A Review on the Development of Fuzzy Classifiers with Improved Interpretability and Accuracy Parameters

This review paper of fuzzy classifiers with improved interpretability and accuracy parameter discussed the most fundamental aspect very effective powerful tools in form probabilistic reasoning, The logic concept allows realization ap-proximate, vague, uncertain, dynamic, more realistic conditions, which is closer to actual physical world human thinking. theory has competency catch lack preciseness linguistic terms a speech natural language. provides significant model humans like com-mon-sense reasoning conclusion making set rules as good membership functions. Also, this reviews evaluation set, type-1, type-2, interval type-2 system from traditional Boolean crisp along issues system.