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Exploration of fuzzy system in decision making#x2014;relationship of fuzzy error logic decomposition word Tf and connotative antithesis +nhdl

机译:模糊系统在模糊误差逻辑分解词T F 和内涵对立+ NHDL 中的探索

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With the developing of fuzzy systems, more and more advanced control algorithms are being used, in order to make the fuzzy systems more intelligence. Among these advanced control algorithms, the systems always have more or less errors and demerits in them, which will cost the system a lot to reduce. In the worst situation, these errors and demerits can ruin the whole system. The major aim of this paper is to explore the conditions, methods and rules of the fuzzy system errors change or transformation, we mainly discuss the relationship of fuzzy error logic decomposition word Tf and connotative antithesis +nhdl. Then, we can get theorems 4.1, 4.2, 4.3, and 4.4, which can be widely used in fuzzy system errors eliminating. By studying this theory, the errors in the fuzzy system can maximally be eliminated.
机译:随着模糊系统的发展,正在使用越来越先进的控制算法,以使模糊系统更有智能。在这些先进的控制算法中,系统总是在它们中始终有更多或更少的错误,并在它们中缺少,这将使系统降低批次。在最糟糕的情况下,这些错误和缺点可以毁了整个系统。本文的主要目的是探讨模糊系统误差变化或转换的条件,方法和规则,我们主要讨论模糊误差逻辑分解词T F 和内涵对立+ nhdl 。然后,我们可以获得4.1,4.2,4.3和4.4的定理,可广泛用于消除模糊系统错误。通过研究这个理论,模糊系统中的误差可以最大化。

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