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The synergistic combination of particle swarm optimization and fuzzy sets to design granular classifier

Granulation extracts a bundle of similar patterns by decomposing universe. Hyperboxes are granular classifiers to confront the uncertainties in granular computing. This paper proposes a granular classifier to discover hyperboxes in three phases. The first phase of the proposed model uses the set cal...

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書誌詳細
主要な著者:	Salehi, Saber, Selamat, Ali, Mashinchi, M. Reza, Fujita, Hamido
フォーマット:	論文
出版事項:	Elsevier 2015
主題:	T58.5-58.64 Information technology
オンライン･アクセス:	http://eprints.utm.my/id/eprint/58999/ http://dx.doi.org/10.1016/j.knosys.2014.12.017
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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