摘要
在模糊信息处理中,针对模糊信息未知度的度量,结合Fuzzy集和Vague集的特点,以投票模型为例,对Vague集向Fuzzy集转化的方法进行分析,说明均值法与比例法存在的问题,提出一种新的有效转化方法,并通过实例说明其有效性。
In Fuzzy information processing,based on the features of Vague sets and Fuzzy sets,taking voting model as an example,methods for transforming Vague sets into Fuzzy sets are analyzed,and problems of the mean method and the ratio method are discussed to measure Fuzzy information ignorance in this paper.Finally,a new transformation method is presented,and its validity is explained by taking examples.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第9期24-25,45,共3页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(编号:60374033)
江苏省自然科学基金资助项目(编号:BK2002064)
