摘要:
对一些复杂的非线性系统的控制,Fuzzy语义推理有其巨大优越性,但由于客观过程的高
度复杂,条件语义与结论语义的对应关系很难由人预先较为确切地给定.在实际应用中,这个
对应关系最好能由控制系统自我调整或生成.
由于多因素推理结果对最终结论影响的权重是随机变化的,在大的复杂系统中,人难以掌
握权重的变化规律.本文还给出了解决权重变化规律自产生的一种算法.
Abstract:
For the control of complicated nonlinear systems, fuzzy semantic inference has
its great superiority. However, since the objective processes are very complicated, it is
difficult to exactly provide the correspoding relationship between the conditional semanteme
and conclusive semanteme in advance. For practical application, it is desirable
for this relationship to be obtained by self-adjusting or even self-generating in
the control system.
Furthermore, because the weight inference exerted by the inference consequence
of multi-factor input on the final consequence varies at random, the regularity of the
weight variance can hardly be observed in a large and complicated system. Therefore,
this paper presents an algorithm solving the self-generating of this regularity in a control
system with complicated processes.
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