A fuzzy rule-based classification system using Hedge Algebraic Type-2 Fuzzy Sets

摘要

This paper proposes a method for constructing Hedge Algebraic Type-2 Fuzzy Logic Systems (HaT2-FLS) from input-output data. This method consists of two main phases. In the first phase, the Type-1 Fuzzy Logic System (T1-FLS) is designed under the combination of Fuzzy C-Means algorithm and training data. Then we construct HaT2-FLS on the basis of the above T1-FLS in the second phase. The rule base in T1-FLS is the foundation on which the rule base in HaT2-FLS is created. The difference now is that the antecedent and consequent sets are Hedge Algebraic Type-2 Fuzzy Sets (HaT2FSs). Experiments show the effectiveness of the method.