Title :
Fuzzy Decision Based on Fuzzy Rough Set
Author :
Lin, Jin-Cherng ; Wu, Kuo-Chiang
Author_Institution :
Dept. of Comput. Sci. & Eng., Tatung Univ., Taipei
Abstract :
Knowledge reduction is one of important theories about rough set. Knowledge reduction is aimed at under the premise that no change is taken place in the classification of knowledge base, deleting irrelevant or unimportant information to derive the decision rule of questions. This paper tries to apply the fuzzy decision of fuzzy theory into the rough set, that is, taking advantage of the constrain relationship between constrain set and goal set in fuzzy decision to conduct knowledge reduction and finally to derive the decision rule
Keywords :
fuzzy set theory; knowledge based systems; rough set theory; fuzzy decision; fuzzy rough set; fuzzy theory; knowledge base classification; knowledge reduction; Artificial intelligence; Computer science; Constraint theory; Data mining; Decision theory; Fuzzy set theory; Fuzzy sets; Information technology; Knowledge engineering; Set theory;
Conference_Titel :
Hybrid Information Technology, 2006. ICHIT '06. International Conference on
Conference_Location :
Cheju Island
Print_ISBN :
0-7695-2674-8
DOI :
10.1109/ICHIT.2006.253529
