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Link to original content: https://doi.org/10.1007/978-3-642-21881-1_34
An Interval-Valued Fuzzy Soft Set Approach for Normal Parameter Reduction | SpringerLink
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An Interval-Valued Fuzzy Soft Set Approach for Normal Parameter Reduction

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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6743))

Abstract

Soft set theory in combination with the interval-valued fuzzy set has been proposed as the concept of the interval-valued fuzzy soft set. However, up to the present, few documents have focused on parameter reduction of the interval-valued fuzzy soft sets. In this paper, we propose a definition of normal parameter reduction of interval-valued fuzzy soft sets, which considers the problems of sub-optimal choice and added parameters. Then, a heuristic algorithm of normal parameter reduction for interval-valued fuzzy soft sets is presented. Finally, an illustrative example is employed to show our contribution.

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© 2011 Springer-Verlag Berlin Heidelberg

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Ma, X., Sulaiman, N. (2011). An Interval-Valued Fuzzy Soft Set Approach for Normal Parameter Reduction. In: Kuznetsov, S.O., Ślęzak, D., Hepting, D.H., Mirkin, B.G. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2011. Lecture Notes in Computer Science(), vol 6743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21881-1_34

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  • DOI: https://doi.org/10.1007/978-3-642-21881-1_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21880-4

  • Online ISBN: 978-3-642-21881-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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