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1991, vol. 1, br. 1, str. 79-90
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An approach for selecting appropriate methods for treating uncertainty in knowledge based systems
(naslov ne postoji na srpskom)
aUniverzitet u Beogradu, Institut 'Mihajlo Pupin'
bUniversity of Warwick, Great Britain
Sažetak
(ne postoji na srpskom)
The problem of representation of and reasoning with uncertain data and knowledge is of importance in a broad range of disciplines, e.g. artificial intelligence and expert systems, decision theory and information systems development. The aim of this paper is to review the four developed uncertainty management systems (UMS), which are in most common use: Bayes (Probability) Theory, Fuzzy Logic, Certainty Factors Method and Dempster-Shafer Theory. The main features of each method are presented along with their strengths and weaknesses. A number of different sources of uncertainty are identified. The power of each of the four systems in dealing with these different types of uncertainties is examined. In the second part a methodology for appropriate UMS selection is proposed. Selection is based on types of uncertainty inherent in a given application.
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Reference
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Baldwin, J.F. (1991) Inference under uncertainty for expert systems. u: Proceedings of Seminar: Expert Systems and Optimisation in Process Control, Brunei Conference Centre, str. 135-147
|
|
|
Barr, D.R., Zehno, P.W. (1983) Probability: Modeling uncertainty. Reading, MA, itd: Addison-Wesley
|
|
|
Bonisone, P.P., Tong, R.M. (1985) Reasoning with uncertainty in experts systems. International Journal of Man-Machine Studies, 22, str. 241-250 (editorial)
|
|
|
Gordon, J., Shortliffe, E.H. (1984) The Dempster-Shafer theory of evidence. u: Buchanan B.G. i E.H.Shortliffe [ur.] Rule-based expert systems: The MYCIN experiments of the Stanford Heuristic Programming Project, Reading, MA, itd: Addison-Wesley, str. 272-292
|
|
 
|
Henkind, S.J., Harrison, M.C. (1988) An analysis of four uncertainty calculi. IEEE Transactions on Systems Man and Cybernetics, 18, 5, 700-714 (1989)
|
|
5
|
Klir, G.J., Flogert, T.A. (1988) Fuzzy sets, uncertainty, and information. Englewood Cliffs, NJ, itd: Prentice Hall
|
|
|
Langley, R. (1979) Practical statistics: Simply explained. London: Pan Books
|
|
|
Mamdani, A., Efstatniou, J., Pang, D. (1985) Inference under uncertainty. u: Merry M. [ur.] Expert Systems: Proceedings of the Fifth Technical Conference of the British Computer Society, Specialist Group on Expert Systems, str. 181-190
|
|
3
|
Petrović, D., Petrović, R.I. (1990) SPARTA II: Further development in an expert system for advising on stocks of spare parts. u: Bradley H.E. [ur.] Operational Research '90: Selected papers from the Twelfth IFORS International Conference on Operational Research, Athens, Greece, 25-29 June, Heidelberg-Wien, itd: Physica Verlag, str. 617-628
|
|
|
Rothman, P. (1989) Selecting an uncertainty management system. AI Expert, jul, str. 56-62
|
|
|
Shortliffe, E.H., Buchanan, B.G. (1984) A model of inexact reasoning in medicine. u: Buchanan B.G. i E.H.Shortliffe [ur.] Rule-based expert systems: The MYCIN experiments of the Stanford Heuristic Programming Project, Reading, MA, itd: Addison-Wesley, str. 233-262
|
|
|
Sweeney, E.T. (1991) An integrated approach to the appraisal of investment opportunities in advanced manufacturing technology using expert system techniques. u: Proceedings of Fifth International Manufacturing Conference in China, Guangzou
|
|
|
Weichselberger, K., Pohlmann, S. (1990) A methodology for uncertainty in knowledge based systems. Berlin, itd: Springer Verlag
|
|
43
|
Zadeh, L.A. (1965) Fuzzy sets. Information and Control, vol. 8, br. 3, str. 338-353
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