Abstract
Based on the dynamic tendency of vague sets and the three-dimension of element membership to a vague set, a method of comparing the two vague sets by means of set pair analysis (SPA) is put forward. First, according to the positive, negative and uncertain membership of vague sets, the IDC(Identical Discrepancy Contrary) and weight IDC membership of vague set are defined; then, the IDC and weight IDC membership distance between vague sets are defined; last, the IDC membership distances between vague sets are applied to pattern recognition, which testifies the validity and simplicity of this method.
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© 2009 Springer-Verlag Berlin Heidelberg
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Zhang, Cy., Liu, Fc., Zhou, Ry. (2009). The IDC Membership Distance between Vague Sets and Its Application. 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_79
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DOI: https://doi.org/10.1007/978-3-540-88914-4_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88913-7
Online ISBN: 978-3-540-88914-4
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