Abstract
A knowledge-based system (KBS) for diagnosis of multiple defects in injection molding is presented. The general scheme for knowledge representation based on fuzzy set theory has been shown useful in representing inexact and incomplete information for develo** the KBS. An optimality criterion is created for selecting a simple and ‘best’ cover to explain the given problem. An efficient search algorithm for finding such cover is also discussed.
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References
Bratko, I., (1986)PROLOG Programming for Artificial Intelligence, Addison-Wesley, 208–10
Feigenbaum, E. A., Buchana, B. G. and Lederberg, J., (1971) ‘On Generality and Problem Solving — A Case Study Involving the DENDRAL Program’, in Meltzer, B. (ed.),Machine Intelligence 6, Edinburgh University Press, 165–90.
Henrion, M., (1987) ‘Uncertainty in Artificial Intelligence: Is Probability Epistemologically and Heuristically Adequate?’, in Manpower, J. L., Phillips, L. D., Renn, O. and Uppuluri, V. R. R. (eds),Expert Judgment and Expert Systems, Springer-Verlag, 106–29.
Kadesch, R. R., (1986) ‘Subjective Inference with Multiple Evidence’,Artificial Intelligence,28, 333–41.
Kandel, A., (1986)Puzzy Mathematical Techniques with Applications, Addison-Wesley.
McCarthy, L. R., (1989) ‘Trouble Shooting: Here Are Tips on Solving Common Moisture Problems’,Plastic World/1989 Directory, 313–17.
Monsanto Co., (1988)Injection Molding of Lustran ABS/SAN Resin and Cadon Engineering Thermoplastics, Monsanto Plastic.
Norwich, A. M. and Turksen, I. B. (1982) ‘Stochastic Fuzziness’, in Gupta, M. M. and Sanchez, E. (eds),Approximate Reasoning In Decision Analysis, North-Holland, 13–22.
Pandelidis, I. O. and Lin, Z., (1988) ‘Injection Molding Diagnosis Based on Priority-First Minimum Cover’,Conference Proceeding of Annually Technical Conference ANTEC of the Society of Plastics Engineering, April 1988, 313–315.
Phelps, R. H. and Shanteau, J., (1978) ‘Livestock Judges: How Much Information Can An Expert Use?’,Organizational Behavior and Human Performance 21, 209–19.
Reggia, J. A., (1982) ‘Computer-assisted Medical Decision Making’,Applications of Computers in Medicine, IEEE, 198–213.
Reggia, J., Nau, D. and Wang, P., (1983) ‘Diagnostic Expert Systems Based on a Set Covering Model’,International Journal of Man Machine Studies 19, 437–60.
Reggia, J., Nau, D., Peng, Y. and Perricone, B., (1985) ‘A Theoretical Foundation for Abductive Expert Systems’, in Gupta, M. M., Kandel, A., Bandler, W. and Kiszka, J. B. (eds),Approximate Reasoning In Expert Systems, North-Holland, 459–72.
Rosato, D. V., (1986) ‘Molding Problems and Solutions’, in Rosato, D. V. (eds),Injection Molding Handbook, 659–82.
Rubin, I. I., (1972) ‘Correcting Molding Faults’,Injection Molding Theory and Practice, John Wiley & Sons.
Shortliffe, E. H., (1976) ‘Computer-Based Medical Consultations’, MYCIN, North-Holland.
Sugeno, M., (1985) ‘An Introductory Survey of Fuzzy Control’,Information Sciences 36, 59–83.
Zadeh, L. A., (1979) ‘Fuzzy Sets and Information Granularity’, in Gupta, M., Ragade, R. and Yager, R. (eds),Advances in Fuzzy Set Theory and Application, North-Holland, 3–18.
Zadeh, L. A., (1965) ‘Fuzzy Sets’,Information and Control 8, 339–53.
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Pandelidis, I.O., Kao, JF. DETECTOR: A knowledge-based system for injection molding diagnostics. J Intell Manuf 1, 49–58 (1990). https://doi.org/10.1007/BF01471341
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DOI: https://doi.org/10.1007/BF01471341