Using rough set to induce comparative knowledge and its use in SARS data

  • Authors:

  • Honghai Feng;Cheng Yin;Mingyi Liao;Bingru Yang;Yumei Chen

  • Affiliations:

  • ,Urban & Rural Construction School, Hebei Agricultural University, Baoding, China;Modern Educational Center, Hebei Agricultural University, Baoding, China;Department of Economic & Information, Dongbei University of Finance & Economics, Dalian, China;Information Engineering School, University of Science and Technology Beijing, Beijing, China;Tian'e Chemical Fiber Company of Hebei Baoding, Baoding, China

  • Venue:
  • KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
  • Year:
  • 2005

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Abstract

Comparative knowledge is the main and important knowledge in our knowledge-box with which we differentiate things or get the difference between things. Using rough set we can induce not only the classification rules but also the comparative knowledge. For example, in comparison with men who do not smoke, the women who too do not smoke are more susceptible to suffer from lung cancer. From our SARS data set, using rough set theory we have induced the comparative knowledge such as: when the attribute hemoglobin's values of the patients are the same, and if the patients' states of illness are 3 (3 means that the state of illness is critical), then the attribute lymph's values are mostly smaller than the ones of the patients whose states of illness are 2(2 means that the state of illness is serious) and so on.