Design of sampling-based noniterative algorithms for centroid type-reduction of general type-2 fuzzy logic systems
نویسندگان
چکیده
Abstract General type-2 (GT2) fuzzy logic systems (FLSs) become a popular research topic for the past few years. Usually Karnik–Mendel algorithms are most prevalent approach to complete type-reduction. Nonetheless, iterative quality of these types computational intensive might impede applying them. For improved algorithms, some noniterative can enhance calculation efficiencies greatly, while it is still an open problem comparing relation between discrete TR and corresponding continuous algorithms. First, sum integral operations in compared. Then, three kinds originate from type-reduction interval FLSs extended centroid general T2 FLSs. Four computer simulations prove that changing number samples suitably, calculational results may accurately gain on related times obviously less than this offer possible meaning designing
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ژورنال
عنوان ژورنال: Complex & Intelligent Systems
سال: 2022
ISSN: ['2198-6053', '2199-4536']
DOI: https://doi.org/10.1007/s40747-022-00789-4