Granular Computing Reduction Method for SDG Model

摘要：

Granular computing, provides a new solution for qualitative SDG fault diagnosis not only in philosophy but also in technique. In this paper, granular matrix-based knowledge reduction algorithm is applied to simplify SDG model which transform the attribute reduction into simple binary matrix operation. The research fruits show the effective integration of SDG model and granular computing.

关键词： granular computing granular matrix SDG (signed directed graph) attribute reduction

作者: Xie Gang Wang Wen Chen Zehua

作者单位: Department of Information Engineering Taiyuan University of Technology Taiyuan, PRC (030024)

会议类型: 国际会议

会议名称: International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)

会议地点: 太原

会议语种:英文

页码: 204-207

在线出版日期: 2010-09-26（万方平台首次上网日期，不代表论文的发表时间）