DocumentCode :
3395021
Title :
Current approaches to extending fuzzy logic to object-oriented modeling
Author :
Lee, Jonathan ; Kuo, Jong-Yih ; Xue, Nien-Lin
Author_Institution :
Dept. of Comput. Sci., Nat. Central Univ., Chungli, Taiwan
Volume :
4
fYear :
2001
fDate :
25-28 July 2001
Firstpage :
2305
Abstract :
The authors attempt a survey of current approaches carried out in the confluence of the two technologies: fuzzy set theory and object-oriented technology, that could provide a powerful tool for enhancing database management systems, software modeling, and knowledge representation in AI systems. Possible types of fuzziness are discussed and key features related to different kinds of fuzzy software systems are also pinpointed out. In a nutshell, fuzzy theory, as a modeling mechanism, is especially useful in tackling real world applications whose complexity demands are growing intensively
Keywords :
computational complexity; database management systems; fuzzy logic; fuzzy set theory; knowledge representation; object-oriented methods; AI systems; complexity demands; database management systems; fuzzy logic extension; fuzzy set theory; fuzzy software systems; fuzzy theory; knowledge representation; modeling mechanism; object-oriented modeling; object-oriented technology; real world applications; software modeling; Artificial intelligence; Database systems; Fuzzy logic; Fuzzy set theory; Fuzzy systems; Knowledge representation; Object oriented modeling; Power system modeling; Software systems; Software tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
Type :
conf
DOI :
10.1109/NAFIPS.2001.944432
Filename :
944432
Link To Document :
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