Non-Weighted Evaluation Function in Multi-Objective Problems
DOI:
https://doi.org/10.24203/ajas.v6i5.5107Keywords:
Fuzzy Rule extraction, Genetic Algorithms, Non Weighted Evaluation Function, Mutation complementary methodAbstract
An evaluation function is proposed to deal with multi-objective problems without weight using a new composition method. Improving the evaluation function by reducing its complexity through discarding the weights. The evaluation function is utilized for the optimization of fuzzy rules.
A genetic algorithm is applied as a multi-objective algorithm for fuzzy rules extraction. Simplicity during building fuzzy inference system and reducing the computational complexity is required. The algorithm is applied on AFR data sets.
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