-
1
-
-
0031206656
-
Approximation algorithms and decision making in the Dempster-Shafer theory of evidence -An empirical study
-
PII S0888613X97000133
-
Bauer, M.: Approximation algorithms and decision making in the Dempster-Shafer theory of evidence - An empirical study. IJAR 17(2-3), 217-237 (1997). (Pubitemid 127399852)
-
(1997)
International Journal of Approximate Reasoning
, vol.17
, Issue.2-3
, pp. 217-237
-
-
Bauer, M.1
-
2
-
-
0042656300
-
Dynamic reducts as a tool for extracting laws from decision tables
-
Rás, Z.W., Zemankova, M. (eds.) ISMIS 1994 Springer, Heidelberg
-
Bazan, J., Skowron, A., Synak, P.: Dynamic reducts as a tool for extracting laws from decision tables. In: Rás, Z.W., Zemankova, M. (eds.) ISMIS 1994. LNCS (LNAI), vol. 869, pp. 346-355. Springer, Heidelberg (1994).
-
(1994)
LNCS (LNAI)
, vol.869
, pp. 346-355
-
-
Bazan, J.1
Skowron, A.2
Synak, P.3
-
3
-
-
84957713178
-
Probabilistic rough induction: The GDT-RS methodology and algorithms
-
Rás, Z.W., Skowron, A. (eds.) ISMIS 1999 Springer, Heidelberg
-
Dong, J.Z., Zhong, N., Ohsuga, S.: Probabilistic rough induction: The GDT-RS methodology and algorithms. In: Rás, Z.W., Skowron, A. (eds.) ISMIS 1999. LNCS (LNAI), vol. 1609, pp. 621-629. Springer, Heidelberg (1999).
-
(1999)
LNCS (LNAI)
, vol.1609
, pp. 621-629
-
-
Dong, J.Z.1
Zhong, N.2
Ohsuga, S.3
-
4
-
-
0035501830
-
Belief decision trees: Theoretical foundations
-
DOI 10.1016/S0888-613X(01)00045-7, PII S0888613X01000457
-
Elouedi, Z., Mellouli, K., Smets, P.: Belief decision trees: Theoretical foundations. International Journal of Approximate Reasoning 28(2-3), 91-124 (2001). (Pubitemid 32833458)
-
(2001)
International Journal of Approximate Reasoning
, vol.28
, Issue.2-3
, pp. 91-124
-
-
Elouedi, Z.1
Mellouli, K.2
Smets, P.3
-
5
-
-
77950676488
-
A pre-pruning method in belief decision trees
-
Annecy, France
-
Elouedi, Z., Mellouli, K., Smets, P.: A Pre-Pruning Method in Belief Decision Trees. In: The Ninth International Conference on Information Processing and Management of uncertainty in Knowledge-Based Systems, IPMU 2002, Annecy, France, vol. 1, pp. 579-586 (2002).
-
(2002)
The Ninth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2002
, vol.1
, pp. 579-586
-
-
Elouedi, Z.1
Mellouli, K.2
Smets, P.3
-
6
-
-
0742307275
-
Assessing sensor reliability for multisensor data fusion within the transferable belief model
-
Elouedi, Z., Mellouli, K., Smets, P.: Assessing sensor reliability for multisensor data fusion within the transferable belief model. IEEE Trans. Syst. Man Cyben. 34(1), 782-787 (2004).
-
(2004)
IEEE Trans. Syst. Man Cyben.
, vol.34
, Issue.1
, pp. 782-787
-
-
Elouedi, Z.1
Mellouli, K.2
Smets, P.3
-
7
-
-
0030871099
-
The modified Dempster-Shafer approach to classification
-
PII S1083442797000039
-
Fixen, D., Mahler, R.P.S.: The modified Dempster-Shafer approach to classification. IEEE Trans Syst Man Cybern. 27(1), 96-104 (1997). (Pubitemid 127770693)
-
(1997)
IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.
, vol.27
, Issue.1
, pp. 96-104
-
-
Fixsen, D.1
Mahler, R.P.S.2
-
8
-
-
9444231706
-
Rough set strategies to data with missing attribute values
-
Melbourne, Florida
-
Grzymala-Busse, J.W.: Rough set strategies to data with missing attribute values. In: Workshop Notes, Foundations and New Directions of Data Mining, the 3rd International Conference on Data Mining, Melbourne, Florida, pp. 56-63 (2003).
-
(2003)
Workshop Notes, Foundations and New Directions of Data Mining, the 3rd International Conference on Data Mining
, pp. 56-63
-
-
Grzymala-Busse, J.W.1
-
9
-
-
34548834354
-
Rough set approaches to rule induction from incomplete data
-
Perugia Itally, July 4-9
-
Grzymala-Busse, J.W., Siddhaye, S.: Rough Set Approaches to Rule Induction from Incomplete Data. In: Proceedings of the IPMU 2004, Perugia, Itally, July 4-9, vol. 2, pp. 923-930 (2004).
-
(2004)
Proceedings of the IPMU 2004
, vol.2
, pp. 923-930
-
-
Grzymala-Busse, J.W.1
Siddhaye, S.2
-
10
-
-
0036454229
-
-
IEEE, Los Alamitos
-
Hong, T.P., Tseng, L.H., Chien, B.C.: Learning fuzzy rules from incomplete quantitative data by rough sets, pp. 1438-1442. IEEE, Los Alamitos (2002).
-
(2002)
Learning Fuzzy Rules from Incomplete Quantitative Data by Rough Sets
, pp. 1438-1442
-
-
Hong, T.P.1
Tseng, L.H.2
Chien, B.C.3
-
11
-
-
0010623928
-
A new distance between two bodies of evidence
-
DOI 10.1016/S1566-2535(01)00026-4, PII S1566253501000264
-
Jousseleme, A.L., Grenier, D., Bosse, E.: A new distance between two bodies of evidence. Information Fusion 2(2), 91-101 (2001). (Pubitemid 33632552)
-
(2001)
Information Fusion
, vol.2
, Issue.2
, pp. 91-101
-
-
Jousselme, A.-L.1
Grenier, D.2
Bosse, E.3
-
12
-
-
0033728781
-
Combining belief functions when evidence conflits
-
Murphy, C.K.: Combining belief functions when evidence conflits. Decision Support Systems 29, 1-9 (2000).
-
(2000)
Decision Support Systems
, vol.29
, pp. 1-9
-
-
Murphy, C.K.1
-
16
-
-
0002395767
-
The discernibility matrices and functions in information systems
-
Slowinski, R. (ed.) Kluwer Academic Publishers, Boston
-
Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems. In: Slowinski, R. (ed.) Intelligent Decision Support, pp. 331-362. Kluwer Academic Publishers, Boston (1992).
-
(1992)
Intelligent Decision Support
, pp. 331-362
-
-
Skowron, A.1
Rauszer, C.2
-
18
-
-
0028406490
-
The transferable belief model
-
Smets, P., Kennes, R.: The transferable belief model. Artificial Intelligence 66(2), 191-234 (1994).
-
(1994)
Artificial Intelligence
, vol.66
, Issue.2
, pp. 191-234
-
-
Smets, P.1
Kennes, R.2
-
19
-
-
0001099497
-
The transferable belief model for quantified belief representation
-
Gabbay, D.M., Smets, P. (eds.) Kluwer, Doordrecht
-
Smets, P.: The transferable belief model for quantified belief representation. In: Gabbay, D.M., Smets, P. (eds.) Handbook of Defeasible Reasoning and Uncertainty Management Systems, vol. 1, pp. 267-301. Kluwer, Doordrecht (1998).
-
(1998)
Handbook of Defeasible Reasoning and Uncertainty Management Systems
, vol.1
, pp. 267-301
-
-
Smets, P.1
-
20
-
-
0031999096
-
Application of the transferable belief model to diagnostic problems
-
Smets, P.: Application of the transferable belief model to diagnostic problems. International Journal of Intelligent Systems 13(2-3), 127-157 (1998). (Pubitemid 128591038)
-
(1998)
International Journal of Intelligent Systems
, vol.13
, Issue.2-3
, pp. 127-157
-
-
Smets, P.1
-
21
-
-
0027609211
-
Approximations for efficient computation in the theory of evidence
-
DOI 10.1016/0004-3702(93)90072-J
-
Tessem, B.: Approximations for efficient computation in the theory of evidence. Artif. Intell. 61(2), 315-329 (1993). (Pubitemid 23669076)
-
(1993)
Artificial Intelligence
, vol.61
, Issue.2
, pp. 315-329
-
-
Tessem Bjornar1
-
22
-
-
36148967330
-
Pruning belief decision tree methods in averaging and conjunctive approaches
-
Trabelsi, S., Elouedi, Z., Mellouli, K.: Pruning belief decision tree methods in averaging and conjunctive approaches. International Journal of Approximate Reasoning 46, 91-124 (2007).
-
(2007)
International Journal of Approximate Reasoning
, vol.46
, pp. 91-124
-
-
Trabelsi, S.1
Elouedi, Z.2
Mellouli, K.3
-
23
-
-
58049165301
-
Learning decision rules from uncertain data using rough sets
-
Madrid, Spain, September 21-24 World Scientific, Singapore
-
Trabelsi, S., Elouedi, Z.: Learning decision rules from uncertain data using rough sets. In: The 8th International FLINS Conference on Computational Intelligence in Decision and Control, Madrid, Spain, September 21-24, pp. 114-119. World Scientific, Singapore (2008).
-
(2008)
The 8th International FLINS Conference on Computational Intelligence in Decision and Control
, pp. 114-119
-
-
Trabelsi, S.1
Elouedi, Z.2
-
24
-
-
77949291930
-
Heuristic method for attribute selection from partially uncertain data using rough sets
-
Trabelsi, S., Elouedi, Z.: Heuristic method for attribute selection from partially uncertain data using rough sets. International Journal of General Systems 39(3), 271-290 (2010).
-
(2010)
International Journal of General Systems
, vol.39
, Issue.3
, pp. 271-290
-
-
Trabelsi, S.1
Elouedi, Z.2
-
25
-
-
76649093322
-
Dynamic reduct from partially uncertain data using rough sets
-
Sakai, H., Chakraborty, M.K., Hassanien, A.E., ́Slezak, D., Zhu, W. (eds.) RSFDGrC 2009 Springer, Heidelberg
-
Trabelsi, S., Elouedi, Z., Lingras, P.: Dynamic reduct from partially uncertain data using rough sets. In: Sakai, H., Chakraborty, M.K., Hassanien, A.E., ́Slezak, D., Zhu, W. (eds.) RSFDGrC 2009. LNCS (LNAI), vol. 5908, pp. 160-167. Springer, Heidelberg (2009).
-
(2009)
LNCS (LNAI)
, vol.5908
, pp. 160-167
-
-
Trabelsi, S.1
Elouedi, Z.2
Lingras, P.3
-
26
-
-
79956273749
-
A comparison of dynamic and static belief rough set classifier
-
Szczuka,M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds.) RSCTC 2010 Springer, Heidelberg
-
Trabelsi, S., Elouedi, Z., Lingras, P.: A comparison of dynamic and static belief rough set classifier. In: Szczuka,M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds.) RSCTC 2010. LNCS (LNAI), vol. 6086, pp. 366-375. Springer, Heidelberg (2010).
-
(2010)
LNCS (LNAI)
, vol.6086
, pp. 366-375
-
-
Trabelsi, S.1
Elouedi, Z.2
Lingras, P.3
-
27
-
-
69849094459
-
Belief rough set classifier
-
Gao, Y., Japkowicz, N. (eds.) AI 2009 Springer, Heidelberg
-
Trabelsi, S., Elouedi, Z., Lingras, P.: Belief rough set classifier. In: Gao, Y., Japkowicz, N. (eds.) AI 2009. LNCS (LNAI), vol. 5549, pp. 257-261. Springer, Heidelberg (2009).
-
(2009)
LNCS (LNAI)
, vol.5549
, pp. 257-261
-
-
Trabelsi, S.1
Elouedi, Z.2
Lingras, P.3
-
28
-
-
77954878266
-
Rule discovery process based on rough sets under the belief function framework
-
Ḧullermeier, E., Kruse, R., Hoffmann, F. (eds.) IPMU 2010 Springer, Heidelberg
-
Trabelsi, S., Elouedi, Z., Lingras, P.: Rule discovery process based on rough sets under the belief function framework. In: Ḧullermeier, E., Kruse, R., Hoffmann, F. (eds.) IPMU 2010. LNCS (LNAI), vol. 6178, pp. 726-736. Springer, Heidelberg (2010).
-
(2010)
LNCS (LNAI)
, vol.6178
, pp. 726-736
-
-
Trabelsi, S.1
Elouedi, Z.2
Lingras, P.3
-
29
-
-
0001135230
-
Data mining: A probabilistic rough set approach
-
Zhong, N., Dong, J.Z., Ohsuga, S.: Data mining: A probabilistic rough set approach. In: Rough Sets in Knowledge Discovery, vol. 2, pp. 127-146 (1998).
-
(1998)
Rough Sets in Knowledge Discovery
, vol.2
, pp. 127-146
-
-
Zhong, N.1
Dong, J.Z.2
Ohsuga, S.3
-
30
-
-
0002194966
-
Using generalization distribution tables as a hypotheses search space for generalization
-
Zhong, N., Ohsuga, S.: Using generalization distribution tables as a hypotheses search space for generalization. In: Proceedings of Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery, RSFD 1996, pp. 396-403 (1996).
-
(1996)
Proceedings of Fourth International Workshop on Rough Sets Fuzzy Sets and Machine Discovery RSFD 1996
, pp. 396-403
-
-
Zhong, N.1
Ohsuga, S.2
-
31
-
-
0032072012
-
An evidence-theoretic fc-nn rule with parameter optimization
-
PII S1094697798025218
-
Zouhal, L.M., Denoeux, T.: An evidence-theory k-NN rule with parameter optimization. IEEE Trans. Syst. Man Cybern. 28(2), 263-271 (1998). (Pubitemid 128748625)
-
(1998)
IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
, vol.28
, Issue.2
, pp. 263-271
-
-
Zouhal, L.M.1
Deneux, T.2
|