基于(tx,fx)扩展的Vague集之间的相似度量及其应用  

Similarity measures between Vague sets based on(tx,fx) expansion and its application

作　　者：符晓芳[1] 张福金[2] 王鸿绪[1] 

机构地区：[1]琼州学院数学系 [2]琼州学院物理系,海南五指山572200

出　　处：《计算机应用》2008年第6期1595-1597,共3页journal of Computer Applications

基　　金：海南省自然科学基金资助项目(80473);海南省教育厅资助项目(HJKJ200732HJKJ2008-46)

摘　　要：基于Vague值的三维表示,(tx,fx)扩展和模糊集运算,给出Vague集间的相似度量的三个系列公式。提出Vague集间的相似度量在网络信息过滤问题中的应用思路及例子。此例表明这些新公式是实用的。Three series of similarity measures formulas between Vague sets based on three-dimensional representation and （ tx, fx ） expansion and fuzzy set operations were presented. The thoughts and an example of applying the similarity measures between Vague sets to the network information filtered problem were given. This example shows that the new formulas are practicable.

关 键 词：VAGUE集 三维表示 (tx fx)扩展 模糊集运算 相似度量 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]