タカハギ エイイチロウ
TAKAHAGI Eiichiro
高萩 栄一郎 所属 専修大学 商学部 専修大学大学院 商学研究科 職種 教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2011/09 |
形態種別 | 学術書 |
標題 | Multiple-Output Choquet Integral Models and Their Applications in Classification Methods |
執筆形態 | 単著 |
掲載誌名 | Advances in Intelligent and Soft Computing, Springer Berlin / Heidelberg |
巻・号・頁 | 100,pp.93-100 |
総ページ数 | 8 |
概要 | Two types of the multiple-output Choquet integral models are defined. Vector-valued Choquet integral models are vector-valued functions calculated by m times Choquet integral calculations with respect to the m-th fuzzy measure of a fuzzy measure vector. Logical set-function-valued Choquet integral models are set-function-valued functions that can be used in classification. The set function shows singleton, overlap, and unclassifiable degrees. The sum value of the set function is equal to 1. A method for transformation from vector-valued Choquet integral models to logical set-function-valued Choquet integral models is proposed. <a href="http://dx.doi.org/10.1007/978-3-642-22833-9_11">Link</a> |
DOI | 10.1007/978-3-642-22833-9_11 |