语言值直觉模糊二元组表示模型  

Linguistic-Valued Intuitionistic Fuzzy 2-Tuple Representation Model

作　　者：邹丽[1,2] 张云霞[1] 高伟[1] 

机构地区：[1]辽宁师范大学计算机与信息技术学院,大连116081 [2]南京大学计算机软件新技术国家重点实验室,南京210093

出　　处：《模式识别与人工智能》2014年第5期394-402,共9页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金项目(No.61105059;61175055;61372187);国家自然科学基金国际合作与交流项目(No.61210306079)资助

摘　　要：基于语言真值直觉模糊格,提出一种语言值直觉模糊二元组表示模型.讨论模型中语言值直觉模糊对的运算及其性质.给出语言值直觉模糊聚合算子,即语言值直觉模糊算术平均算子和语言值直觉模糊加权平均算子,实现语言值直觉模糊对的聚合,减少语言值直觉模糊对聚合过程中的信息损失.将此方法用于模糊模式识别中,并以疾病诊断识别过程说明该方法在具有正反两面证据的模糊环境下的有效性.A kind of linguistic-valued intuitionistic fuzzy 2-tuple representation model is proposed based on the linguistic truth-valued intuitionistic fuzzy lattice. The operations and the properties of linguistic-valued intuitionistic fuzzy pair are discussed. Based on the proposed model, a kind of linguistic-valued intuitionistic fuzzy aggregation approach is defined. Arithmetic mean aggregation operator and weighted average aggregation operator are given respectively. Using the aggregation operations of the linguistic-valued intuitionistic fuzzy pairs, the information loss is reduced in the process of the aggregation for linguistic-valued intuitionisttic fuzzy pair. A recognition process of disease diagnosis is given to illustrate that the proposed approach is more effective for pattern recognition under a fuzzy environment with both positive evidence and negative evidence.

关 键 词：二元组 语言值直觉模糊格 模糊模式识别 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] O159[自动化与计算机技术—计算机科学与技术]