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On fuzzy solution of a linear optimization problem with max-aggregation function relation inequality constraints

  • RAOTA-2016
  • Published:
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Abstract

Crisp constraints in the case of linear optimization problem linked to max-aggregation function composition as rule may result in unsatisfactory solution. We propose and discuss a method of getting more feasible solutions, relaxing crisp inequalities/extremes by means of fuzzy sets.

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Authors and Affiliations

  1. Faculty of Civil Engineering, Slovak University of Technology, Radlinského 11, 810 05, Bratislava, Slovakia

    Radko Mesiar & Alexandra Šipošová

  2. Department of Pure Mathematics, Faculty of Mathematics and Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran

    Fateme Kouchakinejad

Authors
  1. Radko Mesiar
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  2. Fateme Kouchakinejad
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  3. Alexandra Šipošová
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Corresponding author

Correspondence to Fateme Kouchakinejad.

Additional information

Radko Mesiar and Alexandra Šipošová acknowledge support from the APVV-14-0013.

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Mesiar, R., Kouchakinejad, F. & Šipošová, A. On fuzzy solution of a linear optimization problem with max-aggregation function relation inequality constraints. Ann Oper Res 269, 521–533 (2018). https://doi.org/10.1007/s10479-017-2483-6

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  • DOI: https://doi.org/10.1007/s10479-017-2483-6

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