Similarity Approach on Fuzzy Soft Set Based Numerical Data Classification

Application of soft sets theory for classification of natural textures has been successfully carried out by Mushrif et. al.. However the approach can not be applied in a particular classification problem, such as problem of text classification. In this paper, we propose the new numerical data classification based on similarity fuzzy soft sets. In addition can be applied to text classification, this new fuzzy soft sets classifier (FSSC) can also be used in general numerical data classification. As compare to previous soft sets classifier on seven real data sets experiments, the new proposed approach give high degree of accuracy with low computational complexity.

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