Non-Weighted Evaluation Function in Multi-Objective Problems


  • Bayadir Abbas Himyari lecturer
  • Azman Yasin
  • Horizon Gitano



Fuzzy Rule extraction, Genetic Algorithms, Non Weighted Evaluation Function, Mutation complementary method


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.

Author Biography

Bayadir Abbas Himyari, lecturer

computer science


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How to Cite

Himyari, B. A., Yasin, A., & Gitano, H. (2018). Non-Weighted Evaluation Function in Multi-Objective Problems. Asian Journal of Applied Sciences, 6(5).