Interval-valued fuzzy reasoning method based on similarity measure

2020 ◽  
Vol 113 ◽  
pp. 100541
Author(s):  
Minxia Luo ◽  
Yajing Wang ◽  
Ruirui Zhao
2010 ◽  
Vol 143-144 ◽  
pp. 161-165 ◽  
Author(s):  
Qian Sheng Zhang ◽  
Hai Xiang Yao ◽  
Zhen Hua Zhang

This paper presents a new approach for bidirectional interval-valued fuzzy reasoning by employing a weighted similarity measure between the fact and the antecedent portion of production rule, in which the vague terms appearing are represented by interval-valued fuzzy concepts. One numeric example is given to demonstrate the reasonability and flexibility of our proposed approach.


2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Shawkat Alkhazaleh ◽  
Abdul Razak Salleh

We introduce the concept of generalised interval-valued fuzzy soft set and its operations and study some of their properties. We give applications of this theory in solving a decision making problem. We also introduce a similarity measure of two generalised interval-valued fuzzy soft sets and discuss its application in a medical diagnosis problem: fuzzy set; soft set; fuzzy soft set; generalised fuzzy soft set; generalised interval-valued fuzzy soft set; interval-valued fuzzy set; interval-valued fuzzy soft set.


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