Genetic Optimization of Type-1, Type-2 and Intuitionistic Fuzzy Recognition Systems
作者： Patricia Melin
DOI: 10.1007/978-3-030-47024-1_28
关键词:
摘要: In this paper a new method for fuzzy system optimization is presented. The proposed performs the intuitionistic or type-2 inference design using hierarchical genetic algorithm as an method. This improvement of approach presented in previous works where only type-1 and interval systems was performed considering human recognition application. Human three biometric measures namely iris, ear, voice, main idea to perform combination responses modular neural networks optimized improve final results without with noisy conditions. obtained show effectiveness designing optimal structures systems.
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