DocumentCode
3302378
Title
Inclusion measure and its use in measuring similarity and distance measure between hesitant fuzzy sets
Author
Shu Yun Yang ; Hong Ying Zhang ; Zhi Wei Yue
Author_Institution
Sch. of Math. & Stat., Xi´an Jiaotong Univ., Xi´an, China
fYear
2013
fDate
13-15 Dec. 2013
Firstpage
386
Lastpage
390
Abstract
In this paper, we propose a variety of inclusion measures for hesitant fuzzy sets (HFSs), based on which the corresponding similarity and distance measures can be obtained. First, we investigate the hybrid monotonic inclusion measures between two hesitant fuzzy elements (HFEs) and present their properties. Second, the hybrid monotonic inclusion measure between two HFSs are proposed. Furthermore, similarity measures and distance are postulated by inclusion measures. Last, numerical examples are provided to illustrate the inclusion measures, similarity measures and distance.
Keywords
fuzzy set theory; HFS; distance measure; hesitant fuzzy elements; hesitant fuzzy sets; hybrid monotonic inclusion measures; similarity measure; Cognition; Decision making; Educational institutions; Fuzzy sets; Hafnium; Intelligent systems; Measurement uncertainty; Distance; Hesitant fuzzy set; Inclusion measure; Similarity measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2013 IEEE International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/GrC.2013.6740441
Filename
6740441
Link To Document