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Part of the book series: Studies in Computational Intelligence ((SCI,volume 463))

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Abstract

In Yen (1990), Yen developed an approach that addressed the issue of managing imprecise and vague information in evidential reasoning by combining Dempster-Shafer theory with fuzzy set theory. Later we will apply Yen’s method to arrive at the degree of belief of certain subsets of a set {x 1, ..., x k }. We assume we have n subsets of X, A j , j = 1, ... , n, which are the focal elements of a function m of the power set of X into the closed interval [0, 1], i.e., m(A j ) > 0, j = 1, ... , n.

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Correspondence to John N. Mordeson .

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Mordeson, J.N., Wierman, M.J., Clark, T.D., Pham, A., Redmond, M.A. (2013). Yen’s Method. In: Linear Models in the Mathematics of Uncertainty. Studies in Computational Intelligence, vol 463. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35224-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-35224-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35223-2

  • Online ISBN: 978-3-642-35224-9

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