Generating Weighted Fuzzy Rules from Training Data for Handling Fuzzy Classification Problems
碩士 === 國立臺灣科技大學 === 電子工程系 === 89 === In recent years, many methods have been proposed to generate fuzzy rules from training data. In this thesis, we present a new algorithm (FRG) to generate weighted fuzzy rules from a set of training data, where the attributes appearing in the antecedent...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2001
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Online Access: | http://ndltd.ncl.edu.tw/handle/22523933145504773247 |