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- W3016592408 abstract "The analysis of known methods which are used for industrial clusters creation showed the presence of the most important stage—identification and integration potential evaluation of the formed integrations. At the same time, there are no constructive approaches and methods to analyze the state of such sociotechnical clusters, first of all, from the standpoint of their stability and development dynamics due to the significant number and heterogeneity of its constituent entities, a number of their qualitative characteristics, as well as a difficult complex system of interaction between them. At the same time the measure of interaction between the members of the cluster determines the need for its creation. The chapter presents a fuzzy cognitive model designed: first, to analyze the impact of relations between objects and identify sociotechnical clusters; second, to assess the degree of objects compliance to various industrial clusters based on the indicator values from a reasonable set. This model will make it possible to improve the industrial clusters efficiency by optimizing management decisions in the regional scientific and industrial system in terms of the impact on the output and input parameters that determine them. In addition, the inclusion of fuzzy cognitive modeling elements in the analytical and cluster forming decision-making system will allow to identify imbalances in the resulting performance of the innovative sphere of regional scientific and industrial complexes and improve the reliability and efficiency of region stability. As a practical example, confirming the hypothesis of the study, the described model was used to identify energy clusters in the Smolensk region." @default.
- W3016592408 created "2020-04-24" @default.
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- W3016592408 date "2020-01-01" @default.
- W3016592408 modified "2023-09-25" @default.
- W3016592408 title "Fuzzy Cognitive Model for Analysis of Influence Relations and Industrial Cluster Identification" @default.
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- W3016592408 doi "https://doi.org/10.1007/978-981-15-2244-4_50" @default.
- W3016592408 hasPublicationYear "2020" @default.
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