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On the Problem of Possibilistic-Probabilistic Optimization with Constraints on Possibility/Probability

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Fuzzy Logic and Applications (WILF 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11291))

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Abstract

The problem of possibilistic-probabilistic linear programming with constraints on possibility and probability is investigated. For the case of normally distributed random parameters of the model and under the most general assumptions concerning the properties of probability distributions, its equivalent determinate analogue is constructed which is the quadratic programming model.

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Authors and Affiliations

  1. Tver State University, 33 Zhelyabova str., Tver, Russia

    Alexander Yazenin & Ilia Soldatenko

Authors
  1. Alexander Yazenin
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  2. Ilia Soldatenko
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Corresponding author

Correspondence to Ilia Soldatenko .

Editor information

Editors and Affiliations

  1. Széchenyi István University, Győr, Hungary

    Robert Fullér

  2. Ca’ Foscari University of Venice, Venice, Italy

    Silvio Giove

  3. University of Genoa, Genoa, Italy

    Francesco Masulli

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Yazenin, A., Soldatenko, I. (2019). On the Problem of Possibilistic-Probabilistic Optimization with Constraints on Possibility/Probability. In: Fullér, R., Giove, S., Masulli, F. (eds) Fuzzy Logic and Applications. WILF 2018. Lecture Notes in Computer Science(), vol 11291. Springer, Cham. https://doi.org/10.1007/978-3-030-12544-8_4

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  • DOI: https://doi.org/10.1007/978-3-030-12544-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12543-1

  • Online ISBN: 978-3-030-12544-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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