Constraint-Based Fuzzy Models for an Environment with Heterogeneous Information-Granules

:- 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. Key-Words:- Computing with words; Constraint-based problem solving; Fuzzy modeling; Granular computing; Information granulation.

• Type: Journal
• Year: 2006
• Where: JCST
• Authors: K. Robert Lai, Yi-Yuan Chiang
• Keywords: Constraint-based Fuzzy Modeling, Fuzzy Models, JCST 2006, Rule-based Fuzzy Models