Paper Info
Title
Correlation coefficient of intuitionistic hesitant fuzzy sets based on informational energy and their applications to clustering analysis
Abstract
On daily basis human beings came across with the activity in which one should have to choose among various choices the most convenient one for the decision situation by means of mental and reasoning process. In this paper we utilize the concept of intuitionistic hesitant fuzzy set (IHFS) which is the combination of hesitant fuzzy set and intuitionistic fuzzy set to manage those situations in which professionals hesitate amid several possible membership and non-membership values to evaluate an alternative. To attain a few correlation coefficient formulas for IHFS and implement them to clustering analysis under intuitionistic hesitant fuzzy surroundings is the aim of this paper. Two examples, i.e., universities categorization on the basis of quality and countries evaluation on the basis of economy are implemented to exemplify the undeniable requirement of the clustering algorithm depend on IHFS. These examples link the distinction of assessment data supplied by unalike professionals in clustering operations.
Year
DOI
Venue
2019
10.1007/s00500-018-3591-1
Soft Computing
Keywords
Field
DocType
Correlation coefficient, Hesitant fuzzy set, Cluster analysis
Correlation coefficient,Categorization,Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Cluster analysis,Machine learning
Journal
Volume
Issue
ISSN
23.0
20.0
1433-7479
Citations 
PageRank 
References 
0
0.34
21
Authors
3
Name
Order
Citations
PageRank
Adina Asim100.34
Rabia Nasar200.34
Tabasam Rashid325519.40