Open AccessOptimization Iteration Min-Max Cross Over Genetic Algorithm To Generate Fuzzy membership Function Automatically
Author(s) -
Ertina Sabarita Barus,
Niskarto Zendrato,
Diana Alemin Barus,
Pilipus Tarigan,
Khairuman Khairuman,
Andi Marwan Elhanafi,
Jenni Veronika Br Ginting,
Hasanul Fahmi
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1361/1/012059
Subject(s) - membership function , fuzzy logic , fuzzy classification , genetic algorithm , defuzzification , function (biology) , computer science , point (geometry) , algorithm , fuzzy set operations , mathematical optimization , fuzzy set , fuzzy number , fuzzy mathematics , mathematics , artificial intelligence , data mining , geometry , evolutionary biology , biology
Generating membership function fuzzy for Fuzzy system is important to representative of the problem. Some research generating a membership function automatic had done and still have a problem to generate procces in max iterasi, so that this research will generating membership function fuzzy otomatic used genetic algorithm by analysing the cross over point.