Fuzzy Rough Communication and Optimization Problem of its Translation Sequence

Author

Wang, Hong-kai ; Guan, Yan-yong ; Yao, Bing-xue ; Shi, Kai-quan

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

2268

Lastpage

2273

Abstract

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 alpha-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

Keywords

fuzzy set theory; multi-agent systems; optimisation; rough set theory; agent communication language; fuzzy concept rough communication cut problem; global optimal translation sequence; mathematical model; optimization problem; quantization analysis; Cybernetics; Fuzzy systems; Information analysis; Machine learning; Mathematical model; Mathematics; Pattern analysis; Pattern recognition; Quantization; Rough sets; Uncertainty; Fuzzy concept; example; global optimal translation sequence; information measure; relation theorem; rough communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258671

Filename

4028442