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The Use of Cognitive Modeling in Solving Problems of Ecological Sustainability of the Region

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Recent Developments and the New Directions of Research, Foundations, and Applications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 422))

Abstract

The paper shows the prospects for combining two modeling platforms in a hybrid system of difficult to formalize tasks, the description of which is possible both at the cognitive and functional levels. One of the most difficult problems for the management involved in developing a strategy for the sustainable development of a region is understanding the complex causal chains that determine the impact of external and internal conditions on the environment. Today, this problem is compounded by the growing complexity and instability of the economic environment, leading to numerous uncertainties and risks.

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References

  1. Ginis, A., Kolodenkova, A.E.: Fuzzy cognitive modeling to prevent risk situations at critical infrastructure facilities. Bull. UTATU. 2017 21, 4(78), 113–120 (2017).

    Google Scholar 

  2. Clerk Maxwell, J.: A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford, Clarendon, pp. 68–73 (1892)

    Google Scholar 

  3. Kolesnikov, V.L., Brakovich, A.I., Zhuk, Y.A.: Phasing and defusing data for solving multicriteria problems. Physics and mathematics and informatics. In: Works of BSTU. 2013 vol. 6, pp. 125–127. K. Elissa, “Title of Paper If Known,” unpublished

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  4. Pervozvanskiy, A.A.: Course of the Theory of Automatic Control. Moscow, Nauka (1986)

    Google Scholar 

  5. Bozhenyuk, A.V., Ginis, L.A.: Application of fuzzy models for the analysis of complex systems. Control Syst. Inf. Technol. 51(1.1), 122–126 (2013)

    Google Scholar 

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Correspondence to A. B. Hasanov .

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Hasanov, A.B. (2023). The Use of Cognitive Modeling in Solving Problems of Ecological Sustainability of the Region. In: Shahbazova, S.N., Abbasov, A.M., Kreinovich, V., Kacprzyk, J., Batyrshin, I.Z. (eds) Recent Developments and the New Directions of Research, Foundations, and Applications. Studies in Fuzziness and Soft Computing, vol 422. Springer, Cham. https://doi.org/10.1007/978-3-031-20153-0_14

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