TEXTURE CLASSIFICATION USING ACCURACY MEASURE OF FUZZY SOFT SETS

Abstract

Fuzzy soft set is the parametrized collection of fuzzy sets. It is a convenient tool to represent the vague concepts by data tables with entries in unit interval [0,1]. It can be considered as an information system.In this paper a new classification method using the accuracy measure of fuzzy soft sets based on the rough approximate operators is discussed. The proposed classification method give the result with low computational complexity as compared to fuzzy soft set Classifier (FSSC) method based on similarity measure of fuzzy soft sets. An algorithm for the evaluation methodology of texture classification is proposed.