Abstract
The paper presents an approach to apply modifiers to knowledge acquisition. Modifiers are defined in this paper by means of binary relations (and their converse relations) corresponding to L -fuzzy sets, and modifiers are used to acquire topologies corresponding to L -fuzzy sets. These topologies are used to detect dependencies of attributes in information systems with respect to gradual rules as in [J. Kortelainen, Control Cybernet. 28 (1999) 121–131]. In the case of many gradual rules a combined topological degree of dependence is defined. Finally, a more general version of the example presented in J. Kortelainen (loc.cit.) is studied.
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