Approximation of goal constraint coefficients in fuzzy goal programming

Nureize Arbaiy, Junzow Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication2010 2nd International Conference on Computer Engineering and Applications, ICCEA 2010
    Pages161-165
    Number of pages5
    Volume1
    DOIs
    Publication statusPublished - 2010
    Event2nd International Conference on Computer Engineering and Applications, ICCEA 2010 -
    Duration: 2010 Mar 192010 Mar 21

    Other

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

    Keywords

    • Coefficients
    • Fuzzy additive goal programming
    • Fuzzy random regression model
    • Goal constraints

    ASJC Scopus subject areas

    • Computer Science Applications
    • Software

    Cite this

    Arbaiy, N., & Watada, J. (2010). Approximation of goal constraint coefficients in fuzzy goal programming. In 2010 2nd International Conference on Computer Engineering and Applications, ICCEA 2010 (Vol. 1, pp. 161-165). [5445845] https://doi.org/10.1109/ICCEA.2010.39