Compacting rules for fuzzy production system computation

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

Abstract

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.<>
模糊生产系统计算的压缩规则
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。
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