Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller

• Main Author: Ismail, H. Muh Yusuf
• Format: Thesis
• Language: English; English
• Published: 2010
• Subjects: Q Science (General); QA Mathematics
• Online Access: http://eprints.utem.edu.my/id/eprint/13841/1/Genetic__Algorithms_in_optimizing_membership_funtion_for_fuzzy_logic_controller24_pages.pdf; http://eprints.utem.edu.my/id/eprint/13841/2/Genetic__Algorithms_in_optimizing_membership_funtion_for_fuzzy_logic_controller.pdf; http://eprints.utem.edu.my/id/eprint/13841/; http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000061103

This study investigates the use of Genetic Algorithms (GA) to design and implement of Fuzzy Logic Controllers (FLC). A fuzzy logic is fully defined by its membership function. What is the best to determine the membership function is the first question that has be tackled. Thus it is important to...