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Abstract <p>The modeling approach based on the concept of a fuzzy cognitive map for studying complex processes occurring in the permafrost zone has been specified. The corresponding complex system is represented as an oriented graph, where the vertices correspond to factors and the edges are causal relationships between them. Mathematical properties related to the distribution of influence of input factors in the cognitive map have been described. The concept of influence has also been generalized for interactions between internal factors. A specialized model of the relationship between climate factors and the factors of permafrost soil structure and state has been developed. The model weights have been calibrated using available observational data to establish correlations mediated through the complex system.</p>

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Cognitive Factor Modeling and Its Use to Study Complex Processes in the Cryolithozone

  • 期刊论文

  • 发表日期：

    2026年6月15日

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  • V. I. Baluta,
  • S. S. Varykhanov,
  • V. P. Osipov,
  • Yu. G. Rykov,
  • B. N. Chetverushkin

摘要

Abstract

The modeling approach based on the concept of a fuzzy cognitive map for studying complex processes occurring in the permafrost zone has been specified. The corresponding complex system is represented as an oriented graph, where the vertices correspond to factors and the edges are causal relationships between them. Mathematical properties related to the distribution of influence of input factors in the cognitive map have been described. The concept of influence has also been generalized for interactions between internal factors. A specialized model of the relationship between climate factors and the factors of permafrost soil structure and state has been developed. The model weights have been calibrated using available observational data to establish correlations mediated through the complex system.