Financial risk assessment of corporations in the system output Mamdani-Zadeh
DOI:
https://doi.org/10.21847/1728-9343.2013.6(126).20560Keywords:
risk, corporation, fuzzy sets, financial risk, integrated risk assessmentAbstract
Ensuring sustainable development of the national economy is impossible without effective management of domestic corporations, the implementation of risk management systems in corporations, requires reliable assessment of the risks of modern corporations. Financial risks are the most threatening to the successful operation and development corporations, so their score will increase the efficiency of forecasting and risk management corporations. In this paper the technique of integral assessment of the financial risk of corporations based on fuzzy inference system Mamdani-Zadeh. Іt is universal and can be applied in other areas (industrial, commercial, investment, innovation). The developed method of estimating the integral of the financial risk of corporations can be used in decision-making processes of the operation and prediction of corporate activities and allows you to improve as a methodology of modern risk management, and risk management practices of domestic corporations.
References
Зак Ю. А. Принятие решений в условиях нечетких и размытых данных: Fuzzy-технологии / Ю. А. Зак. - М. : Либроком, 2013. - 352 с.
Зайченко Ю. П. Нечіткі моделі й методи в інтелектуальних системах / Ю. П. Зайченко. - К. : Видавничий дім "Слово", 2008. - 344 с.
Леоненков А. Нечеткое моделирование в среде Matlab и FuzzyTech / А. Леоненков. - СПб. : БХВ-Петербург, 2005. - 725 c.
Cox E. Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration / E. Cox. - Morgan Kaufmann, 2005. - 530 р. - (The Morgan Kaufmann Series in Data Management Systems).
Mamdani E. An Experimentin Linguistic Synthesis with Fuzzy Logic Controller / E. Mamdani, S. Assilian // Int. J. Man-Machine Studies. - 1975. - Vol. 7. - № 1. - Pр. 1-13.
Недосекин А. Оценка риска бизнеса на основе нечетких данных : [монография] / А. О. Недосекин. - СПб., 2004. - 100 с.
Внукова Н. М. Економічна оцінка ризику діяльності підприємств: проблеми теорії та практики : [монографія] / Н. М. Внукова, В. А. Смоляк. - Х. : ІНЖЕК, 2006. - 182 с.
Камінський А. Б. Економіко-математичне моделювання фінансових ризиків : дис. … доктора екон. наук : 08.00.11 "Математичні методи, моделі та інформаційні технології в економіці" / А. Б. Камінський. - К., 2007. - 415 с.
Матвійчук А. В. Моделювання та аналіз економічних систем на підґрунті теорії нечіткої логіки : диc. … доктора екон. наук : 08.00.11 "Математичні методи, моделі та інформаційні технології в економіці" / А. В. Матвійчук. - К. : ТНЕУ, 2007. - 425 с.
REFERENCES
Zak Yu. A. (2013), Decision-making under fuzzy and blurry data: Fuzzy-technology, Librokom, Moscow, 352 p. (rus).
Zaichenko Yu. P. (2008), Fuzzy models and methods in intelligent systems, Vydavnychyi dim «Slovo», Kyiv, 344 p. (ukr).
Leonenkov A. (2005), Fuzzy modeling in Matlab and FuzzyTech, St. Petersburg, 725 p. (rus).
Cox E. (2005), Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration (The Morgan Kaufmann Series in Data Management Systems), Morgan Kaufmann, 530 р. (engl).
Mamdani E., Assilian S. (1975), An Experimentin Linguistic Synthesis with Fuzzy Logic Controller, Int. J. Man-Machine Studies, Vol. 7, No. 1, pp. 1-13 (engl).
Nedosekin A. (2004), Assessment of business risk on the basis of fuzzy data, monograph, St. Petersburg, 100 p. (rus).
Vnukova N. M. (2006), Economic risk assessment of enterprises: problems of theory and practice, monograph, Kharkiv, 182 p. (ukr).
Kaminskyi A. B. (2007), Economic modeling of financial risks, Thesis for the degree of doctor of economic sciences after specialty 08.00.11 “Mathematical methods, models and information technologies in economics”, Taras Shevchenko National university of Kyiv, Кyiv, 415 p. (ukr).
Matviichuk A. V. (2007), Modeling and analysis of economic systems on the basis of the theory of fuzzy logic, Thesis for the degree of doctor of economic sciences after specialty 08.00.11 “Mathematical methods, models and information technologies in economics”, Kyiv, 425 p. (ukr).
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