The path of linguistic random regression to knowledge acquisition

Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    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.

    Original languageEnglish
    Title of host publicationStudies in Fuzziness and Soft Computing
    Pages749-753
    Number of pages5
    Volume299
    DOIs
    Publication statusPublished - 2013

    Publication series

    NameStudies in Fuzziness and Soft Computing
    Volume299
    ISSN (Print)14349922

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    ASJC Scopus subject areas

    • Computer Science (miscellaneous)
    • Computational Mathematics

    Cite this

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