Abstract
Many papers in the area of fuzzy sets start with statements such as “Given membership function µ A (x) and assuming that the minimum operator is an appropriate model for the intersection of fuzzy sets.…” If fuzzy set theory is considered to be a purely formal theory, such statements are certainly acceptable, even though some kind of formal justification of these assumptions would be desirable. If, however, fuzzy set theory is used to model real phenomena and we assert these models to be true models of reality then some kind of empirical justification is absolutely necessary.
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© 1987 Kluwer Academic Publishers, Boston
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Zimmermann, HJ. (1987). Operators and Membership Functions in Decision Models. In: Fuzzy Sets, Decision Making, and Expert Systems. International Series in Management Science/Operations Research, vol 10. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3249-4_6
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DOI: https://doi.org/10.1007/978-94-009-3249-4_6
Publisher Name: Springer, Dordrecht
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