期刊文献+

Information rough communication based on both-branch fuzzy set

Information rough communication based on both-branch fuzzy set
在线阅读 下载PDF
导出
摘要 The concept of rough communication based on both-branch fuzzy set is proposed, in which the loss of information may exist, for each agent there has a different language and can not provide precise communication to each other. The method of information measure in a rough communication based on both-branch fuzzy set is proposed. By using some concepts, such as |α|-both-branch rough communication cut, the relation theorem between rough communication based on both-branch fuzzy concept and rough communication based on classical concept is obtained. Finally, an example of rough communication based on both-branch fuzzy set is given. The concept of rough communication based on both-branch fuzzy set is proposed, in which the loss of information may exist, for each agent there has a different language and can not provide precise communication to each other. The method of information measure in a rough communication based on both-branch fuzzy set is proposed. By using some concepts, such as |α|-both-branch rough communication cut, the relation theorem between rough communication based on both-branch fuzzy concept and rough communication based on classical concept is obtained. Finally, an example of rough communication based on both-branch fuzzy set is given.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2011年第2期257-262,共6页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China (61070241) the Natural Science Foundation of Shandong Province (ZR2010 FM035) the Science Research Foundation of University of Jinan (XKYK31)
关键词 rough sets both-branch fuzzy set rough communication information measure. rough sets, both-branch fuzzy set, rough communication, information measure.
作者简介 Corresponding author.Hongkai Wang was born in 1978. In 2006, he received his Ph.D. degree in system theory from Shandong University, Jinan, China. Now he is an associate professor in University of Jinan. His research interests include rough sets theory and fuzzy sets theory. E-mail: ss_wanghk@ujn.edu.cnYanyong Guan was born in 1964. In 2006, he received his Ph.D. degree in system theory from Shan- dong University, Jinan, China. Now he is a professor in University of Jinan. His research interests include rough sets theory and fuzzy sets theory. E-mail: ss_guanyy@ujn.edu.cnLei Du was born in 1983. Now she is a postgraduate in University of Jinan. Her current research interests include rough sets theory. E-mail: aimohan@ 163.com
  • 相关文献

参考文献8

二级参考文献44

共引文献43

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部