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A General Model for Transforming Vague Sets into Fuzzy Sets

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Rough Sets and Knowledge Technology (RSKT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4062))

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Abstract

The relationship of vague sets and fuzzy sets is analyzed and the problem of transforming vague sets into fuzzy sets is studied in this paper. It is found to be a many-to-one mapping relation to transform a vague set into a fuzzy set. A general model for transforming vague sets into fuzzy sets is proposed. The two transforming methods proposed by Fan Li in [1] are proved to be two special cases of this general transforming model.

This paper is partially supported by National Natural Science Foundation of P.R. China(No.60373111, No.60573068), New Century Excellent Talents in University, Natural Science Foundation of Chongqing(No.2005BA2003), and Science and Technology Research Program of Chongqing Education Commission(No. 040505).

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© 2006 Springer-Verlag Berlin Heidelberg

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Liu, Y., Wang, G., Feng, L. (2006). A General Model for Transforming Vague Sets into Fuzzy Sets. In: Wang, GY., Peters, J.F., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2006. Lecture Notes in Computer Science(), vol 4062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11795131_49

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  • DOI: https://doi.org/10.1007/11795131_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36297-5

  • Online ISBN: 978-3-540-36299-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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