Parallel Combination of Information Sources
暂无分享,去创建一个
[1] R. Yager. Quasi-associative operations in the combination of evidence , 1987 .
[2] Wolfgang Spohn,et al. A general non-probabilistic theory of inductive reasoning , 2013, UAI.
[3] Henry Ely Kyburg,et al. The logical foundations of statistical inference , 1974 .
[4] Jürg Kohlas,et al. A Mathematical Theory of Hints , 1995 .
[5] Dimiter Driankov,et al. Uncertainty calculus with verbally defined belief‐intervals , 1986, Int. J. Intell. Syst..
[6] Henri Prade,et al. Representation and combination of uncertainty with belief functions and possibility measures , 1988, Comput. Intell..
[7] T. Fine. Theories of Probability: An Examination of Foundations , 1973 .
[8] A. Chateauneuf. Combination of compatible belief functions and relation of specificity , 1992 .
[9] Philippe Smets. Probability of Deductibility and Belief Functions , 1993, ECSQARU.
[10] J. Gebhardt,et al. A possibilistic interpretation of fuzzy sets by the context model , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.
[11] Mongi A. Abidi,et al. Data fusion in robotics and machine intelligence , 1992 .
[12] L. N. Kanal,et al. Uncertainty in Artificial Intelligence 5 , 1990 .
[13] Henry E. Kyburg,et al. Studies in Subjective Probability , 1965 .
[14] R. T. Cox. Probability, frequency and reasonable expectation , 1990 .
[15] Rudolf Kruse,et al. A New Approach to Semantic Aspects of Possibilistic Reasoning , 1993, ECSQARU.
[16] T. Modis,et al. Experts in uncertainty , 1993 .
[17] H. Kunzi,et al. Lectu re Notes in Economics and Mathematical Systems , 1975 .
[18] Rudolf Kruse,et al. Uncertainty and vagueness in knowledge based systems: numerical methods , 1991, Artificial intelligence.
[19] Philippe Smets,et al. The Transferable Belief Model , 1994, Artif. Intell..
[20] Glenn Shafer,et al. Readings in Uncertain Reasoning , 1990 .
[21] Henri Prade,et al. A Computational Approach to Approximate and Plausible Reasoning with Applications to Expert Systems , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Carl G. Wagner. Consensus for belief functions and related uncertainty measures , 1989 .
[23] A. Dempster. Upper and Lower Probabilities Generated by a Random Closed Interval , 1968 .
[24] V. Strassen,et al. Me\fehler und Information , 1964 .
[25] Didier Dubois,et al. A semantics for possibility theory based on likelihoods , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..
[26] Hung T. Nguyen,et al. Uncertainty Models for Knowledge-Based Systems; A Unified Approach to the Measurement of Uncertainty , 1985 .
[27] James C. Bezdek,et al. Analysis of fuzzy information , 1987 .
[28] Paul R. Cohen,et al. Heuristic reasoning about uncertainty: an artificial intelligence approach , 1984 .
[29] Roger Cooke,et al. Calibration and information in expert resolution; a classical approach , 1988, Autom..
[30] Ren C. Luo,et al. Multisensor integration and fusion for intelligent machines and systems , 1995 .
[31] Ronald R. Yager. ON THE RELATIONSHIP OF METHODS OF AGGREGATING EVIDENCE IN EXPERT SYSTEMS , 1985 .
[32] Wolfgang Spohn,et al. Ordinal Conditional Functions: A Dynamic Theory of Epistemic States , 1988 .
[33] Ronald R. Yager. Prioritized, Non-Pointwise, Nonmonotonic Intersection and Union for Commonsense Reasoning , 1988, IPMU.
[34] Petr Hájek,et al. Combining Functions for Certainty Degrees in Consulting Systems , 1985, Int. J. Man Mach. Stud..
[35] Glenn Shafer,et al. The combination of evidence , 1986, Int. J. Intell. Syst..
[36] Hung T. Nguyen,et al. On Random Sets and Belief Functions , 1978, Classic Works of the Dempster-Shafer Theory of Belief Functions.
[37] J. Kohlas,et al. A Mathematical Theory of Hints: An Approach to the Dempster-Shafer Theory of Evidence , 1995 .
[38] Rudolf Kruse,et al. The context model: An integrating view of vagueness and uncertainty , 1993, Int. J. Approx. Reason..
[39] Didier Dubois,et al. Weighted minimum and maximum operations in fuzzy set theory , 1986, Inf. Sci..
[40] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[41] Didier Dubois,et al. On the unicity of dempster rule of combination , 1986, Int. J. Intell. Syst..
[42] P. Fishburn. The Axioms of Subjective Probability , 1986 .
[43] S. Pfleger,et al. Data Fusion Applications , 1993, Research Reports ESPRIT.
[44] Rudolf Kruse,et al. Uncertainty and Vagueness in Knowledge Based Systems , 1991, Artificial Intelligence.
[45] Ronald Prescott Loui. Computing reference classes , 1986, UAI.
[46] Didier Dubois,et al. Aggregation of Possibility Measures , 1990 .
[47] R. R. Yager,et al. Uncertainty and Intelligent Systems , 1988, Lecture Notes in Computer Science.
[48] Frank Klawonn,et al. On the axiomatic justification of Dempster's rule of combination , 1992, Int. J. Intell. Syst..
[49] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[50] D. Dubois,et al. Possibility theory and data fusion in poorly informed environments , 1994 .
[51] Didier Dubois,et al. A review of fuzzy set aggregation connectives , 1985, Inf. Sci..
[52] Ronald R. Yager,et al. Approximate reasoning as a basis for rule-based expert systems , 1984, IEEE Transactions on Systems, Man, and Cybernetics.
[53] W. Silvert. Symmetric Summation: A Class of Operations on Fuzzy Sets , 1979 .
[54] Henry E. Kyburg,et al. Bayesian and Non-Bayesian Evidential Updating , 1987, Artificial Intelligence.
[55] B. D. Finetti,et al. Foresight: Its Logical Laws, Its Subjective Sources , 1992 .
[56] S. Weber. A general concept of fuzzy connectives, negations and implications based on t-norms and t-conorms , 1983 .
[57] Philippe Smets,et al. The Combination of Evidence in the Transferable Belief Model , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[58] Frank Klawonn,et al. Foundations of fuzzy systems , 1994 .
[59] L. Zadeh. Fuzzy sets as a basis for a theory of possibility , 1999 .
[60] Philippe Smets,et al. Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem , 1993, Int. J. Approx. Reason..
[61] D. Dubois,et al. Belief Revision: Belief change and possibility theory , 1992 .
[62] T. Fine,et al. Towards a Frequentist Theory of Upper and Lower Probability , 1982 .
[63] D. Dubois,et al. On the Combination of Evidence in Various Mathematical Frameworks , 1992 .
[64] Roger M. Cooke. Uncertainty in risk assessment: A probabilist's manifesto , 1988 .
[65] Yizong Cheng,et al. A study of associative evidential reasoning , 1987, Int. J. Approx. Reason..
[66] Rudolf Kruse,et al. On an information compression view of possibility theory , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.
[67] Liu Dsosu,et al. Fuzzy random measure and its extension theorem , 1983 .
[68] Didier Dubois,et al. On the combination of uncertain or imprecise pieces of information in rule-based systems-A discussion in the framework of possibility theory , 1988, Int. J. Approx. Reason..
[69] P. Walley. Statistical Reasoning with Imprecise Probabilities , 1990 .