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information [J].
Dong, Yucheng ;
Li, Cong-Cong ;
Herrera, Francisco .
INFORMATION SCIENCES, 2016, 367 :259-278
12345