摘要
The paper draws comparison and analysis among present similarity measure methods in the case of similari-ty measures between Vague values, provides a new similarity measure method, of which discusses on the normalcharacteristics, gives some relative character theorems. At the same time, it analyzes the application of fuzzy similari-ty measures in vague similarity measures and gives its normal forms such as similarity measures between Vague sets,between elements and their weighted similarity measures. Finally, vague entropy rule respectively aiming at twokinds of cases is approached and its corresponding vague entropy expressions is provided. The content of this paper isof practical significance in such fields as fuzzy decision-making, vague clustering, pattern recognition, data miningetc.
The paper draws comparison and analysis among present similarity measure methods in the case of similarity measures between Vague values, provides a new similarity measure method, of which discusses on the normal characteristics, gives some relative character theorems. At the same time, it analyzes the application of fuzzy similarity measures in vague similarity measures and gives its normal forms such as similarity measures between Vague sets, between elements and their weighted similarity measures. Finally, vague entropy rule respectively aiming at two kinds of cases is approached and its corresponding vague entropy expressions is provided. The content of this paper is of practical significance in such fields as fuzzy decision-making, vague clustering, pattern recognition, data mining etc.
出处
《计算机科学》
CSCD
北大核心
2002年第12期129-132,共4页
Computer Science
