Pairwise Comparison and Distance Measure of Hesitant Fuzzy Linguistic Term Sets | Zendy

Hanchen Huang | Zendy; Xiaojun Yang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Pairwise Comparison and Distance Measure of Hesitant Fuzzy Linguistic Term Sets

Author(s) -

Hanchen Huang,

Xiaojun Yang

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/954040

Subject(s) - pairwise comparison , measure (data warehouse) , term (time) , mathematics , distance measures , variable (mathematics) , set (abstract data type) , fuzzy set , fuzzy logic , distance matrix , artificial intelligence , group decision making , linguistics , computer science , data mining , natural language processing , statistics , algorithm , psychology , mathematical analysis , social psychology , philosophy , physics , quantum mechanics , programming language

A hesitant fuzzy linguistic term set (HFLTS), allowing experts using several possible linguistic terms to assess a qualitative linguistic variable, is very useful to express people’s hesitancy in practical decision-making problems. Up to now, a little research has been done on the comparison and distance measure of HFLTSs. In this paper, we present a comparison method for HFLTSs based on pairwise comparisons of each linguistic term in the two HFLTSs. Then, a distance measure method based on the pairwise comparison matrix of HFLTSs is proposed, and we prove that this distance is equal to the distance of the average values of HFLTSs, which makes the distance measure much more simple. Finally, the pairwise comparison and distance measure methods are utilized to develop two multicriteria decision-making approaches under hesitant fuzzy linguistic environments. The results analysis shows that our methods in this paper are more reasonable

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research