Abstract
In the area of fuzzy control, there are four inference methods, including Mamdani inference [17]. Larsen inference [13], Tsukamoto inference [19], and Takagi-Sugeno inference [18]. Common features of these inference methods are [4]: (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.
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(2006). Fuzzy Inference and Control Methods Involving Two Kinds of Uncertainties. In: Fuzzy Modeling and Fuzzy Control. Control Engineering. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4539-7_6
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DOI: https://doi.org/10.1007/978-0-8176-4539-7_6
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