Support of Decision-Making under Riskby a Risk-Averse Decision-Maker

Authors

  • Andrzej Łodziński Faculty of Applied Informatics and Mathematics Chair of Econometrics and Computer Science Warsaw University of Life Sciences , Warsaw University of Life Sciences image/svg+xml

DOI:

https://doi.org/10.7494/dmms.2019.13.1-2.3473

Keywords:

multi-objective optimization, equitable efficient decision, scalarizing function, Decision Support Systems

Abstract

The paper presents a method of supporting decision-making under risk by a risk--averse decision-maker. Decision-making under risk occurs when the outcome of the system is ambiguous and depends on the state of the environment. The problem is considered as a multi-criteria optimization. The decision support method consists of interactive conduct of the process of decision-making. The decision is made by means of solving a problem with controlling parameters, which determine the aspirations of the decision-maker and evaluating the obtained solutions. The decision-maker sets parameters for which a solution is determined. Subsequently, he or she assesses the obtained solution, accepting or rejecting it. In the latter case, the decision-maker sets new values for the parameters and the problem is solved again. The present paper presents a discrete example of support for decision making under risk.

References

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Published

2020-04-27

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Articles

How to Cite

Łodziński, A. (2020). Support of Decision-Making under Riskby a Risk-Averse Decision-Maker. Decision Making in Manufacturing and Services, 13, 73-83. https://doi.org/10.7494/dmms.2019.13.1-2.3473

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