Academic Journal

Implementation the fuzzy modeling technology by means of fuzzyTECH into the process of management the riskiness of business entities activity

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Implementation the fuzzy modeling technology by means of fuzzyTECH into the process of management the riskiness of business entities activity
Συγγραφείς: Achkasova, Svitlana
Πηγή: Східно-Європейський журнал передових технологій; Том 5, № 3 (107) (2020): Процеси управління; 39-54
Восточно-Европейский журнал передовых технологий; Том 5, № 3 (107) (2020): Процессы управления; 39-54
Eastern-European Journal of Enterprise Technologies; Том 5, № 3 (107) (2020): Control processes; 39-54
Στοιχεία εκδότη: Private Company Technology Center, 2020.
Έτος έκδοσης: 2020
Θεματικοί όροι: нечеткое моделирование, рискованность деятельности, инструментарий нечетких множеств, лингвистическая переменная, 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, нечітке моделювання, ризиковість діяльності, інструментарій нечітких множин, лінгвістична змінна, 02 engineering and technology, fuzzy modelling, risks of activity, fuzzy set tools, linguistic variable, UDC [004.4.\6]+330.3, 0101 mathematics, 01 natural sciences
Περιγραφή: The study was carried out as essential for increasing the importance of the issue of introducing fuzzy modelling by means of fuzzyTECH to manage the risks of activities. It has been determined that the feasibility of using fuzzyTECH-based fuzzy modelling is explained by the fact that there is a possibility to specify the levels and values of linguistic variables for these levels. Moreover, the fuzzyTECH software package makes it possible to automate this process. A block diagram of the algorithm was built to introduce fuzzy modelling by means of fuzzyTECH into managing the risks of economic entities. The proposed steps are general for use by economic entities in various fields of activity. Based on the constructed block diagram of the managerial decision-making algorithm, it is advisable to apply it at the level of intermediate values of the intervals of each individual indicator, as well as for the obtained levels of risk of the activities of economic entities. These levels of risk were determined to be very high, high, medium, low, and very low. Depending on the level of risk to economic entities, it is advisable to develop appropriate measures and make managerial decisions. It is essential to include among them the development of measures for quick and gradual responses, tactical and strategic, as well as measures already at the level of the economic entity’s strategy. In order to test the block of the algorithm responsible for the assessment, the system of techniques for assessing the risks of activities was tested for the studied economic entities. The intervals of the values of the scale selected to assess to indicators were obtained; a fuzzy model to estimate the risks of the economic entities by means of fuzzyTECH was built, set, and tested, and a system of fuzzy inference was obtained. Using the tools of fuzzy sets, a model for calculating the number of points for the aggregate assessment of the risks of the researched economic entities was built. It constitutes the preconditions for the transfer of the obtained scientific and practical results already into the system of risk-oriented management of economic entities
Τύπος εγγράφου: Article
Περιγραφή αρχείου: application/pdf
ISSN: 1729-4061
1729-3774
DOI: 10.15587/1729-4061.2020.209836
Σύνδεσμος πρόσβασης: http://journals.uran.ua/eejet/article/download/209836/215299
http://journals.uran.ua/eejet/article/view/209836
http://journals.uran.ua/eejet/article/download/209836/215299
https://cyberleninka.ru/article/n/implementation-the-fuzzy-modeling-technology-by-means-of-fuzzytech-into-the-process-of-management-the-riskiness-of-business
http://journals.uran.ua/eejet/article/view/209836
Rights: CC BY
Αριθμός Καταχώρησης: edsair.doi.dedup.....62b5b9b554e007d37d21d2d279d28c1b
Βάση Δεδομένων: OpenAIRE
Περιγραφή
ISSN:17294061
17293774
DOI:10.15587/1729-4061.2020.209836