Optimised Generalised Type-2 Join and Meet Operations

Sarah Greenfield, R. John
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引用次数: 45

Abstract

The inferencing stage of a type-2 fuzzy inferencing system is driven by join and meet operations. As conventionally implemented these algorithms are computationally complex. This article introduces optimised implementations for these operations. These alternative procedures pre-suppose that the grid method of discretisation is adopted. Time comparisons between the alternative and conventional implementations have been undertaken, for join and meet operations coded firstly in isolation, and secondly, within a full prototype type-2 fuzzy inferencing system. The experimental results show that the optimisation affords marked time reduction, particularly under finer discretisation.
优化的泛化型2连接和满足操作
二类模糊推理系统的推理阶段由连接和满足操作驱动。按照惯例,这些算法在计算上是复杂的。本文将介绍针对这些操作的优化实现。这些备选程序的前提是采用离散化的网格方法。对于join和meet操作,首先在隔离中编码,其次在完整的原型2型模糊推理系统中编码,对替代实现和传统实现进行了时间比较。实验结果表明,优化可以显著缩短时间,特别是在更精细的离散化情况下。
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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