Authors Yu.O. Chernyshev, N.N. Ventsov, P.A. Panasenko
Month, Year 07, 2014 @en
Index UDC 681.3
Abstract The paper describes the process of formulating fuzzy based command enumeration and analytical representation of membership functions. Fuzzy command can be formulated as on the basis of one, and on the basis of two partially contradictory conditions specified by the membership function. Based on fuzzy teams developed the algorithm of search of design decisions. Assignment degree of compliance, listing tuples allows you to plot the membership functions of arbitrary shape, but in this case the required memory resources will increase in proportion to the frequency of sampling. The use of analytical way to set membership function numbers approximately close to x, due to the change of the parameter q, gives the opportunity to get graphics symmetric with respect to x. Analytical record of the membership function allows to minimize dependence on the sampling frequency domain. As a way of algorithm stopping is proposed to use the machine adaptation. Depth change memory of the machine adaptation allows you to adjust the inertia of the process of finding the optimal solution. The use of fuzzy teams to quickly manage the computing process, the use of machines adaptation allows you to adjust the results obtained.

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Keywords Fuzzy data; adaptation; decision making; intelligent systems; optimization.
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