A Parametric Method for Knowledge Measure of Intuitionistic Fuzzy Sets

Author(s):  
Zhen-hua Zhang ◽  
Shen-guo Yuan ◽  
Chao Ma ◽  
Jin-hui Xu ◽  
Jing Zhang
2020 ◽  
Vol 20 (1) ◽  
pp. 3-20 ◽  
Author(s):  
Surender Singh ◽  
Sumita Lalotra ◽  
Abdul Haseeb Ganie

AbstractTo overcome the certain limitations of Intuitionistic Fuzzy Sets (IFSs), the notion of Intuitionistic Fuzzy Sets of Second Type (IFSST) was introduced. IFSST is a modified version of IFS for handling some problems in a reasonable manner. Type two Intuitionistic Fuzzy entropy (IFSST-entropy) measures the amount of ambiguity/uncertainty present in an IFSST. In the present paper, we introduce the concept of dual measure of IFSST-entropy, i.e., IFSST-knowledge measure. We develop some IFSST-knowledge measures and prove some of their properties. We also show the superiority of the proposed IFSST-knowledge measures through comparative study. Further, we demonstrate the application of the proposed knowledge measures in Multi-Criteria Decision-Making (MCDM).


2018 ◽  
Vol 09 (07) ◽  
pp. 874-889
Author(s):  
Zhenhua Zhang ◽  
Shenguo Yuan ◽  
Jing Zhang ◽  
Chao Ma ◽  
Jinhui Xu ◽  
...  

2019 ◽  
Vol 10 (3) ◽  
pp. 445-453
Author(s):  
R. Nagalingam ◽  
S. Rajaram

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