期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2012
卷号：2
期号：5
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Decision models which adopt rough set theory have been used effectively in many real world applications. However, rough decision models suffer the high computational complexity when dealing with datasets of huge size. In this research we propose a new rough decision model that allows making decisions based on modularity mechanism. According to the proposed approach, large-size datasets can be divided into arbitrary moderate-size datasets, then a group of rough decision models can be built as separate decision modules. The overall model decision is computed as the consensus decision of all decision modules through some aggregation technique. This approach provides a flexible and a quick way for extracting decision rules of large size information tables using rough decision models.
关键词：Rough sets; Fuzzy sets; modularity; Data mining.
