DocumentCode
1624933
Title
Maintenance of local fuzziness in rule interpolation
Author
Gedeon, T.D. ; Kóczy, L.T. ; Huang, Y. ; Wong, P.M.
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., New South Wales Univ., Kensington, NSW, Australia
fYear
1997
Firstpage
57
Lastpage
62
Abstract
Approximate reasoning using fuzzy rule based systems has a wide application in, for example, industrial control, property prediction, and in pattern recognition areas. We introduce our method which is conservative with respect to the degree of local fuzziness in the rule base, and demonstrate its utility on a petroleum engineering problem
Keywords
chemical engineering computing; fuzzy logic; inference mechanisms; interpolation; knowledge based systems; petroleum industry; uncertainty handling; approximate reasoning; fuzzy rule based systems; industrial control; local fuzziness maintenance; pattern recognition; petroleum engineering problem; property prediction; rule base; rule interpolation; Artificial intelligence; Australia; Computer science; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Interpolation; Knowledge based systems; Petroleum; Telematics;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Engineering Systems, 1997. INES '97. Proceedings., 1997 IEEE International Conference on
Conference_Location
Budapest
Print_ISBN
0-7803-3627-5
Type
conf
DOI
10.1109/INES.1997.632393
Filename
632393
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