Farzaneh M.Parizil - School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran
Eghbal G.Mansoori - School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran

For pattern classification in various fields, Fuzzy Classification Systems have been used, since they can improve performance of the classification system and generate an interpretable classification fuzzy system. Actually, a fuzzy system which generates a rule base with fewer and shorter general rules provides more comprehensible system. We have employed a FRBCS for classification of protein structural classes, since there is a need to implement reliable, accurate and comprehensible classification systems in this field. In this study we tested our method with a benchmark dataset and achieved good classification accuracy. The generated rule base is compact and comprehensible

Fuzzy rule-based classification system, , protein structural classes, interpretability