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Part of the book series: Advances in Soft Computing ((AINSC,volume 28))

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Summary

In 1991 there were defined basic functions of the evidence theory based on the concepts of the rough set theory. In this paper we use these functions in specifying minimal templates of decision tables. The problem of finding such templates is NP-hard. Hence, we propose some heuristics based on genetic algorithms.

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References

  1. Friedman, J.H. and Hastie, T., and Tibshirani, R.: The elements of statistical learning: Data mining, inference, and prediction. Springer, Heidelberg 2001.

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  4. Skowron, A. and Grzymala-Busse, J.: From the Rough Set Theory to the Evidence Theory. In R.R. Yager, M. Fedrizzi, J. Kacprzyk (eds.), Advances in the Dempster-Shafer Theory of Evidence. New York: Wiley (1994) 193–236.

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© 2005 Springer-Verlag Berlin Heidelberg

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MarszaƂ-Paszek, B., Paszek, P. (2005). Extracting Minimal Templates in a Decision Table. In: Monitoring, Security, and Rescue Techniques in Multiagent Systems. Advances in Soft Computing, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32370-8_27

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  • DOI: https://doi.org/10.1007/3-540-32370-8_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23245-2

  • Online ISBN: 978-3-540-32370-9

  • eBook Packages: EngineeringEngineering (R0)

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