FUZZY ROUGH COMMUNICATION AND OPTIMIZATION PROBLEM OF ITS TRANSLATION SEQUENCE

摘要：

The concept of rough communication of fuzzy concept is proposed. In a rough communication of fuzzy concept, the problem of uncertainty exists, for each agent has a different language and cannot provide precise communication to each other. The quantization analysis for the problem of information loss in a rough communication of fuzzy concept is discussed. Global optimal translation sequence of fuzzy rough communication is defined and its corresponding mathematical model is also given. By using α -rough communication cut,the relation theorem between rough communication of fuzzy concept and that of classical concept is obtained. Finally, a specific example of rough communication of fuzzy concept is given.

关键词： Fuzzy concept rough communication information measure global optimal translation sequence relation theorem example

作者: HONG-KAI WANG YAN-YONG GUAN BING-XUE YAO KAI-QUAN SHI

作者单位: School of Science, Jinan University, Jinan 250022,China;School of Mathematics and System Sciences, School of Science, Jinan University, Jinan 250022,China School of Mathematics Science, Liaocheng University, Liaocheng 252059,China School of Mathematics and System Sciences, Shandong University, Jinan 250100,China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 2268-2273

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）