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A comparison of direct fuzzy reasoning methods

机译:直接模糊推理方法的比较

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摘要

In order to develop a better understanding of the Zadeh, Turksen and Sugeno type inference methods, we investigate the performance characteristics of eight reasoning alternatives for comparison of their results from the perspective of precision and execution time. The reasoning precision, the calculation time and the number of valid input cases for reasoning differ according to each reasoning method. The implementation of the reasoning methods for systems modeling should be oriented toward obtaining a good precision, a short calculation time and flexibility to cope with all case data points. However, a different method needs to be used depending on measurement.
机译:为了更好地理解Zadeh,Turksen和Sugeno类型推断方法,我们从精度和执行时间的角度研究了八种推理方法的性能特征,以比较其结果。每种推理方法的推理精度,计算时间和可用于推理的有效输入案例数均不同。用于系统建模的推理方法的实现应面向获得良好的精度,较短的计算时间以及应对所有案例数据点的灵活性。但是,根据测量需要使用不同的方法。

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