Paper Info
Title
The Generalized Dice Similarity Measures For Picture Fuzzy Sets And Their Applications
Abstract
The picture fuzzy set is characterized by three functions expressing the degree of membership, the degree of neutral membership and the degree of non-membership. It was proposed as a generalization of an intuitionistic fuzzy set in order to deal with indeterminate and inconsistent information. In this work, we shall present some novel Dice similarity measures of picture fuzzy sets and the generalized Dice similarity measures of picture fuzzy sets and indicate that the Dice similarity measures and asymmetric measures (projection measures) are the special cases of the generalized Dice similarity measures in some parameter values. Then, we propose the generalized Dice similarity measures-based patterns recognition models with picture fuzzy information. Then, we apply the generalized Dice similarity measures between picture fuzzy sets to building material recognition. Finally, an illustrative example is given to demonstrate the efficiency of the similarity measures for building material recognition.
Year
DOI
Venue
2018
10.15388/Informatica.2018.160
INFORMATICA
Keywords
Field
DocType
generalized Dice similarity measures, Dice similarity measures, picture fuzzy set, asymmetric measures, projection measures, patterns recognition, building material recognition
Computer science,Fuzzy set,Artificial intelligence,Dice,Machine learning
Journal
Volume
Issue
ISSN
29
1
0868-4952
Citations 
PageRank 
References 
4
0.38
0
Authors
2
Name
Order
Citations
PageRank
Gui-Wu Wei116319.00
Hui Gao213019.73