An uncertainty interchange format with imprecise probabilities
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[1] L. M. D. Campos,et al. MEASUREMENT OF POSSIBILITY DISTRIBUTIONS , 2001 .
[2] Jean-Yves Jaffray. On the Maximum-Entropy Probability which is Consistent with a Convex Capacity , 1995, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[3] Chengqi Zhang. Heterogeneous Transformation of Uncertainties of Propositions Among Inexact Reasoning Models , 1994, IEEE Trans. Knowl. Data Eng..
[4] Pattie Maes,et al. Agent-mediated Electronic Commerce : A Survey , 1998 .
[5] Serafín Moral,et al. A non-specificity measure for convex sets of probability distributions , 2000 .
[6] M. Daniel. Consistency of Probabilistic Transformations of Belief Functions , 2006 .
[7] Sergei Nirenburg,et al. Generation , 2004, Machine Translation.
[8] Henry E. Kyburg,et al. Conditions for the Existence of Belief Functions Corresponding to Intervals of Belief , 1991, AAAI.
[9] G. Cooman. POSSIBILITY THEORY I: THE MEASURE- AND INTEGRAL-THEORETIC GROUNDWORK , 1997 .
[10] Luis M. de Campos,et al. Partially Specified Belief Functions , 1993, UAI.
[11] Pietro Baroni,et al. On the Conceptual Status of Belief Functions with Respect to Coherent Lower Probabilities , 2001, ECSQARU.
[12] G. Rota. On the foundations of combinatorial theory I. Theory of Möbius Functions , 1964 .
[13] Cliff A. Joslyn,et al. Possibilistic Normalization of Inconsistent Random Intervals , 1997 .
[14] D. Dubois,et al. Fundamentals of fuzzy sets , 2000 .
[15] Jason Jen-Yen Chen,et al. AgentGateway: A communication tool for multi-agent systems , 2003, Inf. Sci..
[16] Thierry Dennux. Reasoning with Imprecise Belief Structures 1 , 1997 .
[17] Andrew P. Sage,et al. Uncertainty in Artificial Intelligence , 1987, IEEE Transactions on Systems, Man, and Cybernetics.
[18] S. Moral,et al. COMPLETING A TOTAL UNCERTAINTY MEASURE IN THE DEMPSTER-SHAFER THEORY , 1999 .
[19] Ronald R. Yager,et al. On the entropy of fuzzy measures , 2000, IEEE Trans. Fuzzy Syst..
[20] Timothy W. Finin,et al. KQML as an agent communication language , 1994, CIKM '94.
[21] Prakash P. Shenoy,et al. A Comparison of Methods for Transforming Belief Function Models to Probability Models , 2003, ECSQARU.
[22] Hung T. Nguyen,et al. Possibility Theory, Probability and Fuzzy Sets Misunderstandings, Bridges and Gaps , 2000 .
[23] Philippe Smets,et al. Constructing the Pignistic Probability Function in a Context of Uncertainty , 1989, UAI.
[24] Jim W. Hall,et al. Generation, combination and extension of random set approximations to coherent lower and upper probabilities , 2004, Reliab. Eng. Syst. Saf..
[25] Nicholas R. Jennings,et al. A Roadmap of Agent Research and Development , 2004, Autonomous Agents and Multi-Agent Systems.
[26] P. Walley. Statistical Reasoning with Imprecise Probabilities , 1990 .
[27] Michael R. Genesereth,et al. Knowledge Interchange Format , 1991, KR.
[28] George J. Klir,et al. Uncertainty-Based Information , 1999 .
[29] M. Roubens,et al. Fuzzy logic : state of the art , 1993 .
[30] Ivan Kramosil,et al. Partial Lattice-Valued Possibilistic Measures and Some Relations Induced by Them , 2003, ECSQARU.
[31] Chengqi Zhang,et al. Information sharing between heterogeneous uncertain reasoning models in a multi-agent environment: a case study , 2001, Int. J. Approx. Reason..
[32] Chengqi Zhang. Cooperation Under Uncertainty in Distributed Expert Systems , 1992, Artif. Intell..
[33] Philippe Smets,et al. Belief Functions versus Probability Functions , 1988, IPMU.
[34] Peter Walley,et al. Towards a unified theory of imprecise probability , 2000, Int. J. Approx. Reason..
[35] P. Walley. Measures of Uncertainty in Expert Systems , 1996, Artificial Intelligence.
[36] George J. Klir. Uncertainty and Information Measures for Imprecise Probabilities: An Overview , 1999, ISIPTA.
[37] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[38] Jean-Luc Marichal,et al. Entropy of discrete Choquet capacities , 2002, Eur. J. Oper. Res..
[39] Michael R. Genesereth,et al. Software agents , 1994, CACM.
[40] Thierry Denux. Reasoning with imprecise belief structures , 1999 .
[41] Didier Dubois,et al. Consonant approximations of belief functions , 1990, Int. J. Approx. Reason..
[42] Michel Grabisch. Upper Approximation of Non-additive Measures by k-additive Measures --- The Case of Belief Functions , 1999, ISIPTA.
[43] Pietro Baroni,et al. Transformations from Imprecise to Precise Probabilities , 2003, ECSQARU.
[44] George J. Klir,et al. Minimal information loss possibilistic approximations of random sets , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.
[45] B. M. Hill,et al. Theory of Probability , 1990 .
[46] Philippe Smets. Non-standard logics for automated reasoning , 1988 .
[47] Frans Voorbraak,et al. A Computationally Efficient Approximation of Dempster-Shafer Theory , 1988, Int. J. Man Mach. Stud..
[48] D. Dubois,et al. On Possibility/Probability Transformations , 1993 .
[49] Pietro Baroni,et al. An uncertainty interchange format for multi-agent systems based on imprecise probabilities , 2002 .
[50] Philippe Smets,et al. Decision making in the TBM: the necessity of the pignistic transformation , 2005, Int. J. Approx. Reason..
[51] Enric Hernández,et al. On Possibilistic and Probabilistic Approximations of Unrestricted Belief Functions Based on the Concept of Fuzzy T-Preorder , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[52] K. Schittkowski,et al. NONLINEAR PROGRAMMING , 2022 .
[53] D. Denneberg. Non-additive measure and integral , 1994 .
[54] G. Klir,et al. Uncertainty-based information: Elements of generalized information theory (studies in fuzziness and soft computing). , 1998 .