DECISION MAKING MODELS AND ALGORITHMS IN SITUATIONS OF UNCERTAINTY

This study describes three decision making models for uncertain situations, when the decision maker has infinity of alternatives, the activity is determined by uncontrollable factors, and the number of states of nature is considered finite. The proposed mathematical model...

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Main Authors: Lilian GOLBAN, Anatol GODONOAGĂ
Format: Article
Language:English
Published: Academy of the Economic Studies of Moldova 2019-04-01
Series:Economica
Subjects:
Online Access:http://irek.ase.md/xmlui/bitstream/handle/1234567890/16/Golban%20L._Godonoaga%20A._%20ec_2019_4.pdf?sequence=1&isAllowed=y
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author Lilian GOLBAN
Anatol GODONOAGĂ
author_facet Lilian GOLBAN
Anatol GODONOAGĂ
author_sort Lilian GOLBAN
collection DOAJ
description This study describes three decision making models for uncertain situations, when the decision maker has infinity of alternatives, the activity is determined by uncontrollable factors, and the number of states of nature is considered finite. The proposed mathematical models have certain degrees of complexity, while, also, adequately reflecting the decision-making aspects under insufficient, non-deterministic information conditions, etc. At the same time, they represent a current vision for extending the classical possibilities of the optimization algorithms of different economic processes of production, of free market or monopolistic type, and transport (distribution), for the cases with continuous decisions in the game with nature. Moreover, it is admitted that the consumer’s behaviour is uncertain, and the demand cannot be determined a priori, knowing only the possible variants of its realization.
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spelling doaj.art-3198d0b2c1c446b5bc6552346b1f331f2022-12-22T03:13:03ZengAcademy of the Economic Studies of MoldovaEconomica1810-91361810-91362019-04-014110139155DECISION MAKING MODELS AND ALGORITHMS IN SITUATIONS OF UNCERTAINTYLilian GOLBAN0Anatol GODONOAGĂ1ASEMASEMThis study describes three decision making models for uncertain situations, when the decision maker has infinity of alternatives, the activity is determined by uncontrollable factors, and the number of states of nature is considered finite. The proposed mathematical models have certain degrees of complexity, while, also, adequately reflecting the decision-making aspects under insufficient, non-deterministic information conditions, etc. At the same time, they represent a current vision for extending the classical possibilities of the optimization algorithms of different economic processes of production, of free market or monopolistic type, and transport (distribution), for the cases with continuous decisions in the game with nature. Moreover, it is admitted that the consumer’s behaviour is uncertain, and the demand cannot be determined a priori, knowing only the possible variants of its realization.http://irek.ase.md/xmlui/bitstream/handle/1234567890/16/Golban%20L._Godonoaga%20A._%20ec_2019_4.pdf?sequence=1&isAllowed=yuncertaintydecisionswald criterionsavage criteriongeneralized gradientnumerical algorithms
spellingShingle Lilian GOLBAN
Anatol GODONOAGĂ
DECISION MAKING MODELS AND ALGORITHMS IN SITUATIONS OF UNCERTAINTY
Economica
uncertainty
decisions
wald criterion
savage criterion
generalized gradient
numerical algorithms
title DECISION MAKING MODELS AND ALGORITHMS IN SITUATIONS OF UNCERTAINTY
title_full DECISION MAKING MODELS AND ALGORITHMS IN SITUATIONS OF UNCERTAINTY
title_fullStr DECISION MAKING MODELS AND ALGORITHMS IN SITUATIONS OF UNCERTAINTY
title_full_unstemmed DECISION MAKING MODELS AND ALGORITHMS IN SITUATIONS OF UNCERTAINTY
title_short DECISION MAKING MODELS AND ALGORITHMS IN SITUATIONS OF UNCERTAINTY
title_sort decision making models and algorithms in situations of uncertainty
topic uncertainty
decisions
wald criterion
savage criterion
generalized gradient
numerical algorithms
url http://irek.ase.md/xmlui/bitstream/handle/1234567890/16/Golban%20L._Godonoaga%20A._%20ec_2019_4.pdf?sequence=1&isAllowed=y
work_keys_str_mv AT liliangolban decisionmakingmodelsandalgorithmsinsituationsofuncertainty
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