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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/50713


    Title: Necessity Analysis of Fuzzy Regression Equations using a Fuzzy Goal Programming Model
    Authors: 曹銳勤;Tsaur, Ruey-chyn
    Contributors: 淡江大學經營決策學系
    Date: 2009-06-01
    Issue Date: 2010-08-10 15:22:09 (UTC+8)
    Publisher: Chinese Fuzzy Systems Association
    Abstract: In this study, using necessity analysis, we located a fuzzy regression interval that is possibly included in collected interval data by reducing the effect of fluctuating points. First, we developed a fuzzy regression model with a regression interval that is close to the sum of the radius values of collected interval data. Next, we enlarged the feasible region so that the fuzzy regression interval may be possibly included in the collected data by fuzzifying the constraints of the fuzzy regression model within a given tolerance value. Finally, we derived a satisfactory fuzzy regression equation with maximum possibility. The application of the proposed model is illustrated by means of an example.
    Relation: International Journal of Fuzzy Systems 11(2), pp.107-115
    Appears in Collections:[Department of Management Sciences] Journal Article

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