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
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;
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
DOI :
10.1109/ISDEA.2012.291