Development algorithm-fuzzy logic models management and decision making

DOI №_____

Authors

  • К. С. Козелкова, (Kozelkova K. S.) State University of Telecommunications, Kyiv
  • М. М. Степанов, (Stepanov M. M.) State University of Telecommunications, Kyiv
  • Я. І. Торошанко, (Toroshanko Ya. I.) State University of Telecommunications, Kyiv
  • Т. В. Уварова, (Uvarova T. V.) The National Defence University of Ukraine named after Ivan Cherniakhovskyi, Kyiv

Abstract

In reality, when a problem arises formal description of the management process quite difficult, you need to consider several external factors (parameters) and their value, potentially tend to infinity. In this case, the reaction system is not limited to one administrator action. To automate the process of compiling all possible combinations of linguistic descriptions of variables during conditional statements and fuzzy decision-making on the use of control actions in developing management models and decision-making is proposed to use fuzzy logic models. Uncertainty assignment of certain parameters in the calculations practically not taken into account or, subject to certain assumptions and assumptions, inaccurate parameters are replaced by expert estimates or averages (weighted average) values. Such a situation may occur due to a lack of knowledge of objects, and from participation in the management of a person or group of persons. The peculiarity of these systems is that much of the information needed for their mathematical description, is in the form of ideas or wishes experts.
The article proposed solving the problem by automating the design process, fuzzy logic models and management decisions that have been resolved through the development and formulation of the basic principles of fuzzy logic control various processes, systems and facilities, as well as structural-functional model of automated development fuzzy logic models, decision, formalization of the design process, fuzzy logic models of management and decision making. The ways of constructing algorithms convert input disturbances complex systems in the conceptual relationship to automate the management and decision support. Value fuzzy logic system is used for formalization, processing and decision-making on the use of system control signals in response to external perturbation.

Keywords: linguistic model, fuzzy sets, control theory, input perturbation system, control signals.

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No. 3 (2018)

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Articles