【摘要】 针对语言值推理中信息缺失的问题,基于直觉模糊集和语言值直觉模糊二元组表示模型,对多重多维模糊推理方法进行扩展,提出了语言值直觉模糊二元组的多重多维推理方法及一种先聚合规则再进行推理的扩展方法.该方法可以有效减少推理过程中语言值信息的缺失,通过将此方法应用于实例中说明了合理性.更多还原

【Abstract】 Aiming at the problem of information loss in the linguistic-valued reasoning,based on the intuitionistic fuzzy sets and linguistic-valued intuitionistic 2-tuple representation model,we extend the multiple multi-dimensional reasoning methods and propose a multiple multi-dimensional reasoning method based on the linguistic-valued intuitionistic 2-tuple and an approach of aggregating rules for further reasoning. This method can reduce the information loss effectively during the reasoning,and we illustrate the rationality by applying this method to the daily example.更多还原