2-413 ファジィアンサンブル識別器の構築法について

概要

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This paper proposes a boosting algorithm of fuzzy rule-based systems for pattern classification. In the proposed algorithm, multiple fuzzy rule-based classification systems are incrementally used for classifying an input pattern. Those fuzzy rule-based classification systmes are generated from different subsets of training patterns. A subset of training patterns for generating each fuzzy rule-based classification system is generated depending on the performance of previously generated fuzzy rule-based classification systems. It is expected that the proposed algorithm performs well on both training data and test data. The performance of the proposed algorithm is shown in computer simulations on three real-world pattern classification problems such as iris data set, appendicitis data set and cancer data set.
一般社団法人日本機械学会の論文
2002-11-14