Support of decision-making under risk by 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

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 the decision support under risk by the risk averse decision maker. Decision making under risk occurs when the result of the decision is not unequivocal and depends on the state of the environment. The decision making process is modeled with the use of multi-criteria optimization. The decision is made by solving the problem with the control parameters that determine the decision maker's aspirations and the evaluation of the solutions received. The decision maker asks the parameter for which the solution is determined. Then, evaluate the solution received accepting or rejecting it. In the second case, the decision maker gives a new parameter value and the problem is solved again for the new parameter. The work includes an simple discrete problem of decision support under risk

Downloads

Published

2020-04-27

How to Cite

Łodziński, A. (2020). Support of decision-making under risk by a risk-averse decision-maker. Decision Making in Manufacturing and Services, 13. https://doi.org/10.7494/dmms.2019.13.1-2.3473

Issue

Section

Articles