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Journal of Applied Mathematics
Volume 2014, Article ID 857186, 9 pages
Research Article

Multigranulations Rough Set Method of Attribute Reduction in Information Systems Based on Evidence Theory

Department of Mathematics and Applied Mathematics, Lianyungang Teachers College, Lianyungang 222006, China

Received 4 February 2014; Revised 16 June 2014; Accepted 17 June 2014; Published 1 July 2014

Academic Editor: Xiaojing Yang

Copyright © 2014 Minlun Yan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Kefei Zhang, Jiang Guo, Fang Yuan, Kefei Zhang, Jiang Guo, and Fang Yuan, “A Novel Transformer Fault Diagnosis Model Based on Integration of Fault Tree and Fuzzy Set,” 2015 11th International Conference on Semantics, Knowledge and Grids (SKG), pp. 112–118, . View at Publisher · View at Google Scholar
  • Qizhou Hu, Ningbo Gao, and Bing Zhang, “High Speed Railway Environment Safety Evaluation Based on Measurement Attribute Recognition Model,” Computational Intelligence and Neuroscience, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Jinjin Li, Guoping Lin, Anhui Tan, and Weizhi Wu, “Evidence-theory-based numerical characterization of multigranulation rough sets in incomplete information systems,” Fuzzy Sets and Systems, vol. 294, pp. 18–35, 2016. View at Publisher · View at Google Scholar
  • Anhui Tan, Wei-Zhi Wu, and Yuzhi Tao, “On the belief structures and reductions of multigranulation spaces with decisions,” International Journal of Approximate Reasoning, vol. 88, pp. 39–52, 2017. View at Publisher · View at Google Scholar