MODERN METHODS AND MODELS OF FUNCTIONING INSURANCE MARKET
Journal Title: Науковий вісник Ужгородського національного університету. Серія: Міжнародні економічні відносини та світове господарство - Year 2018, Vol 21, Issue 2
Abstract
The necessity of using modern Data Mining methods for modeling various functioning of the insurance market in conditions of increasing competition and increasing risks caused by the global financial crisis is shown and justified. The paper provides a brief overview of the classical models for assessing the solvency of insurance companies, and points out the main drawbacks of the classical models. Analyzed the evolution of classical models in the direction of their improvement by using such modern modeling tools as neural networks, cognitive maps, simulation modeling, fuzzy logic, etc. The experience of using neural networks, in particular, Kohonen self-organizing cards, for clustering the insurance market is summarized.
Authors and Affiliations
V. H. Miachyn, О. B. Yavors’ka
Keywords
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- EP ID EP510116
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