Approximation of goal constraint coefficients in fuzzy goal programming

Nureize Arbaiy, Junzow Watada

    研究成果: Conference contribution

    10 被引用数 (Scopus)

    抄録

    It is sometimes difficult in real situations to estimate the coefficients of decision variables in multi-objective model. Even though mathematical analysis may contribute to determine these coefficients, historical data used may contain fuzzy and random properties and should be treated properly. Thus, this paper introduces a fuzzy random regression to approximate the coefficients; specifically the goal constraints of goal programming model. We propose a two phase-based approach for the solution model; first, we construct the goal constraints using fuzzy random regression model and, second, we solve the multi-objective problem with a fuzzy additive goal programming. A numerical example is presented to illustrate the model.

    本文言語English
    ホスト出版物のタイトル2010 2nd International Conference on Computer Engineering and Applications, ICCEA 2010
    ページ161-165
    ページ数5
    1
    DOI
    出版ステータスPublished - 2010
    イベント2nd International Conference on Computer Engineering and Applications, ICCEA 2010 -
    継続期間: 2010 3 192010 3 21

    Other

    Other2nd International Conference on Computer Engineering and Applications, ICCEA 2010
    Period10/3/1910/3/21

    ASJC Scopus subject areas

    • Computer Science Applications
    • Software

    引用スタイル