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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258899
