A classification of representable t-norm operators for picture fuzzy sets
T-norms and t-conorms are basic operators of fuzzy logics. The classifications of these operators are significant problems. Some results of the classifications of fuzzy logics operators for fuzzy sets were given in [3,4]. In 2013, we defined the picture fuzzy sets [5,6] and in 2015 some representabl...
Saved in:
Published in: | 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE) pp. 19 - 24 |
---|---|
Main Authors: | , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-10-2016
|
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | T-norms and t-conorms are basic operators of fuzzy logics. The classifications of these operators are significant problems. Some results of the classifications of fuzzy logics operators for fuzzy sets were given in [3,4]. In 2013, we defined the picture fuzzy sets [5,6] and in 2015 some representable t-norms operators and t-conorms operators were presented in [7,8]. In this paper, we will investigate the classification of representable picture t-norms and picture t-conorms operators for picture fuzzy sets. |
---|---|
DOI: | 10.1109/KSE.2016.7758023 |