Measurement of Economic Risk for a Non-Probabilistic Problem Formulation

The subject of the article is the methodical apparatus for quantitative assessment of the degree of economic risk for the situation of decision-making, under load of the nonstochastic (nonprobabilistic) uncertainty. The research implemented the task of further development of fuzzy-multiple risk meas...

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Autor principal:	Kotsyuba Oleksiy S.
Formato:	article
Lenguaje:	EN RU UK
Publicado:	Research Centre of Industrial Problems of Development of NAS of Ukraine 2021
Materias:	uncertainty fuzziness risk measurement of risk degree of possibility nonstochastic assessment fuzzy value fuzzy number Business HF5001-6182
Acceso en línea:	https://doaj.org/article/d97ef07eccaa4fdf83f08b4d7d9a12cd
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spelling	oai:doaj.org-article:d97ef07eccaa4fdf83f08b4d7d9a12cd2021-11-04T07:52:36ZMeasurement of Economic Risk for a Non-Probabilistic Problem Formulation10.32983/2222-4459-2021-9-52-582222-44592311-116Xhttps://doaj.org/article/d97ef07eccaa4fdf83f08b4d7d9a12cd2021-09-01T00:00:00Zhttps://www.business-inform.net/export_pdf/business-inform-2021-9_0-pages-52_58.pdfhttps://doaj.org/toc/2222-4459https://doaj.org/toc/2311-116XThe subject of the article is the methodical apparatus for quantitative assessment of the degree of economic risk for the situation of decision-making, under load of the nonstochastic (nonprobabilistic) uncertainty. The research implemented the task of further development of fuzzy-multiple risk measurement instrumentarium for the case of simultaneous nonstochastic uncertainty of assessments of the criterial economic indicator (criterion) and its norm. In accordance with the set goal and methodical approach to the interpretation of fuzzy assessments on the basis of an analogy between random and fuzzy values in the work a number of practically significant situations determined by the nature of the nonstochastic assessments of the criterial economic indicator and its norm were consistently considered, for each of these mathematical ratios were found to calculate the degree of risk. The proposed calculation formulas were tested on conventional examples. The results of the tests showed the capability of the developed computing apparatus. The research also focuses on the situation of risk measurement, when the assessment of the criterial economic indicator is modeled as a random variable, while its normative level is described by an assessment, either interval or fuzzy. As a perspective direction of further scientific research on the issues raised in the article, the formation of some generalized methodology for quantitative assessment of the degree of economic risk, which would allow to measure the risk for various situations of information uncertainty from a single theoretical position, is defined.Kotsyuba Oleksiy S.Research Centre of Industrial Problems of Development of NAS of Ukrainearticleuncertaintyfuzzinessriskmeasurement of riskdegree of possibilitynonstochastic assessmentfuzzy valuefuzzy numberBusinessHF5001-6182ENRUUKBìznes Inform, Vol 9, Iss 524, Pp 52-58 (2021)
institution	DOAJ
collection	DOAJ
language	EN RU UK
topic	uncertainty fuzziness risk measurement of risk degree of possibility nonstochastic assessment fuzzy value fuzzy number Business HF5001-6182
spellingShingle	uncertainty fuzziness risk measurement of risk degree of possibility nonstochastic assessment fuzzy value fuzzy number Business HF5001-6182 Kotsyuba Oleksiy S. Measurement of Economic Risk for a Non-Probabilistic Problem Formulation
description	The subject of the article is the methodical apparatus for quantitative assessment of the degree of economic risk for the situation of decision-making, under load of the nonstochastic (nonprobabilistic) uncertainty. The research implemented the task of further development of fuzzy-multiple risk measurement instrumentarium for the case of simultaneous nonstochastic uncertainty of assessments of the criterial economic indicator (criterion) and its norm. In accordance with the set goal and methodical approach to the interpretation of fuzzy assessments on the basis of an analogy between random and fuzzy values in the work a number of practically significant situations determined by the nature of the nonstochastic assessments of the criterial economic indicator and its norm were consistently considered, for each of these mathematical ratios were found to calculate the degree of risk. The proposed calculation formulas were tested on conventional examples. The results of the tests showed the capability of the developed computing apparatus. The research also focuses on the situation of risk measurement, when the assessment of the criterial economic indicator is modeled as a random variable, while its normative level is described by an assessment, either interval or fuzzy. As a perspective direction of further scientific research on the issues raised in the article, the formation of some generalized methodology for quantitative assessment of the degree of economic risk, which would allow to measure the risk for various situations of information uncertainty from a single theoretical position, is defined.
format	article
author	Kotsyuba Oleksiy S.
author_facet	Kotsyuba Oleksiy S.
author_sort	Kotsyuba Oleksiy S.
title	Measurement of Economic Risk for a Non-Probabilistic Problem Formulation
title_short	Measurement of Economic Risk for a Non-Probabilistic Problem Formulation
title_full	Measurement of Economic Risk for a Non-Probabilistic Problem Formulation
title_fullStr	Measurement of Economic Risk for a Non-Probabilistic Problem Formulation
title_full_unstemmed	Measurement of Economic Risk for a Non-Probabilistic Problem Formulation
title_sort	measurement of economic risk for a non-probabilistic problem formulation
publisher	Research Centre of Industrial Problems of Development of NAS of Ukraine
publishDate	2021
url	https://doaj.org/article/d97ef07eccaa4fdf83f08b4d7d9a12cd
work_keys_str_mv	AT kotsyubaoleksiys measurementofeconomicriskforanonprobabilisticproblemformulation
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Measurement of Economic Risk for a Non-Probabilistic Problem Formulation

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