Alternative representations of epistemic uncertainty
暂无分享,去创建一个
[1] David Lindley,et al. The Probability Approach to the Treatment of Uncertainty in Artificial Intelligence and Expert Systems , 1987 .
[2] Robert L. Winkler,et al. Uncertainty in probabilistic risk assessment , 1996 .
[3] D. Dubois,et al. Fuzzy sets, probability and measurement , 1989 .
[4] M. Mckay,et al. Critique of and Limitations on the Use of Expert Judgements in Accident Consequence Uncertainty Analysis , 2000 .
[5] F. J. Davis,et al. Illustration of Sampling‐Based Methods for Uncertainty and Sensitivity Analysis , 2002, Risk analysis : an official publication of the Society for Risk Analysis.
[6] D. Dubois,et al. Fundamentals of fuzzy sets , 2000 .
[7] Jane M. Booker,et al. Fuzzy Logic and Probability Applications , 2002, Fuzzy Logic and Probability Applications.
[8] Ramon E. Moore. Methods and applications of interval analysis , 1979, SIAM studies in applied mathematics.
[9] Peter C. Cheeseman,et al. An inquiry into computer understanding , 1988, Comput. Intell..
[10] Didier Dubois,et al. Fuzzy sets and systems ' . Theory and applications , 2007 .
[11] G. Cooman. POSSIBILITY THEORY I: THE MEASURE- AND INTEGRAL-THEORETIC GROUNDWORK , 1997 .
[12] Hung T. Nguyen,et al. Possibility Theory, Probability and Fuzzy Sets Misunderstandings, Bridges and Gaps , 2000 .
[13] M. Elisabeth Paté-Cornell,et al. Uncertainties in risk analysis: Six levels of treatment , 1996 .
[14] G. Parry. On the meaning of probability in probabilistic safety assessment , 1988 .
[15] G. Apostolakis. The concept of probability in safety assessments of technological systems. , 1990, Science.
[16] G. W. Parry,et al. Characterization and evaluation of uncertainty in probabilistic risk analysis , 1981 .
[17] Ian Hacking,et al. The Emergence of Probability. A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference , 1979 .
[18] George J. Klir,et al. FOUNDATIONS OF FUZZY SET THEORY AND FUZZY LOGIC: A HISTORICAL OVERVIEW , 2001 .
[19] George J. Klir. 8 MEASURES OF UNCERTAINTY AND INFORMATION , .
[20] D. Hamby. A review of techniques for parameter sensitivity analysis of environmental models , 1994, Environmental monitoring and assessment.
[21] S. R. Jammalamadaka,et al. Against the Gods: The Remarkable Story of Risk , 1999 .
[22] L. Wasserman. Belief functions and statistical inference , 1990 .
[23] G. Klir. Measure of Uncertainty and Information , 2006 .
[24] Philippe Smets,et al. Probability, Possibility, Belief: Which and Where? , 1998 .
[25] Jon C. Helton,et al. Calculation of reactor accident safety goals , 1993 .
[26] George J. Klir,et al. On the alleged superiority of probabilistic representation of uncertainty , 1994, IEEE Trans. Fuzzy Syst..
[27] M. Granger Morgan,et al. Graphical Communication of Uncertain Quantities to Nontechnical People , 1987 .
[28] George J. Klir,et al. Fuzzy sets and fuzzy logic - theory and applications , 1995 .
[29] R. Keeney,et al. Improving risk communication. , 1986, Risk analysis : an official publication of the Society for Risk Analysis.
[30] G. Shafer. Non-additive probabilities in the work of Bernoulli and Lambert , 1978, Classic Works of the Dempster-Shafer Theory of Belief Functions.
[31] Kari Sentz,et al. Combination of Evidence in Dempster-Shafer Theory , 2002 .
[32] D. Bell,et al. Evidence Theory and Its Applications , 1991 .
[33] L. Zadeh. Fuzzy sets as a basis for a theory of possibility , 1999 .
[34] C. Allin Cornell,et al. Use of Technical Expert Panels: Applications to Probabilistic Seismic Hazard Analysis * , 1998 .
[35] Luc Jaulin,et al. Applied Interval Analysis , 2001, Springer London.
[36] R. B. Kearfott,et al. Applications of interval computations , 1996 .
[37] M. B. Beck,et al. Water quality modeling: A review of the analysis of uncertainty , 1987 .
[38] A. Neumaier. Interval methods for systems of equations , 1990 .
[39] G. Klir. IS THERE MORE TO UNCERTAINTY THAN SOME PROBABILITY THEORISTS MIGHT HAVE US BELIEVE , 1989 .
[40] J. C. Helton,et al. Statistical Analyses of Scatterplots to Identify Important Factors in Large-Scale Simulations, 1: Review and Comparison of Techniques , 1999 .
[41] S. Ferson,et al. Different methods are needed to propagate ignorance and variability , 1996 .
[42] J C Helton,et al. Performance Assessment in Support of the 1996 Compliance Certification Application for the Waste Isolation Pilot Plant , 1999, Risk analysis : an official publication of the Society for Risk Analysis.
[43] Jon C. Helton,et al. Uncertainty and sensitivity analysis of chronic exposure results with the MACCS reactor accident consequence model , 1995 .
[44] Nathan Siu,et al. Bayesian parameter estimation in probabilistic risk assessment , 1998 .
[45] Lucien Duckstein,et al. Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological and Engineering Systems , 1995 .
[46] R. Cooke. Experts in Uncertainty: Opinion and Subjective Probability in Science , 1991 .
[47] H Otway,et al. Expert judgment in risk analysis and management: process, context, and pitfalls. , 1992, Risk analysis : an official publication of the Society for Risk Analysis.
[48] H Christopher Frey,et al. OF SENSITIVITY ANALYSIS , 2001 .
[49] Ronald Fagin,et al. Two Views of Belief: Belief as Generalized Probability and Belief as Evidence , 1992, Artif. Intell..
[50] Jon C. Helton,et al. Guest editorial: treatment of aleatory and epistemic uncertainty in performance assessments for complex systems , 1996 .
[51] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[52] Jon C. Helton,et al. Challenge Problems : Uncertainty in System Response Given Uncertain Parameters ( DRAFT : November 29 , 2001 ) , 2001 .
[53] J. Flamm,et al. Reliability data collection and analysis , 1992 .
[54] Hung T. Nguyen,et al. A First Course in Fuzzy Logic , 1996 .
[55] L. Goossens,et al. Expert judgement for a probabilistic accident consequence uncertainty analysis , 2000 .
[56] B. Kosko. Fuzziness vs. probability , 1990 .
[57] J. C. Helton,et al. Uncertainty and sensitivity analysis in the presence of stochastic and subjective uncertainty , 1997 .
[58] Kathleen V. Diegert,et al. Error and uncertainty in modeling and simulation , 2002, Reliab. Eng. Syst. Saf..
[59] M. E Paté-Cornell,et al. Probability and uncertainty in nuclear safety decisions , 1986 .
[60] M. Thorne,et al. A review of expert judgment techniques with reference to nuclear safety , 1992 .
[61] David Lindley. Scoring rules and the inevitability of probability , 1982 .
[62] William Feller,et al. An Introduction to Probability Theory and Its Applications , 1967 .
[63] Dov M. Gabbay,et al. Handbook of defeasible reasoning and uncertainty management systems: volume 2: reasoning with actual and potential contradictions , 1998 .
[64] J S Evans,et al. Use of probabilistic expert judgment in uncertainty analysis of carcinogenic potency. , 1994, Regulatory toxicology and pharmacology : RTP.
[65] Ronald L. Iman,et al. Expert opinion in risk analysis: the NUREG-1150 methodology , 1989 .
[66] C. Howson,et al. Scientific Reasoning: The Bayesian Approach , 1989 .
[67] S. Kaplan,et al. On The Quantitative Definition of Risk , 1981 .
[68] T. Ross. Fuzzy Logic with Engineering Applications , 1994 .
[69] J. Kacprzyk,et al. Advances in the Dempster-Shafer theory of evidence , 1994 .
[70] George Apostolakis. Uncertainty in probabilistic safety assessment , 1989 .
[71] Hadi Dowlatabadi,et al. Sensitivity and Uncertainty Analysis of Complex Models of Disease Transmission: an HIV Model, as an Example , 1994 .
[72] Jane M. Booker,et al. Eliciting and analyzing expert judgement - a practical guide , 2001, ASA-SIAM series on statistics and applied probability.
[73] S. R. Watson,et al. The meaning of probability in probabilistic safety analysis , 1994 .
[74] D. Dubois,et al. On the Combination of Evidence in Various Mathematical Frameworks , 1992 .
[75] Helge Hove Haldorsen,et al. Putting error bars on reservoir engineering forecasts , 1992 .
[76] L H Goossens,et al. Joint EC/USNRC expert judgement driven radiological protection uncertainty analysis. , 1998, Journal of radiological protection : official journal of the Society for Radiological Protection.
[77] Scott Ferson,et al. Constructing Probability Boxes and Dempster-Shafer Structures , 2003 .
[78] Didier Dubois,et al. Possibility Theory - An Approach to Computerized Processing of Uncertainty , 1988 .
[79] Jon C. Helton,et al. Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal , 1993 .
[80] W. Woodall,et al. A probabilistic and statistical view of fuzzy methods , 1995 .
[81] F. O. Hoffman,et al. Propagation of uncertainty in risk assessments: the need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability. , 1994, Risk analysis : an official publication of the Society for Risk Analysis.
[82] M. C. Thorne,et al. The use of expert opinion in formulating conceptual models of underground disposal systems and the treatment of associated bias , 1993 .
[83] Jon C. Helton,et al. Treatment of Uncertainty in Performance Assessments for Complex Systems , 1994 .
[84] George Apostolakis,et al. A taxonomy of issues related to the use of expert judgments in probabilistic safety studies , 1992 .
[85] Bilal M. Ayyub,et al. Elicitation of expert opinions for uncertainty and risks: Answer to the Book Review by Roger M. Cooke , 2003, Fuzzy Sets Syst..
[86] G. Apostolakis,et al. Uncertainties in system analysis: Probabilistic versus nonprobabilistic theories , 1990 .
[87] N. R. Ortiz,et al. Risk methodology for geologic disposal of radioactive waste: Final report , 1987 .
[88] Jon C. Helton,et al. Summary description of the methods used in the probabilistic risk assessments for NUREG-1150 , 1992 .
[89] Frank Klawonn,et al. Foundations of fuzzy systems , 1994 .