An algorithm for learning from erroneous and incorrigible examples

International Journal of Intelligent Systems

Volumn 11, Issue 8, 1996, Pages 565-581

  Kacprzyk, Janusz ^a   Szkatuła, Grazyna ^a  

^a SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERRORS; KNOWLEDGE ACQUISITION; OPTIMIZATION; RELIABILITY;

ANALYTICAL HIERARCHY PROCESS; ERRONEOUS EXAMPLES; INCORRIGIBLE EXAMPLES; INDUCTIVE LEARNING;

LEARNING SYSTEMS;

EID: 0030216408     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/(sici)1098-111x(199608)11:8<565::aid-int3>3.0.co;2-j     Document Type: Article

References (16)

1. R.S. Michalski, "A theory and methodology of inductive learning," in Machine Learning, R. Michalski, J. Carbonell, and T.M. Mitchell, eds., Tioga Press, Palo Alto, CA, 1983.
2. R.S. Michalski, "Discovering classification rules using variable-valued logic system VL1," Proceedings of the Third International Joint Conference on Artificial Intelligence (IJCAI), 1973, pp. 162-172.
3. J.R. Quinlan, "Discovering rules from large collections of examples: A case study," in Expert Systems in the Micro Electronic Age, D. Michie, Ed., Edinburgh University Press, Edinburgh, 1979.
4. J.R. Quinlan "Induction of decision trees," Mach. Learn. 1, 81-106 (1986).
5. J. Kacprzyk and C. Iwański, "Machine learning from incomplete and imprecise examples," in Proceedings of 8th Italian-Polish Symposium on Systems Analysis and Decision Support in Economics and Technology, M. Fedrizzi and J. Kacprzyk, eds., Omnitech Press, Warsaw 1990, pp. 209-223.
6. J. Kacprzyk and C. Iwański, "Inductive learning from incomplete and imprecise examples," in Uncertainty in Knowledge Bases, B. Bouchon-Meunier, R.R. Yager, and L.A. Zadeh, Eds., Springer-Verlag, Berlin, 1991, pp. 424-430.
7. J. Kacprzyk and C. Iwański, "Inductive learning under imprecision and errors," Proceedings of the Fourth IFSA Congress, (Brussels, Belgium), Ser. Artificial Intelligence. 1991, pp. 78-81.
8. J. Kacprzyk and C. Iwański, "Fuzzy logic with linguistic quantifiers in inductive learning," in Fuzzy Approach to Reasoning and Decision Making, V. Novak, J. Ramik, J. Mares, M. Cerny, and J. Nekola, eds., Kluwer, Dordrecht/Boston/London/Tokyo, and Academia, Praga, 1992, pp. 29-38.
9. J. Kacprzyk and C. Iwański, "Fuzzy logic with linguistic quantifiers in inductive learning," in Fuzzy Logic for the Management of Uncertainty, L. A. Zadeh and J. Kacprzyk, eds., Wiley, New York, 1992, pp. 465-478.
10. J. Kacprzyk and C. Iwański "Fuzzy quantifiers in inductive learning with perception of errors in data," Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE '92), 1992, pp. 477-484.
11. J. Kacprzyk and G. Szkatuła, "Machine learning from examples under errors in data," Proceedings of Fifth International Conference in Information Processing and Management of Uncertainty in Knowledge-Based Systems-IPMU'94, (Paris, France), Vol. 2, 1994, pp. 1047-1051.
12. J. Kacprzyk and G. Szkatuta, "An approach to inductive learning under errors in data," Proceedings of the 1994 Second Australian and New Zealand Conference on Intelligent Information Systems-ANZIIS '94, (Brisbane, Australia). 1994, pp. 352-356.
13. T.L. Saaty, The Analytic Hierarchy Process, McGraw-Hill, New York, 1980.
14. R.S. Garfinkel and G.L. Nemhauser, Integer Programing, Wiley, New York-London-Sydney-Toronto, 1978.
15. C. Iwański and G. Szkatuła, "Inductive learning supported by integer programming," Comput. Artif. Intell, 10, 57-66.
16. R.S. Michalski, I. Mozetic, J. Hong, and N. Lovrac, "The multi-purpose incremental learning system AQ15 and its testing application to three medical domains," Proceedings of the 5th National Conference on Artificial Intelligence, (Philadelphia, PA), Morgan Kaufmann, San Mateo, CA, 1986, pp. 1041-1045.