The path of linguistic random regression to knowledge acquisition

Junzo Watada

    研究成果: Chapter

    抜粋

    Fuzzy sets play a pivotal role in computing with words being casted in the setting of granular computing (cf. [17],zedeh2006b). "The essence of granular computing is to carry out computing that exploits information granules" [16],zedeh2006b. Information granules are regarded as collections of elements that can be perceived and treated together because of their similarity, functional properties, or spatial or temporal adjacency [2], [6], [7], [11]. In this sense, fuzzy logic becomes instrumental as an effective vehicle to manipulate information granules.

    元の言語English
    ホスト出版物のタイトルStudies in Fuzziness and Soft Computing
    ページ749-753
    ページ数5
    299
    DOI
    出版物ステータスPublished - 2013

    出版物シリーズ

    名前Studies in Fuzziness and Soft Computing
    299
    ISSN(印刷物)14349922

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)
    • Computational Mathematics

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  • これを引用

    Watada, J. (2013). The path of linguistic random regression to knowledge acquisition. : Studies in Fuzziness and Soft Computing (巻 299, pp. 749-753). (Studies in Fuzziness and Soft Computing; 巻数 299). https://doi.org/10.1007/978-3-642-35644-5-46