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Math. Comput. Appl. 2003, 8(2), 253-262; doi:10.3390/mca8020253

Rule-Based Fuzzy Classification Using Query Processing

Department of Statistics and Computer Science, Mugla University, Mugla ,Turkey
Published: 1 August 2003
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Abstract

This paper describes the derivation of fuzzy classification rules based on c-means fuzzy clustering algorithm as results that are induced of fuzzy clusters. Each fuzzy cluster is associated with a fuzzy classification rule in which fuzzy sets are obtained by projecting the cluster to one-dimensional domains. In order to provide a unique assignment of data to a defined class it is suggested to use the fuzzy query processing executed on the base of induced linguistic fuzzy classification rules. This approach has been applied to fuzzy classification of population where fast and efficient assignment as well as the rank of a data in the same class is supplied.
Keywords: fuzzy cluster; classification; fuzzy set; projection; fuzzy query processing fuzzy cluster; classification; fuzzy set; projection; fuzzy query processing
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Eminov, M. Rule-Based Fuzzy Classification Using Query Processing. Math. Comput. Appl. 2003, 8, 253-262.

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