Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/19656
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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