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
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;
Conference_Titel :
Intelligent Engineering Systems, 1997. INES '97. Proceedings., 1997 IEEE International Conference on
Conference_Location :
Budapest
Print_ISBN :
0-7803-3627-5
DOI :
10.1109/INES.1997.632393
