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Clustering approximation of belief functions

A method for computing inner and outer approximations of a crisp or fuzzy belief function, based on hierarchical clustering of focal elements. The method is described in:

T. Denoeux. Inner and outer clustering approximations of belief structures. In Proceedings of IPMU'2000, Vol. I, pages 125-132, Madrid, July 2000. postcript

T. Denoeux. Inner and outer approximation of belief structures using a hierarchical clustering approach. Int. Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 9, No. 4, 437-460, 2001. postcript


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