计算机工程与应用2016，Vol.52Issue(14)：54-61,8.DOI:10.3778/j.issn.1002-8331.1601-0211
基于Tversky参数化的犹豫模糊集相似性测度研究
Research about similarity measure of hesitant fuzzy set based on Tversky’s parameterized model
摘要
Abstract
Since former hesitant fuzzy similarity measure function cannot calculate the original data completely, this paper proposes a new kind of hesitant fuzzy similarity measure based on Tversky’s parameterized ratio model of similarity. Then it analyzes the conversion form of differential coefficient under the condition of different demand. And it also applies the hesitant fuzzy similarity measure to cluster analysis based on hesitant fuzzy information. The new similarity measure can avoid the inaccuracy of the raw data information caused by adding or taking specific values. By assigning to the differ-ential coefficient, it also can obtain many groups of comparable results, and the results can reflect the well dynamics and numerical accuracy of the new similarity measure.关键词
犹豫模糊Tversky相似性测度/犹豫模糊集/Tversky参数化比率相似性模型/聚类分析Key words
hesitant fuzzy Tversky similarity measure/hesitant fuzzy set/Tversky’s parameterized ratio model of similarity/cluster analysis分类
信息技术与安全科学引用本文复制引用
彭定洪,聂军..基于Tversky参数化的犹豫模糊集相似性测度研究[J].计算机工程与应用,2016,52(14):54-61,8.基金项目
国家自然科学基金（No.61364016）；中国博士后科学基金（No.2014M550473，No.2015T80990）；云南省应用基础研究计划项目（No.2014FB136）；云南省教育厅科学研究基金（No.2015Y083）。 （）
