Fuzzy Inference and Control Methods Involving Two Kinds of Uncertainties
Birkhäuser Boston eBooks · 2007
In the area of fuzzy control, there are four inference methods, including Mamdani inference []. Larsen inference [], Tsukamoto inference [], and Takagi-Sugeno inference []. Common features of these inference methods are []: (1) the knowledge base is composed of fuzzy rules; (2) the uncertainty of reasoning is from the linguistic description of premises (or, sometimes consequences) or fuzzy rules (e.g., positively big, very bad, etc.); and (3) each rule in the knowledge base is believed to be completely creditable.