Abstract
Different methods of processing fuzzy information exist. We note, as instance, the Sugeno method (Takagi, and Sugeno (IEEE Trans Syst Man Cyb 15:116–132, 1985)) which allows to simplify the calculations based on an aggregation of the information, in the purpose of obtaining an interpretable solution. This method is often used in real time applications where the problem of computational time arises. Another regularly used one is the Mamdani approach shown in Mamdani and Assilian (Int J Man-Mach Stud 7:1–13, 1975). This one will be developed in this chapter. The Mamdani fuzzy process, also called the Mamdani fuzzy inference system or the fuzzy logic system (FLS), consists of three main steps: fuzzification, IF-THEN rules, and defuzzification.
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Berkachy, R. (2021). Fuzzy Rule-Based Systems. In: The Signed Distance Measure in Fuzzy Statistical Analysis. Fuzzy Management Methods. Springer, Cham. https://doi.org/10.1007/978-3-030-76916-1_3
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DOI: https://doi.org/10.1007/978-3-030-76916-1_3
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