References
- Wise B. P., Henrion M. A framework to compare uncertain intcrence systcnis to probability. Uncertainty in Artificial Intelligence, L. N. Kanal, J. F. Lemmer. North-Holland, New York 1986; 69–85
- Bhatnagar R. K., Kanal L. N. Handling uncertain infomiation: a rcvien or numeric and non-numeric methods, L. N. Kanal, J. F. Lernmer, 1986; 326, op cit.
- Fox J. Knowledge, decision making, and uncertainty. Artificial Intelligence and Statistics, W. Gale. Addison-Wesley, Reading, MA 1986; 55–77
- Cohen P. R. Heuristic Reasoning about Uncertainty. Pitmans, Boston, M.A 1985
- Spimgelhalter D. J. Uncertainty in expert systems, W. Gale, 1985; 17–48, op. cit.
- Shafer G. A Mathematical Theory of Evidence. Princeton University Press, Princeton, NJ 1976
- Zadeh L. A. Probability measures of fuzzy events. Journal of Mathematical Anulyszs and Applications 1968; 23: 421–427
- de Finetti B. Probability, Induction and Statistrcs. Wiley, Boston, MA 1972
- Lindlen D. V. Scoring rules and the inevitability of probability. International Statistical Review 1982; 50: 1–26
- Shortliffe E. H., Buchanan B. G. A model of inexact reasoning in medicine. Mathematical Biosciences 1979; 23: 351–379
- De Dombal F. T. Computer-aided diagnosis of acute abdominal pain. British Medical Journal 1972; 2: 9–13
- Adams J. B. Probabilistic reasoning and certainty factors. Mathematical Bioscience 1976; 32: 177–186
- Johnson R. W. Independence and Bayesian updating methods, L. N. Kanal, J. F. Lemmer, 1986; 197–203, op. cit.
- Pople H. E. IIeuristic method for imposing structure of ill structured problems: the structure of medical diagnostics. Artificial Intelligence in Medicine, P. Szolovits. Westview, Washington, DC 1982; 118–189
- Alvey P. L., Myers C. D. High performance for expert systems: escaping from the demonstrator class. Medical Informatics 1987; 12: 85–95
- Cheeseman P. Probabilistic vs. fuzzy reasoning, L. N. Kanal, J. F. Lemmer, 1986; 85–103, op. cit.
- Fung R. M., Chong C. Y. Metaprobability and Dempster-Shafer in ebidential reasoning, L. N. Kanal, J. F. Lemmer, 1986; 295–302, op. cit.
- Speigelhalter D. J. Probabilistic reasoning in predictive expert systems, L. N. Kanal, J. F. Lemmer, 1986; 47–69, op. cit.
- Shafer G. Probability judgment in artificial intelligence, L. N. Kanal, J. F. Lemmer, 1986; 127–137, og. cit.
- Gordon J., Shortliffe E. H. The Dempster-Shafer theory of evidence. Rule Based Expert Systems, B. G. Buchanan, E. H. Shortliffe. Addison-Wesley, Reading, MS 1984; 272–292
- Lemmer J. F. Confidence factors, empiricism and the Dempster-Shafer theory of evidence, L. M. Kanal, J. F. Lemmer, 1986; 117–127, op. cit.
- Grosof B. N. An inequality paradigm for probabilistic knowledge: the logic of conditional probability intervals, L. N. Kanal, J. F. Lemmer, 1986; 259–279, op. cit.
- Zadeh L. A. Is probability theory sufficient for dealing with uncertainty in AI: a negative view, L. N. Kanal, J. F. Lemmer, 1986; 103–117, op. cit.
- Stallings W. Fuzzy set theory versus Bayesian statistics. IEEE Transactions on Systems, Man and Cybernetics 1977; 10: 216–219
- Haack S. Do we need fuzzy logic. International Journal of Man-Machine Studies 1979; 11: 437–447
- Pauker S. G., Szolovits P. Categorical and probabilistic reasoning in medical diagnosis. Artificial Intelligence 1978; 11: 115–144
- Hoevitz E., Heckerman D. The inconsistent use of measures of certainty in artificial intelligence research, J. F. Lemmer, L. N. Kanal, 1986; 137–153, op cit.
- Nii H. P., Feigenbaum E. A. Signal-to-symbol transformation: HASP/SIAP case study. Artificial Intelligence Magazine 1982; 3: 23–35
- Holtzman S. Exact reasoning about uncertainty, L. N. Kanal, J. I. Lemmer, 1986; 339–345, op. cit.
- Heckerman D. Probabilistic interpretation of MYCIN certainty factors, L. N. Kanal, J. F. Lemmer, 1986; 167–197, op. cit.
- Howard R. A. Influence diagrams. Readings on the Principles and Applications of Decisions Analysi. Menlo Park, CA 1981, chapter 37
- Pearl J. Reverend Bayes on inference engines: a distributed hierarchical approach. Proceedings of AAAI Conference on Artificial Intelligence. 1982; 133–136
- Pearl J. A constraint–propagation approach to probabilistic reasoning, L. N. Kanal, J. F. Lcmmer, 1986; 357–369, op. cit.
- Chandresekaran B. Uncertainty handling in expert systems: uniform vs. task-specific formulations, L. N. Kanal, J. F. Lemmer, 1986; 35–47, op. cit.
- Fox J. Three arguments for extending the framework of probability, L. N. Kanal, J. F. Lemmer, 1986; 447–458, op. cit.
- Bonissone F. P., Decker K. S. Selecting uncertainty calculi and granularity: an experiment in trading-offprecision and complexity, L. N. Kanal, J. F. Lemmer, 1986; 217–240, op. cit.