An optimization-based approach to estimate the range of consistency in hesitant fuzzy linguistic preference relations

被引：0
|
作者：
Li, Cong-Cong [1 ]
Dong, Yucheng [1 ]
Herrera, Francisco [2 ,3 ]
Martinez, Luis [4 ]
机构：
[1] Sichuan Univ, Sch Business, Chengdu 610065, Peoples R China
[2] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain
[3] King Abdulaziz Univ, Fac Comp & Informat Technol, North Jeddah 21589, Saudi Arabia
[4] Univ Jaen, Dept Comp Sci, Jaen 23071, Spain
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) | 2016年
关键词：
hesitant; linguistic preference relations; optimization; consistency; GROUP DECISION-MAKING; TERM SETS; MODEL; ASSESSMENTS; METHODOLOGY; INFORMATION; 2-TUPLES; WORDS;
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 study of consistency is a very important problem in decision making using preference relations. This paper focuses on measuring the consistency of hesitant fuzzy linguistic preference relations (HFLPRs). In this paper we propose the optimization-based approach to estimate the range of consistency degree in a HFLPR. The underlying idea of the proposed approach consists in measuring the pessimistic consistency index (PCI) of HFLPRs, and also the optimistic consistency index (OCI) of HFLPRs. The PCI of HFLPRs is determined by its linguistic preference relation with the worst consistency degree, and the OCI of HFLPRs is determined by its linguistic preference relation with the best consistency degree. Furthermore, numerical examples are provided to show the use of the proposed consistency measure.
引用
收藏
页码：864 / 871
页数：8
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