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A hybrid system composed by a generalized Type-2 Fuzzy Logic System (GT2FLS) and a fuzzy Bee Colony Optimization (FBCO) algorithm for the dynamic adaptation in the alpha and beta parameters is presented in this paper. The Bee Colony Optimization meta-heuristic belongs to the class of Nature-Inspired Algorithms. The objective of the work is the analysis of the approach with Generalized Type-2 Fuzzy...
A new approach for the Bee Colony Optimization algorithm (BCO) for Type-1 and Type-2 Fuzzy Controller design is presented in this paper. The Bee Colony Optimization meta-heuristic belongs to the class of Nature-Inspired Algorithms. The main objective of the work is based on the main reasons for the optimization of Type-1 and Type-2 Fuzzy Controllers, specifically in tuning membership functions of...
In this paper a comparison of the use of Type-1 and Type-2 fuzzy logic in the benchmark problem known as the problem of the water tank is presented. Fuzzy logic allows managing uncertainty, which is very common in linguistic fuzzy systems. It has been shown that Type-2 fuzzy systems manage better the uncertainty in real world problems but, evidence exists also to show that using Type-2 technology...
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