Constructing fuzzy rule-based systems with the R package “frbs”
نویسندگان
چکیده
Fuzzy sets as proposed by Zadeh (1965) are a generalization of classical set theory, in which objects, instead of just being members of a set or not, have a gradual degree of membership. Fuzzy rule-based systems (FRBS) have been used in the past successfully in many applications. They are competitive methods for classification and regression, especially for complex problems. One of their leading properties is that they are usually easy to interpret.
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