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...

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Bibliographic Details
Main Authors: Hao-Lin Lin, 林皓琳
Other Authors: Shyi-Ming Chen
Format: Others
Language:en_US
Published: 2001
Online Access:http://ndltd.ncl.edu.tw/handle/22523933145504773247