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Fuzzy Information and Engineering pp 75–82Cite as

Using Assignment Matrix on Incomplete Information Systems Reduction of Attributes

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Part of the book series: Advances in Soft Computing ((AINSC,volume 40))

Abstract

This paper presents an assignment matrix based heuristic attribute reduction method, states the significance of attributes in the incomplete decision table by introducing assignment matrices and their distances from one another, which is then used as heuristic information for selecting attributes. This algorithm has a polynomial time complexity. Seeking the minimal relative reduction in a decision table is typically a NP-hard problem, and its complexity can be reduced by using the algorithm provided in this paper. An example shows this algorithm can achieve the minimal relative reduction of incomplete decision table.

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References

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Author information

Authors and Affiliations

  1. Shenyang Artillery Academy, Shenyang, 110162, China

    Songyun Guo

  2. College of Sciences, Civil Aviation University of China, Tianjin, 300300, China

    Zhi Tao

Authors
  1. Songyun Guo
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  2. Zhi Tao
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Editor information

Bing-Yuan Cao

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© 2007 Springer-Verlag Berlin Heidelberg

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Guo, S., Tao, Z. (2007). Using Assignment Matrix on Incomplete Information Systems Reduction of Attributes. In: Cao, BY. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71441-5_9

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  • DOI: https://doi.org/10.1007/978-3-540-71441-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71440-8

  • Online ISBN: 978-3-540-71441-5

  • eBook Packages: EngineeringEngineering (R0)

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