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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 

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Volumes > Volume 9 > No. 6

 
   

A New Index for Fuzzy Distance Measure

PP: 3017-3025
Author(s)
Mostafa Ali Beigi, Tayebeh Hajjari, Erfan Ghasem Khani,
Abstract
The hesitant fuzzy linguistic term sets (HELTSs), which can be used to represent an expertís hesitant preferences when assessing a linguistic variable, increase the flexibility of eliciting and representing linguistic information. The HELTSs have attracted a lot of attention recently due to their distinguished power and efficiency in representing uncertainty and vagueness within the process of decision making. To enhance and extend the applicability of HELTSs, in this paper we first review on some fuzzy distance methods, then we present a new fuzzy distance measure based on end points and core, which is far simple, and easier than previous methods. Finally, some numerical examples illustrate the presented method as well as comparing it with other various ones.

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