语言值直觉模糊二元组的多重多维推理方法  

A Multiple and Multi-Dimensional Reasoning Method of Linguistic-Valued Intuitionistic Fuzzy 2-Tuple

作　　者：郑宏亮[1] 潘畅[1] 邹丽[1] 

机构地区：[1]辽宁师范大学计算机与信息技术学院,辽宁大连116081

出　　处：《南京师大学报（自然科学版）》2017年第4期47-56,共10页Journal of Nanjing Normal University(Natural Science Edition)

基　　金：辽宁省自然科学基金(2015020059);国家自然科学基金(61772250)

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.Aiming at tlie problem of information loss in the linguistic-valued reasoning, based on the insets and linguistic-vvlued intuitionistic 2-tuple representation model, we extend the multiple multi-dimensional reasoning methods and propose a multiple multidimensional reasoning method based on the linguistic-valued intuitionistic 2-tupleand an approach of aggregating rules for further reasoning. This method can reduce the information loss effecthe reasoning, and we illustrate the rationality by applying this method to the daily example.

关 键 词：语言值直觉模糊格 语言值直觉模糊二元组表示模型 二元组推理 多重多维推理 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]