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The Transferable Belief Model for Quantified Belief Representation
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Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 24 checked references that resolve
resolves10.1080/03081078608934937
A SET-THEORETIC VIEW OF BELIEF FUNCTIONS Logical operations and approximations by fuzzy sets†
resolves10.1007/3-540-18579-8_6
The principle of minimum specificity as a basis for evidential reasoning
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SPECIALIZATION—A NEW CONCEPT FOR UNCERTAINTY HANDLING WITH BELIEF FUNCTIONS
resolves10.1016/0888-613X(92)90035-X
Rejoinders to comments on “perspectives on the theory and practice of belief functions”
resolves10.1016/0951-8320(92)90105-T
The transferable belief model for expert judgements and reliability problems
resolves10.1016/0888-613X(93)90005-X
Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem
resolves10.1016/S0004-3702(96)00054-9
The normative representation of quantified beliefs by belief functions
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no DOI — not checkedH. Xu. An efficient tool for reasoning with belief functions. IPMU 92 Proceedings, pp. 65–68, 1992.
no DOI — not checkedH. Xu, Y.-T. Hsia and Ph. Smets. A belief function based decision support system. Uncertainty in AI 93, D. Heckerman and A. Mamdani, eds. pp. 535–542. Morgan Kaufmann, San Mateo, CA, 1993.
no DOI — not checkedH. Xu and Ph. Smets. Evidential reasoning with conditional belief functions. In Uncertainty in AI 94, D. Heckerman, D. Poole and R. Lopez de Mantaras, eds. Morgan Kaufmann, San Mateo, CA, 1994.
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