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Weighted Linear Fractional Programming for Possibilistic Multi-objective Problem

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Computational Intelligence in Information Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 331))

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Abstract

The assessment of the weights of objective function plays an important role in a multi-objective process. This paper discusses a weighting method for linear fractional programming to solve possibilistic programming of the multi-objective decision-making problem. The minimal and maximal values of the objective function are utilized in the determination the weight value. This analysis concludes that it is worthwhile to pursue proposed solution approach to the multi-objective evaluation scheme, which addresses some limitation to determine the weight values.

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Author information

Authors and Affiliations

  1. University Tun Hussein Onn Malaysia, Batu Pahat, 86400, Malaysia

    Nureize Arbaiy

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  1. Nureize Arbaiy
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Correspondence to Nureize Arbaiy .

Editor information

Editors and Affiliations

  1. Jalan Tungku Link, Institut Teknologi Brunei, Gadong, Brunei Darussalam

    Somnuk Phon-Amnuaisuk

  2. Jalan Tungku Link, Institut Teknologi Brunei, Gadong, Brunei Darussalam

    Thien Wan Au

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Arbaiy, N. (2015). Weighted Linear Fractional Programming for Possibilistic Multi-objective Problem. In: Phon-Amnuaisuk, S., Au, T. (eds) Computational Intelligence in Information Systems. Advances in Intelligent Systems and Computing, vol 331. Springer, Cham. https://doi.org/10.1007/978-3-319-13153-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-13153-5_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13152-8

  • Online ISBN: 978-3-319-13153-5

  • eBook Packages: EngineeringEngineering (R0)

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