Decision support methods as a tool of the information asymmetry reduction

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Abstract

The main purpose of this article is to identify the main problems of extracting knowledge from information. The analysis of the decision support methods and their ability to reduce information asymmetry in various fields of activity. Consideration of the impact of reducing the level of the information distortion on the sectors of the economy. As a methodology for solving this problem, a systematic approach and the method of fuzzy preference relations, used for a more in-depth study of the motivational preferences of individuals, are chosen. For overcoming of the negative consequences of the collapse of the financial system, the authors propose to influence the intangible motives of both employees and entrepreneurs. It should also be noted that to activate the motivational mechanisms it is required a certain level of the information quality, so the article proposes the author's method of the information flow management.

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Skiter, N. N., Akimova, O., Vitalieva, E., Dneprovskaya, I., & Ketko, N. (2019). Decision support methods as a tool of the information asymmetry reduction. In Studies in Computational Intelligence (Vol. 826, pp. 1171–1183). Springer Verlag. https://doi.org/10.1007/978-3-030-13397-9_120

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