Lecture Notes in Computer Science, 2001, Volume 2005/2001, 82-89, DOI: 10.1007/3-540-45554-X_9

Interpreting Fuzzy Membership Functions in the Theory of Rough Sets

Y. Y. Yao and J. P. Zhang

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Abstract

A fundamental difficulty with fuzzy set theory is the semantical interpretations of membership functions. We address this issue in the theory of rough sets. Rough membership functions are viewed as a special type of fuzzy membership functions interpretable using conditional probabilities. Rough set approximations are related to the core and support of a fuzzy set. A salient feature of the interpretation is that membership values of equivalent or similar elements are related to each other. Two types of similarities are considered, one is defined by a partition of the universe, and the other is denned by a covering.

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