Vague值与Vague集的多测度相似度量  

Multi-measures Similarity Measures Between Vague Values(Sets)

作　　者：韦波[1] 黎珍惜[1] 

机构地区：[1]桂林理工大学测绘地理信息学院,广西桂林541004

出　　处：《小型微型计算机系统》2012年第6期1324-1328,共5页Journal of Chinese Computer Systems

基　　金：广西科学研究与技术开发计划项目(10123012-9)资助;广西自然科学基金项目(0991248)资助;广西研究生教育创新计划项目(2011105960816M14)资助

摘　　要：针对Vague值(集)相似度量问题,指出了采用单一测度构造Vague值(集)相似度量的不足,根据不同测度表现的不同相似性度量特点,提出了两种由距离测度、未知度测度和熵测度三种测度结合的Vague值(集)多测度相似度量,并给出了相应的定义和性质.多测度相似度量体现出了多特征度量相似性的特点,若距离与熵测度失效,未知度测度仍能发挥作用,而距离与熵测度度量结果的综合,则进一步提高了分辨力.实例验证了该多测度相似度量的有效性和优越性.To the problems of similarity measures between Vague values（sets）,the shortages for constructing similarity measures between Vague values（sets） on a single measure are pointed.According to the different characteristics of measuring similarity in different measures,two similarity measures on multi-measures between Vague sets are proposed,which combine three measures including the measures of distance,unknown degree and entropy.The corresponding definitions and properties of the two proposed multi-measures similarity measures are presented.Multi-measures similarity measures embody a characteristic in measuring similarity by multi-features,which the measure of unknown degree is still effective if the measures of distance and entropy are ineffective,and the measuring result combined by the measures of distance and entropy make further improvement on the distinguishing ability.The examples verify the validity and the advantage of the proposed multi-measures similarity measures.

关 键 词：VAGUE集 VAGUE值 相似度量 多测度 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]