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Using Rough Set to Induce Comparative Knowledge and Its Use in SARS Data

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

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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.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Feng, H., Yin, C., Liao, M., Yang, B., Chen, Y. (2005). Using Rough Set to Induce Comparative Knowledge and Its Use in SARS Data. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_13

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  • DOI: https://doi.org/10.1007/11554028_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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