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Measurement of Economic Risk for a Non-Probabilistic Problem Formulation
Kotsyuba O. S.

Kotsyuba, Oleksiy S. (2021) “Measurement of Economic Risk for a Non-Probabilistic Problem Formulation.” Business Inform 9:52–58.
https://doi.org/10.32983/2222-4459-2021-9-52-58

Section: Economic and Mathematical Modeling

UDC 519.81

Abstract:
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.

Keywords: uncertainty, fuzziness, risk, measurement of risk, degree of possibility, nonstochastic assessment, fuzzy value, fuzzy number.

Formulae: 42. Bibl.: 17.

Kotsyuba Oleksiy S. – Doctor of Sciences (Economics), Associate Professor, Professor, Department of Business Economics and Entrepreneurship, Kyiv National Economic University named after Vadym Hetman (54/1 Beresteiskyi Ave., Kyiv, 03057, Ukraine)
Email: [email protected]

List of references in article

Altunin, A. Ye., and Semukhin, M. V. Raschety v usloviyakh riska i neopredelennosti v neftegazovykh tekhnologiyakh [Calculations in Conditions of Risk and Uncertainty in Oil and Gas Technologies]. Tyumen: Izd-vo Tiumenskogo gosudarstvennogo universiteta, 2005.
Gavrilenko, M. A. “Primeneniye teorii nechetkikh mnozhestv v otsenke riskov investitsionnykh proektov“ [Application of the Theory of Fuzzy Sets in Assessing the Risks of Investment Projects]. Audit i finansovyy analiz. 2013. https://auditfin.com/fin/2013/5/2013_V_03_03.pdf
Derevyanko, P. M. “Modeli i metody prinyatiya strategicheskikh resheniy po raspredeleniyu realnykh investitsiy predpriyatiya s primeneniyem teorii nechetkikh mnozhestv“ [Models and Methods for Making Strategic Decisions on the Distribution of Real Investments of an Enterprise Using the Theory of Fuzzy Sets]: dis. ... kand. ekon. nauk : 08.00.13, 2006.
Kotsiuba, O. S. “Nechitko-mnozhynna metodolohiia yak suchasnyi pidkhid do modeliuvannia nevyznachenosti v upravlinni pidpryiemstvom“. [Fuzzy-plural Methodology as a Modern Approach to Modeling Uncertainty in Enterprise Management]. Neoekonomika ta imperatyvy rozvytku pidpryiemnytstva. Kyiv: KNEU, 2021.
Kotsiuba, O. S. “Otsiniuvannia stupenia ryzyku v razi odnochasnoi nechitkosti kryteriiu i normatyvu pryvablyvosti hospodarskoi diialnosti“ [Estimation of Risk Level under Fuzziness of Criterion and Normative Level of Economic Activities Performance]. Hlobalni ta natsionalni problemy ekonomiky. 2015. http://global-national.in.ua/archive/6-2015/195.pdf
Kotsiuba, O. S. “Rozvytok nechitko-mnozhynnoho aparatu vymiriuvannia ryzyku: vypadok odnochasnoi nechitkosti kryterialnoho pokaznyka ta yoho normatyvu“ [Development of a Fuzzy Set Apparatus for Risk Measurement: the Case of Simultaneous Fuzziness of the Criterion Indicator and its Standard]. Problemy ekonomiky, no. 4 (2019): 264-271. DOI: https://doi.org/10.32983/2222-0712-2019-4-264-271
Leonenkov, A. V. Nechetkoye modelirovaniye v srede MATLAB i fuzzyTECH [Fuzzy Modeling in MATLAB and FuzzyTECH]. St. Petersburg: BKhV-Peterburg, 2005.
Nedosekin, A. O. “Primeneniye teorii nechetkikh mnozhestv k zadacham upravleniya finansami“ [Application of the Theory of Fuzzy Sets to Financial Management Problems]. Audit i finansovyy analiz. 2000. https://auditfin.com/fin/2000/2/fin_2000_21_rus_04_01.pdf
Sevastyanov, P. V., and Sevastyanov, D. P. “Otsenka finansovykh parametrov i riska investitsiy s pozitsiy teorii nechetkikh mnozhestv“ [Assessment of Financial Parameters and Investment Risk From the Point of View of the Theory of Fuzzy Sets]. Nadezhnyye programmy, no. 1 (1997): 10-18.
Chernov, V. G. Modeli podderzhki prinyatiya resheniy v investitsionnoy deyatelnosti na osnove apparata nechetkikh mnozhestv [Decision Support Models in Investment Activities Based on the Apparatus of Fuzzy Sets]. Moscow: Goryachaya liniya-Telekom, 2007.
Georgescu, I. Possibility Theory and the Risk. Berlin: Springer-Verlag, 2012.
Liu, B. Theory and Practice of Uncertain Programming. Berlin: Springer-Verlag, 2002.
Moore, R. E. Interval analysis. New Jersey: Prentice-Hall, 1966.
Rutkowska, D. Neuro-Fuzzy Architectures and Hybrid Learning. New York: Physica-Verlag, 2002.
Vercher, E., and Bermudez, J. D. “A Possibilistic Mean-Downside Risk-Skewness Model for Efficient Portfolio Selection“. IEEE Transactions Fuzzy Systems, vol. 21, no. 3 (2013): 585-595. DOI: 10.1109/TFUZZ.2012.2227487
Vercher, E., and Bermudez, J. D. “Portfolio optimization using a credibility mean-absolute semi-deviation model“. Expert Systems Applications, vol. 42, no. 20 (2015): 7121-7131. DOI: https://doi.org/10.1016/j.eswa.2015.05.020
Zadeh, L. A. “Fuzzy Sets“. Information and Control. 1965. https://www-liphy.univ-grenoble-alpes.fr/pagesperso/bahram/biblio/Zadeh_FuzzySetTheory_1965.pdf

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