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粗糙集与其他软计算理论结合情况研究综述


  摘 要:最近几年,对于粗糙集的研究越来越多,尤其是粗糙集与其他软计算理论相结合的研究更为突出,取得了很多有意义的研究成果。鉴于此,将此方面目前的主要研究状况进行了总结,主要介绍了目前粗糙集与模糊集、神经网络、证据理论等一些其他软计算理论之间的结合研究情况,并对这方面未来的发展提出了自己的观点。

  关键词:粗糙集; 软计算; 模糊集; 粗糙模糊集; 模糊粗糙集

  中图分类号:TP18文献标志码:A

  文章编号:1001-3695(2010)07-2404-07

  doi:10.3969/j.issn.1001-3695.2010.07.002

  Survey on combination of rough sets and other soft computing theories

  TANG Jian-guo1,2, William ZHU1,SHE Kun1, CHEN Wen1,3

  (1.School of Computer Science & Engineering, University of Electronic Science & Technology of China, Chengdu 611731, China;2.School of Computer Science & Engineering, Xinjiang University of Finance & Economics, Urumqi 830012, China;3.Dept. of Computer Science, Fuzhou Polytechnic, Fuzhou 350108, China)Abstract:In recent years, there are more and more research on rough sets.Especially,the combinations of rough sets and other soft computing theories have became more prominent,and have made a lot of meaningful research results. In view of this, this paper gave a summary of the current status of these major researchs.It focused on the combination of rough sets and other soft computing theories such as fuzzy sets,neural net,evidence theory,and so on. In the end, it put forward the own viewpoint of the future development in this area.

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