Uncertain Inference in Knowledge‐Based Systems
Publication: Journal of Engineering Mechanics
Volume 113, Issue 4
Abstract
The role of uncertainty analysis in the development of computer knowledge bases for civil engineering systems is discussed. It is argued that the term “expert system” should be replaced by “advice system” to avoid misunderstandings between the designers and users of such systems. An engineer is an expert to the extent that he is a responsible decision maker. The computer can only advise him; it cannot replace him. A new inference method of direct use in advice systems is presented. The method combines features of the theory of fuzzy sets, Shafer's theory of evidence and probability theory. The method follows the Horn clause logic representation of Prolog. Unlike probability theory, it does not rely upon a closed‐world form of knowledge representation, and can allow the modeling of total uncertainty. The Prolog form of negation by failure is not used. The method involves the use of necessary and possibility measures for the truth or dependability of a proposition. Examples are given of its use and a small model knowledge base for an advice system is described.
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References
1.
Alty, J. L., and Coombs, M. J. (1984). “Expert Systems,” NCC Publications, Manchester, England.
2.
Baldwin, J. F. (1981). “Fuzzy Logic and Fuzzy Reasoning.” Fuzzy Reasoning and Its Applications, E. M. Mamdani and B. R. Gaines, eds., Academic Press, pp. 133–148.
3.
Baldwin, J. F. (1985). “Support Logic Programming,” Intelligent Systems. Nato Advanced Study Institute on Fuzzy Sets, Louvain‐la‐Neuve, Belgium.
4.
Blockley, D. I. (1980). The Nature of Structural Design and Safety. Ellis Horwood.
5.
Blockley, D. I. (1985). “Reliability or Responsibility.” Struct. Safety 2, pp. 273–280.
6.
Blockley, D. I. (1986). “Fuzziness and Probability: A Discussion of Gaine's Axioms,” Civ. Engrg. Systems 2, Dec., pp. 195–200.
7.
Blockley, D. I., Pilsworth, B. W., and Baldwin, J. F. (1983a). “Structural Safety as Inferred from a Fuzzy Relational Knowledge Base,” ICASP‐4. Florence, Italy.
8.
Blockley, D. I., Pilsworth, B. W., and Baldwin, J. F. (1983b). “Measures of Uncertainty,” Civ. Engrg. Systems 1, Sept.
9.
Clocksin, W. F., Mellish, C. S. (1981). Programming in Prolog. Springer‐Verlag, Berlin, Germany.
10.
Duda, R. O., Gaschnig, J., and Hart, P. E. (1979). “Model Design in the PROSPECTOR Consultant Program for Mineral Exploration,” Expert Systems in the Microelectronic Age, D. Michie, ed. Edinburgh Univ. Press, Edinburgh, Scotland.
11.
Fenves, S. J., Maher, K. L., and Sriram, D. (1984). “Expert System: CE Potential,” Civil Engrg., ASCE54 (10), pp. 44–47.
12.
Forsyth, R. (1984). Expert Systems. Chapman & Hall, London, England.
13.
Ogawa, H., Fu, K. S., and Yao, J. T. P. (1984). “Speril II:‐ An Expert System for Damage Assessment of Existing Structures.” Technical Report CE‐STR‐84‐11. Purdue Univ.
14.
Shafer, G. (1976). A Mathematical Theory of Evidence. Princeton Univ. Press.
15.
Shepherdson, J. C. (1984). “Negation as Failure.” Inference Workshop ICL, Sept.
16.
Shortliffe, E. H. (1976). Computer Based Medical Consultations: MYCIN. Elsevier, New York, N.Y.
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Copyright © 1987 ASCE.
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Published online: Apr 1, 1987
Published in print: Apr 1987
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