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Multicriteria Decision-Making Problems Under Uncertainty and Their Solution

  • Yuriy ZaychenkoEmail author
  • Helen Zaichenko
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)

Abstract

The problem of multi-criteria non-linear programing (MCNP) under fuzzy conditions is considered and analyzed. For its solution the concepts of Pareto-optimal solutions and best compromise solution of α-level are formulated. The theorems establishing the interconnections between these solutions are stated and proved. The method of finding best compromise solutions of α-level of MCNP problems is suggested. The example of application of the suggested method for MCLP problem with fuzzy parameters is presented.

Keywords

Multi-criteria decision-making Fuzzy conditions Pareto-optimal solution α-level Best compromise solution of α-level 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Igor Sikorsky Kyiv Polytechnic InstituteKyivUkraine

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