Knowledge discovery and semantic learning in the framework of axiomatic fuzzy set theory

2018 ◽  
Vol 8 (5) ◽  
Author(s):  
Xiaodong Liu ◽  
Wenjuan Jia ◽  
Yuangang Wang ◽  
Hongyue Guo ◽  
Yan Ren ◽  
...  
Keyword(s):  
Knowledge Discovery ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Semantic Learning ◽  
Axiomatic Fuzzy Set Theory

An advisable facial semantic characterization based on Axiomatic Fuzzy Set theory and information granules

2020 ◽  
Vol 523 ◽  
pp. 133-151
Author(s):  
Yan Ren ◽  
Shuting Zhang ◽  
Wanquan Liu ◽  
Lidong Wang ◽  
Wei Guan
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Information Granules ◽  
Axiomatic Fuzzy Set Theory

Generating Fuzzy Sets and Fuzzy Relations Based on Information

2021 ◽  
Vol 20 ◽  
pp. 178-185
Author(s):  
Radwan Abu- Gdairi ◽  
Ibrahim Noaman
Keyword(s):  
Fuzzy Sets ◽  
Knowledge Discovery ◽  
Set Theory ◽  
Membership Function ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Fuzzy Relation ◽  
Knowledge Discovery In Databases ◽  
Fuzzy Relations

Fuzzy set theory and fuzzy relation are important techniques in knowledge discovery in databases. In this work, we presented fuzzy sets and fuzzy relations according to some giving Information by using rough membership function as a new way to get fuzzy set and fuzzy relation to help the decision in any topic . Some properties have been studied. And application of my life on the fuzzy set was introduced

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