Constraint-based fuzzy models for an environment with heterogeneous information granules

Authors:
Robert Lai;David Chiang
Affiliations:
Department of Computer Science & Engineering, Yuan Ze University, Chungli, Taiwan, R.O.C.;Department of Computer Science & Engineering, Yuan Ze University, Chungli, Taiwan, R.O.C.
Venue:
AIKED'05 Proceedings of the 4th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering Data Bases
Year:
2005

Citing 3
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Abstract

A novel constraint-based fuzzy modeling approach is proposed. Features of the proposed model are enumerated as below. 1)The knowledge base of a constraint-based fuzzy model can incorporate information with various types of fuzzy predicates. Under this perspective, rule-based fuzzy models can be recognized as a special case of the proposed fuzzy models. 2) A corresponding inference mechanism for the proposed model can deal with heterogeneous information granules. 3) Both numerical and linguistic inputs can be accepted for predicting new outputs.