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

    Fingerprint

    Information granules
    Knowledge Acquisition
    Knowledge acquisition
    Linguistics
    Granular computing
    Granular Computing
    Regression
    Path
    Computing with Words
    Adjacency
    Fuzzy sets
    Fuzzy Logic
    Fuzzy logic
    Fuzzy Sets
    Computing

    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

    The path of linguistic random regression to knowledge acquisition. / Watada, Junzo.

    Studies in Fuzziness and Soft Computing. Vol. 299 2013. p. 749-753 (Studies in Fuzziness and Soft Computing; Vol. 299).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Watada, J 2013, The path of linguistic random regression to knowledge acquisition. in Studies in Fuzziness and Soft Computing. vol. 299, Studies in Fuzziness and Soft Computing, vol. 299, pp. 749-753. https://doi.org/10.1007/978-3-642-35644-5-46
    Watada J. The path of linguistic random regression to knowledge acquisition. In Studies in Fuzziness and Soft Computing. Vol. 299. 2013. p. 749-753. (Studies in Fuzziness and Soft Computing). https://doi.org/10.1007/978-3-642-35644-5-46
    Watada, Junzo. / The path of linguistic random regression to knowledge acquisition. Studies in Fuzziness and Soft Computing. Vol. 299 2013. pp. 749-753 (Studies in Fuzziness and Soft Computing).
    @inbook{e233ba9144f04362a7fad4a64cda201f,
    title = "The path of linguistic random regression to knowledge acquisition",
    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.",
    author = "Junzo Watada",
    year = "2013",
    doi = "10.1007/978-3-642-35644-5-46",
    language = "English",
    isbn = "9783642356438",
    volume = "299",
    series = "Studies in Fuzziness and Soft Computing",
    pages = "749--753",
    booktitle = "Studies in Fuzziness and Soft Computing",

    }

    TY - CHAP

    T1 - The path of linguistic random regression to knowledge acquisition

    AU - Watada, Junzo

    PY - 2013

    Y1 - 2013

    N2 - 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.

    AB - 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.

    UR - http://www.scopus.com/inward/record.url?scp=84876548288&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84876548288&partnerID=8YFLogxK

    U2 - 10.1007/978-3-642-35644-5-46

    DO - 10.1007/978-3-642-35644-5-46

    M3 - Chapter

    AN - SCOPUS:84876548288

    SN - 9783642356438

    VL - 299

    T3 - Studies in Fuzziness and Soft Computing

    SP - 749

    EP - 753

    BT - Studies in Fuzziness and Soft Computing

    ER -