Fuzzy logic and knowledge representation in a symbolic-subsymbolic architecture

Author

Tang, Siong K. ; Dillon, Tharam S. ; Khosla, Rajiv

Author_Institution

Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Bundoora, Vic., Australia

Volume

1

fYear

1995

fDate

Nov/Dec 1995

Firstpage

349

Abstract

In this paper, we show the relevance of fuzzy systems in an integrated symbolic and subsymbolic architecture for information processing. We also show how fuzzy logic can be used to represent knowledge in the integrated architecture. We end up with an integrated architecture of knowledge based, connectionist and fuzzy systems for information processing and knowledge modelling. The integrated information processing architecture assists the problem solver in determining the relevance of the three computational paradigms, and their strategy for integrating them in problem solving

Keywords

fuzzy logic; fuzzy systems; knowledge based systems; knowledge representation; neural net architecture; problem solving; GENUES; fuzzy logic; fuzzy systems; generic neural expert system; information processing; knowledge based systems; knowledge modelling; knowledge representation; problem solving; symbolic-subsymbolic architecture; Artificial neural networks; Computer architecture; Fuzzy logic; Fuzzy systems; Humans; Information processing; Intelligent systems; Knowledge based systems; Knowledge representation; Problem-solving;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1995. Proceedings., IEEE International Conference on

Conference_Location

Perth, WA

Print_ISBN

0-7803-2768-3

Type

conf

DOI

10.1109/ICNN.1995.488123

Filename

488123