Abstract
To use reasoning knowledge accurately and efficiently, many reasoning methods have been proposed. However, the differences in form among the methods may obstruct the systematical analysis and harmonious integration of them. In this paper, a common reasoning model JUM (Judgement Model) is introduced. According to JUM, a common knowledge representation form is abstracted from different reasoning methods and its limitation is reduced. We also propose an algorithm for transforming one type of JUMs into another. In some cases, the algorithm can be used to resolve the key problem of integrating different types of JUM in one system. It is possible that a new architecture of knowledge-based system can be realized under JUM.
Similar content being viewed by others
References
P. R. Cohen Heuristic Reasoning about Uncertainty; An Artificial Intelligence Approach, Pitman Publishing Inc., (1985).
B. O. Duda,et al., A computer-based consultant for mineral exploration, Final Report, SRI Project 6415 Grant AER 77-04499, (1979).
G. Shafer, A Mathematical Theory of Evidence, Princeton University Press, (1976).
E. H. Shortliffe, Computer-Based Medical Consultation: MYCIN, New York, American Elsevier, (1976).
L. A. Zadeh, The role of fuzzy logic in the management of uncertainty in expert systems,Fuzzy Sets and Systems,11 (1983), 199–227.
Zheng Fangqing, Numeric Reasoning About Uncertainty: A Unified Model, Ph. D. thesis, Computer Science Department, Jilin University, (1989).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Zheng, F. A common reasoning model and its application in knowledge-based system. J. of Compt. Sci. & Technol. 6, 59–65 (1991). https://doi.org/10.1007/BF02943408
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF02943408