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 :
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