3.8 Proceedings Paper

Probabilistic Rough Set Model Based on Dominance Relation

期刊

ROUGH SETS AND KNOWLEDGE TECHNOLOGY, RSKT 2014
卷 8818, 期 -, 页码 856-863

出版社

SPRINGER INT PUBLISHING AG
DOI: 10.1007/978-3-319-11740-9_78

关键词

Dominance relation; Probabilistic rough set; Partition function; Probability space

资金

  1. Natural Science Foundation of China [61105041]
  2. National Natural Science Foundation of CQ CSTC [cstc 2013jcyjA40051]
  3. Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information (Nanjing University of Science and Technology)
  4. Ministry of Education [30920140122006]

向作者/读者索取更多资源

Unlike Pawlak rough set, probabilistic rough set models allow a tolerance inaccuracy in lower and upper approximations. Dominance relation cannot establish probability measure space for the universe. In this paper, the basic set assignment function, namely partition function is introduced into our work, which can transform the non-probability measure generated by dominance relation into a probability measure space. The probabilistic rough set model is established based on dominance relation, and explained clearly through an example.

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