模糊生产系统计算的压缩规则

A. Bugariin, S. Barro, R. Ruíz
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引用次数: 14

摘要

作者分析了具有关联规则的模糊生产系统的推理过程。在由一组关联模糊条件语句描述的模糊生产系统中,获得推理过程的特点是需要执行非常多的操作。在开发过程中,通过将规则库部分压缩成准时值,可以实现重要的简化。这些值总结了与变量相关的语言值之间的关系,这些变量建立了模糊条件语句之间的联系。因此,可以大大减少计算时间和存储内存需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compacting rules for fuzzy production system computation
The authors analyze the inference process in fuzzy production systems which have linked rules. The process for obtaining inferences in fuzzy production systems described by a base of linked fuzzy conditional statements is characterized by a very high number of operations to be performed. During the development of the process, an important simplification may be achieved by means of a partial compaction of the rule base into punctual values. The values summarize the relationship between the linguistic values associated with the variables, which establish links between fuzzy conditional statements. As a consequence, an important reduction in the computation time and in the storage memory requirements can be achieved.<>
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