Applying modifiers to knowledge acquisition

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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