DocumentCode :
441599
Title :
Reasoning Based on Rough Set Among Multi-Agents Under the Environment of ABDIDSS
Author :
Hu, Xiao-Jian ; Yang, Shan-Lin ; Ma, Xi-Jun ; Zheng, Xiang-Feng
Author_Institution :
Institute of materials, Hefei University of Technology, Hefei 230009, China; E-MAIL: Xiaojianhu@sohu.com
Volume :
1
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
237
Lastpage :
242
Abstract :
Models of agent and ABDIDSS (ABDIDSS--distributed intelligence decision support system based on multi-agents) are defined in this paper. Approximation spaces of the agent reasoning in ABDIDSS are built up. Rough set on approximation spaces is defined. Reasoning in ABDIDSS may be realized through the means of establishing decision trees. Multi – agents comprehending to definable sets, synthesis operation of sets and solution of lower and upper approximations of sets on approximation space are included on decision trees. Therefore methods of multi-agents comprehending to definable sets, synthesis operation of sets and solution of lower and upper approximations of sets on approximation space are defined under the environment of ABDIDSS. They have important theoretical meaning on approximation reasoning based on Rough set. It is shown with real example that it is feasible to realize problem to be solved cooperatively among multi-agents in the last.
Keywords :
Agent; Rough set; approximate reasoning; approximation space; Computer networks; Decision support systems; Decision trees; Electronic mail; Fuzzy set theory; Intelligent agent; Intelligent networks; Intelligent systems; Space technology; Uncertainty; Agent; Rough set; approximate reasoning; approximation space;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1526951
Filename :
1526951
Link To Document :
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