DocumentCode
2890648
Title
The Fuzzy Rough Set Approaches of Fuzzy Reasoning
Author
Tsang, Eric C C ; Chen, De-gang
Author_Institution
Dept. of Comput., Hong Kong Polytech. Univ., Kowloon
fYear
2006
fDate
13-16 Aug. 2006
Firstpage
1642
Lastpage
1646
Abstract
In this paper, we present some new ideas for fuzzy reasoning from the viewpoint of fuzzy rough set. After introducing the existing research of fuzzy rough sets, we show that the well-known CRI method in fuzzy reasoning is just a special upper approximation operator in fuzzy rough set theory. We also develop some practical methods for fuzzy system by using lower approximation operators in fuzzy rough sets and compare them with the existing methods for fuzzy system
Keywords
fuzzy reasoning; fuzzy set theory; fuzzy systems; mathematical operators; rough set theory; CRI method; approximation operator; fuzzy reasoning; fuzzy rough set theory; fuzzy system; Cybernetics; Fuzzy logic; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Machine learning; Mathematics; Physics computing; Rough sets; Set theory; Uncertainty; Fuzzy set; approximation operators; fuzzy reasoning; rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location
Dalian, China
Print_ISBN
1-4244-0061-9
Type
conf
DOI
10.1109/ICMLC.2006.258899
Filename
4028328
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