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|Title:||Genetic fuzzy systems : a paradigm for learning heuristic rules||Authors:||Rahardja Sunarto||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems||Issue Date:||1996||Abstract:||Fuzzy systems have been used extensively to solve many real-world control prob-lems. However, issues pertaining to the acquisition of the knowledge, particularly the control rules and membership functions of the fuzzy concepts persist. In our work, we propose a genetic fuzzy hybrid system that uses a genetic algorithm (GA) to directly ma-nipulate fuzzy control rules. This system uses a GA to derive an «-rule fuzzy system based on specified membership functions for the fuzzy control terms.||Description:||298 p.||URI:||http://hdl.handle.net/10356/19656||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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