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基于Vague值的扩展的Vague集间的相似度量
SIMILARITY MEASURE BETWEEN VAGUE SETS BASED ON THE EXPANSION OF A VAGUE VALUE
【摘要】 研究Vague值的(tx,fx)扩展的性质,给出Vague集间相似度量公式的公理化定义,提出一类基于(tx,fx)扩展的Vague集之间的相似度量。应用于模式识别的例子表明这类公式是实用的。
【Abstract】 The properties of(tx,fx)expansion of a Vague value were studied,and an axiomatic definition of similarity measure between Vague sets was introduced,a class of similarity measures between Vague sets based on(tx,fx) expansion was presented as well.An example used for pattern recognition shows that these formulae are practicable.
【关键词】 (tx,fx)扩展;
相似度量;
模式识别;
【Key words】 (tx; fx) expension Similarity measures Pattern recognition;
【Key words】 (tx; fx) expension Similarity measures Pattern recognition;
【基金】 海南省教育厅资助项目(Hjkj2008-46,Hjkj200732)
- 【文献出处】 计算机应用与软件 ,Computer Applications and Software , 编辑部邮箱 ,2009年03期
- 【分类号】TP18
- 【被引频次】2
- 【下载频次】95