Abstract
An expert’s knowledge of an application is concerned with general tendencies, what is likely to be the case, frequent conjunctions, rules of thumb and other forms of statistical statements. An investigator may know that a certain type of crime is common among criminals of a certain type, an insurance company may know that a person with certain characteristics is a good risk, a doctor knows that certain symptoms almost always means the person is suffering from a given disease. The conclusion in each of these cases comes from studying tendencies in a population of relevant cases and using these to infer something about an individual case.
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References
Baldwin J.F, (1986), “Support Logic Programming”, in: A.I. Jones et al,. Eds., Fuzzy Sets Theory and Applications, (Reidel, Dordrecht-Boston).
Baldwin J.F, (1987), “Evidential Support Logic Programming”, Fuzzy Sets and Systems, 24, pp 1–26.
Baldwin J.F. et al, (1987), “FRIL Manual”, Fril Systems Ltd, St Anne’s House, St Anne’s Rd, Bristol BS4 4A, UK
Baldwin J.F., (1990a), “Computational Models of Uncertainty Reasoning in Expert Systems”, Computers Math. Applic., Vol. 19, No 11, pp 105–119.
Baldwin J.F., (1990b), “Combining Evidences for Evidential Reasoning”, Int. J. of Intelligent Systems, To Appear.
Baldwin J.F., (1990c), “Towards a general theory of intelligent reasoning”, 3rd Int. Conf IPMU, Paris, July 1990
Dubois D., Prade H., (1986), “On the unicity of Dempster Rule of Combination”, Int. J. of Intelligent Systems, 1, no. 2, pp 133–142
Jeffrey R., (1965) “The Logic of Decision”, McGraw-Hill, New York
Klir GJ., Folger T.A., (1988), Fuzzy Sets, Uncertainty, and Information, Prentice-
Lauritzen S.L, Spiegelhalter DJ., (1988), Local computations with probabilities on graphical structures and their application to expert systems, J. Roy. Stat. Soc. Ser. B 50(2), 157–224
Pearl J., (1988), “Probabilistic reasoning in Intelligent Systems”, Morgan Kaufmann Pub. Co.
Shafer G., (1976), “A mathematical theory of evidence”, Princeton Univ. Press
Shenoy P.P., (1989), A Valuation - Based Language for Expert Systems, Int. J. of Approx. Reasoning, V013, No. 5.
Zadeh L, (1965), “Fuzzy sets”, Information and Control, 8, pp 338–353.
Zadeh L, (1978), “Fuzzy Sets as a basis for a theory of Possibility”, Fuzy Sets and Systems 1, 3–28
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© 1992 Springer Science+Business Media New York
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Baldwin, J.F. (1992). Evidential Reasoning Under Probabilistic and Fuzzy Uncertainties. In: Yager, R.R., Zadeh, L.A. (eds) An Introduction to Fuzzy Logic Applications in Intelligent Systems. The Springer International Series in Engineering and Computer Science, vol 165. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3640-6_15
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DOI: https://doi.org/10.1007/978-1-4615-3640-6_15
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