Flexible control of case-based prediction in the framework of possibility theory

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1898, Issue , 2000, Pages 61-73

  Dubois, Didier ^a   Hüllermeier, Eyke ^a   Prade, Henri ^a  

^a UNIVERSITÉ PAUL SABATIER   (France)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY INFERENCE; FUZZY SETS;

APPROXIMATE REASONING; DENSITY ESTIMATION; FLEXIBLE CONTROL; INFERENCE PROCESS; POSSIBILITY THEORY; POSSIBILITY THEORY AND FUZZY SETS; SIMILAR SOLUTION; SIMILARITY MEASURE;

CASE BASED REASONING;

EID: 84948155046     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44527-7_7     Document Type: Conference Paper

References (18)

1. A. Aamodt and E. Plaza. Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Communications, 7(1):39-59, 1994.
2. D. W. Aha, D. Kibler, and M. K. Albert. Instance-based learninga lgorithms. Machine Learning, 6(1):37-66, 1991.
3. C. M. Bishop. Neural Networks for Pattern Recognition. Clarendon Press, Oxford, 1995.
4. B. V. Dasarathy, editor. Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques. IEEE Computer Society Press, Los Alamitos, California, 1991.
5. B. V. Dasarythy. Nosinga round the neighborhood: A new system structure and classification rule for recognition in partially exposed environments. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2(1):67-71, 1980.
6. T. Denoeux. A k-nearest neighbor classification rule based on Dempster-Shafer Theory. IEEE Trans. Systems, Man, and Cybernetics, 25(5):804-813, 1995.
7. D. Dubois, F. Esteva, P. Garcia, L. Godo, R. Lopez de Mantaras, and H. Prade. Fuzzy set modellingin case-based reasoning. Int. J. Intell. Syst., 13:345-373, 1998.
8. D. Dubois and H. Prade. The three semantics of fuzzy sets. Fuzzy Sets and Systems, 90(2):141-150, 1997.
9. S. A. Dudani. The distance-weighted k-nearest-neighbor rule. IEEE Transactions on Systems, Man, and Cybernetics, SMC-6(4):325-327, 1976.
10. M. E. Hellman. The nearest neighbor classification rule with a reject option. IEEE Transactions on Systems, Man, and Cybernetics, SSC-6:179-185, 1970.
11. E. Hüllermeier. Toward a probabilistic formalization of case-based inference. Proc. IJCAI-99, pages 248-253, 1999.
12. E. Hüllermeier, D. Dubois, and H. Prade. Knowledge-based extrapolation of cases: A possibilistic approach. In Proceedings IPMU-2000, 2000. To appear.
13. M. Jaczynski and B. Trousse. Fuzzy logic for the retrieval step of a case-based reasoner. In Proc. EWCBR-94, pages 313-321, 1994.
14. D. Kibler and D. W. Aha. Instance-based prediction of real-valued attributes. Computational Intelligence, 5:51-57, 1989.
15. P. Myllymäki and H. Tirri. Bayesian case-based reasoningw ith neural networks. Proc. IEEE Int. Conf. Neural Networks, pages 422-427, 1993.
16. E. Plaza, F. Esteva, P. Garcia, L. Godo, and R. Lopez de Mantaras. A logical approach to case-based reasoningus ing fuzzy similarity relations. Journal of Information Sciences, 106:105-122, 1998.
17. R. R. Yager. Case-based reasoning, fuzzy systems modelling and solution composition. Proc. ICCBP-97, pages 633-643, 1997.
18. L. A. Zadeh. A fuzzy-set theoretic interpretation of linguistic hedges. J. Cybernetics, 2(3):4-32, 1972.