一种基于OWA算子的区间值模糊推理方法
An interval-valued fuzzy inference method based on OWA operator
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摘要: 提出了一种基于区间值模糊集近差的双阈值多重多维模糊推理方法.通过基于组合数的OWA算子赋权方法计算出区间值模糊规则前件的各个权值,并且在计算区间值模糊集近差的时候,考虑区间值的上限和下限对计算近差的影响程度不同,以及论域中各因素或属性对于结论的重要性不尽相同的情况,从而过滤掉一些不必要的规则.算例分析表明,该方法更接近实际推理,结果便于应用.Abstract: A dual threshold multiple multi-dimensional interval-valued fuzzy inference method based on similarity measure of interval-valued fuzzy sets was put forward. An OWA operator weighting method based on combinatorial number is used to calculate the weight of each interval-valued fuzzy rule antecedent, and in the calculation of similarity measure of interval-valued fuzzy sets, consider the effect of the upper and lower range of interval-values are different for calculating the similarity measure, and the importance of each factor or attribute for the conclusion is different, so as to filter out some unnecessary rules.Example analysis showed that this method is closer to the actual inference, the results are convenient for application.
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