Abstract
A non-probabilistic-type entropy measure for interval-valued fuzzy set (IVFS) is proposed. It is a result of a geometric interpretation of IVFS and uses a ratio of distances between them. It is also shown that the proposed measure can be defined in terms of the ratio of interval-valued fuzzy cardinalities: of F ∩ F c and F ∪ F c.
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© 2009 Springer-Verlag Berlin Heidelberg
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Ju, Hm. (2009). Entropy for Interval-Valued Fuzzy Sets. In: Cao, By., Zhang, Cy., Li, Tf. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88914-4_45
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DOI: https://doi.org/10.1007/978-3-540-88914-4_45
Publisher Name: Springer, Berlin, Heidelberg
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