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Using fuzzy logic for solution of economic tasks - two examples of decision making under uncertainty

Author

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  • Vladimir Chernov
  • Oleksandr Dorokhov
  • Liudmyla Dorokhova
  • Vladimir Chubuk

Abstract

Paper is devoted to applying the principles and approaches of fuzzy logic and fuzzy modelling to the solution of applied economic problems in conditions of uncertainty. There are presents the formulation and formalization of the problem, the theoretical foundation of the proposed approach to the solutions, and the practical examples for two tasks of management and economic decisions making.

Suggested Citation

  • Vladimir Chernov & Oleksandr Dorokhov & Liudmyla Dorokhova & Vladimir Chubuk, 2015. "Using fuzzy logic for solution of economic tasks - two examples of decision making under uncertainty," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 11(1), pages 85-100.
    • Handle: RePEc:mje:mjejnl:v:11:y:2015:i:1:p:85-100
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    Cited by:

    1. Vladimir Chernov & Luidmyla Dorokhova & Oleksandr Dorokhov, 2016. "Fuzzy Approach to Estimates Entropy and Risks for Innovative Projects and Programs," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 12(3), pages 55-68.
    2. Panagiotis Christias & Ioannis N. Daliakopoulos & Thrassyvoulos Manios & Mariana Mocanu, 2020. "Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support," Mathematics, MDPI, vol. 8(5), pages 1-26, May.

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