DocumentCode
3273932
Title
Rough Communication Based on the General Relationship and Fuzzy Relationship
Author
Deng Tingquan ; Ma Minghua ; Xie Wei
Author_Institution
Inst. of Sci., Harbin Eng. Univ., Harbin, China
fYear
2013
fDate
16-18 Jan. 2013
Firstpage
1233
Lastpage
1237
Abstract
The communication between the information systems is a basic problem in granular computing. In this paper, the equivalence relation in the information system is extended to the general binary relation. Lower approximation rough communication models based on general binary relations are proposed. The fundamental properties of the new models are investigated. Furthermore, the six composition operators of lower and upper approximation operators form three pairs of dual operators. Based on the three pairs of dual operators, new models of rough communication are constructed. Finally, fuzzy rough communication is proposed. Gain degree and loss degree are proposed to judge the fuzzy rough communication.
Keywords
fuzzy set theory; granular computing; rough set theory; dual operator; equivalence relation; fuzzy relationship; fuzzy rough communication; general binary relation; general relationship; granular computing; information system; Intelligent systems; fuzzy rough communication; general binary relation; rough communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-4893-5
Type
conf
DOI
10.1109/ISDEA.2012.291
Filename
6455619
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