Building linguistic random regression model and its application

Sha Li*, Shinya Imai, Junzo Watada

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapter

    2 Citations (Scopus)


    The objective of this paper is to build a model for the linguist random regression model as a vehicle to solve linguistic assessment given by experts. The difficulty in the direct measurement of certain characteristics makes their estimation highly impressive and this situation results in the use of fuzzy sets. In this sense, the linguistic treatment of assessments becomes essential when fully reflecting the subjectivity of the judgment process. When we know the attributes assessment, the linguistic regression model get the total assessment.

    Original languageEnglish
    Title of host publicationSmart Innovation, Systems and Technologies
    Number of pages10
    Publication statusPublished - 2012

    Publication series

    NameSmart Innovation, Systems and Technologies
    ISSN (Print)21903018
    ISSN (Electronic)21903026


    • Confidence interval
    • Expected value
    • Fuzzy random variable
    • Fuzzy regression model
    • Linguistic expression
    • Variance

    ASJC Scopus subject areas

    • Computer Science(all)
    • Decision Sciences(all)


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