A Swarm-based Rough Set Approach for Group Decision Support Systems
This paper present a class of investment problem, in which many items could be chosen in a group decision environment. Usually there is a decision table from the board of directors after discussions. Most of the data come from their experience or estimation. The information is redundant and inaccurate. Swarm-based rough set approach is introduced to make an attempt to solve the problem. Rough set theory provides a mathematical tool that can be used for both feature selection and information reduction. The swarmbased reduction approaches are attractive to find multiple reducts in the decision systems, which could be applied to generate multiple investment planning and to improve the decision. Empirical results illustrate that the approach can be applied for the class of investment problems effectively.
Mingyan Zhao Hongbo Liu Ajith Abraham Emilio Corchado
School of Software, Dalian University of Technology, 116620 Dalian, China School of Computer Science, Dalian Maritime University, 116024 Dalian, China Machine Intelligence Re Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excell
国际会议
2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)
沈阳
英文
1-5
2009-08-12（万方平台首次上网日期，不代表论文的发表时间）