ПРОБЛЕМЫ АНАЛИЗА ОТРАСЛЕВОЙ ЭКОНОМИЧЕСКОЙ УСТОЙЧИВОСТИ СРЕДСТВАМИ НЕЧЁТКОЙ ЛОГИКИ

Abstract

During the analysis of economic resilience of enterprises and industries within existing scientific approaches based on fuzzy sets and soft computing methodology, a number of problems have arisen that require solutions, namely: a) making adjustments to existing linguistic norms of resilience factors; b) incorporating mechanisms of intelligent filtering when forming industry indices; c) improving the accuracy of decision models embedded in the corresponding strategic map. This article describes a series of problematic cases that can be improved within the proposed approaches, including by: a) transitioning from interval membership functions in the classifier to trapezoidal ones; b) excluding noise-contaminated context from the sample that has been rejected based on formal criteria; c) phasifying decision parameters on the strategic map as part of a 4х6 matrix. In the latter case, the technology of pairwise comparison of fuzzy numbers is applied to assess the risk of inefficiency in the decision-making process. It can be formulated that in solving problems related to fuzzy descriptions, we have proposed a series of solutions using the same fuzzy descriptions, but in a more advanced version. In fact, we suggest upgrading a number of previously proven approaches for analyzing economic resilience within the fuzzy scientific paradigm.