DOI: 10.5937/jaes10-2523
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions.
Volume 10 article 232 pages: 147 - 152
One
of the important issues for any enterprises is the compromise optimal solution
between inverse of multi objective functions. The prediction of the production
cost and/or profi t per unit of a product and deal with two obverse functions
at same time can be extremely diffi cult, especially if there is a lot of confl
ict information about production parameters. But the most important is how much
risk of this compromise solution. For this reason, the research intrduce and
developed a strong and cabable model of genatic algorithim combinding with risk
mamagement mtrix to increase the quality of decisions as it is based on
quantitive indicators, not on qualititive evaluation. Research results show that
integration of genetic algorithim and risk mamagement matrix model has strong
signifi cant in the decision making where it power and time to make the right
decesion and improve the quality of the decision making as well.
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