Fuzzy-multiple tasks of multicriterial optimization in risk conditions .

Authors

T.F Bekmuratov, Research and Innovation Center ICT at the Tashkent University of Information Technologies named after Muhammad al-Khorezmi.Follow
D.T Mukhamedieva, Research and Innovation Center ICT at the Tashkent University of Information Technologies named after Muhammad al-Khorezmi.Follow

Abstract

Approaches to solving the optimization problem and solving a fuzzy multicriteria optimization problem under risk conditions are considered. To assess risks in fuzzy conditions, it is proposed to supplement the system of constraints of a standard decision-making task with a set of restrictions on possible losses, namely, for selected scenarios, to build a model of their consequences (damages) as functions of control parameters and impose expert limitations on an acceptable level of relative damage for each scenario.

First Page

76

Last Page

89

References

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Recommended Citation

Bekmuratov, T.F and Mukhamedieva, D.T (2018) "Fuzzy-multiple tasks of multicriterial optimization in risk conditions .," Chemical Technology, Control and Management: Vol. 2018: Iss. 4, Article 12.
DOI: https://doi.org/10.34920/2018.6.76-89