Authors A.N. Tselykh, L.A. Tselykh
Month, Year 07, 2015 @en
Index UDC 004.891.2
Abstract The article deals with analytical procedures and algorithms in comparative cognitive modeling using fuzzy triangular numbers. The analytical process is demonstrated on the example of solving the problems of designing models of corporate governance based on the dynamic analysis of fuzzy cognitive models in order to effectively identify the internal representations of models (mental representations) and their practical application. In the study cognitive models have been built based on the strategic imperatives of corporate governance, causal and mutual influence (positive and negative) factors-concepts have been identified. The formation of cognitive models that are suitable for comparative analysis is made on the basis of segmentation factors-concepts influence in terms of their spatial and temporal becoming. The analysis of the most important components and relationships between concepts based on the interaction of the target and control factors of influence. Analytical procedures are presented based on the identification of groups of peremptory factors shaping the institutional framework of the system (internal and external), gaining an understanding of system design, the study of the movement of concepts in the evolution process of the system, visualization and interpretation of results. On the basis of mathematical processing and graphical representation of cognitive models analysis of serial sections has been made, which allows to identify the real action vectors of the system. This approach uses visualized cognitive function of the subject of management to illustrate the simulation results. The proposed approach for dynamic analysis of fuzzy cognitive models allows us to trace the evolutionary features of formation and development of the system based on the analysis of the movement of the imperative factors in the developed models systematically influencing the object of study.

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Keywords Comparative cognitive modeling; decision support; fuzzy cognitive maps.
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