-
1
-
-
0040656016
-
Symmetries and assymetries in evidential support
-
Eells, E., Fitelson, B. (2002), Symmetries and assymetries in evidential support. Philosophical Studies, 107, 129-142
-
(2002)
Philosophical Studies
, vol.107
, pp. 129-142
-
-
Eells, E.1
Fitelson, B.2
-
3
-
-
2942731448
-
Can Bayesian confirmation measures be useful for rough set decision rules?
-
Greco, S., Pawlak, Z., Słowiński, R. (2004), Can Bayesian confirmation measures be useful for rough set decision rules? Engineering Applications of Artificial Intelligence, 17, 345-361
-
(2004)
Engineering Applications of Artificial Intelligence
, vol.17
, pp. 345-361
-
-
Greco, S.1
Pawlak, Z.2
Słowiński, R.3
-
6
-
-
0004174560
-
-
Kluwer, Dordrecht
-
Pawlak, Z. (1991), Rough Sets, Kluwer, Dordrecht
-
(1991)
Rough Sets
-
-
Pawlak, Z.1
-
7
-
-
0036027401
-
Rough sets, decision algorithms and Bayes' theorem
-
Pawlak, Z. (2002), Rough Sets, decision algorithms and Bayes' Theorem. European Journal of Operational Research, 136, 181-189
-
(2002)
European Journal of Operational Research
, vol.136
, pp. 181-189
-
-
Pawlak, Z.1
-
8
-
-
0002970340
-
Rough membership functions
-
R. R. Yager, M. Fedrizzi and J. Kacprzyk (eds.), Wiley, New York
-
Pawlak, Z., Skowron, A. (1994), Rough membership functions. [In]: R. R. Yager, M. Fedrizzi and J. Kacprzyk (eds.), Advances in the Dempster-Shafer Theory of Evidence, Wiley, New York, pp. 251-271
-
(1994)
Advances in the Dempster-Shafer Theory of Evidence
, pp. 251-271
-
-
Pawlak, Z.1
Skowron, A.2
-
10
-
-
19044395769
-
Rough sets and Bayes factor
-
LNCS 3400
-
Ślȩzak, D. (2005), Rough sets and Bayes factor. Transactions on Rough Sets III, LNCS 3400, 202-229
-
(2005)
Transactions on Rough Sets III
, pp. 202-229
-
-
Ślȩzak, D.1
-
11
-
-
18944392697
-
Bayesian rough set model
-
Meabashi City, Japan
-
Ślȩzak, D. Ziarko, W. (2002), Bayesian rough set model. [In]: Proc. of Intl. Conference on Data Mining. Foundations of Data Mining and Knowledge Discovery Workshop, Meabashi City, Japan, pp. 131-136
-
(2002)
Proc. of Intl. Conference on Data Mining. Foundations of Data Mining and Knowledge Discovery Workshop
, pp. 131-136
-
-
Ślȩzak, D.1
Ziarko, W.2
-
12
-
-
84947795587
-
An analysis of quantitative measures associated with rules
-
N. Zhong and L. Zhou (eds.), Methodologies for Knowledge Discovery and Data Mining, Springer-Verlag, Berlin
-
Yao, Y.Y., Zhong, N. (1999), An analysis of quantitative measures associated with rules. [In]: N. Zhong and L. Zhou (eds.), Methodologies for Knowledge Discovery and Data Mining. Lecture Notes in Artificial Intelligence, 1574, Springer-Verlag, Berlin, pp. 479-488
-
(1999)
Lecture Notes in Artificial Intelligence
, vol.1574
, pp. 479-488
-
-
Yao, Y.Y.1
Zhong, N.2
-
13
-
-
0027543613
-
Variable precision rough sets model
-
Ziarko, W. (1993), Variable precision Rough Sets Model, Journal of Computer and System Science, 46, 1, 39-59
-
(1993)
Journal of Computer and System Science
, vol.46
, Issue.1
, pp. 39-59
-
-
Ziarko, W.1
-
14
-
-
0000016129
-
Variable precision rough sets with asymmetric bounds
-
W. Ziarko (ed.), Springer-Verlag, Berlin
-
Ziarko, W. (1994), Variable precision rough sets with asymmetric bounds. [In]: W. Ziarko (ed.), Rough sets, Fuzzy sets and Knowledge Discovery, Springer-Verlag, Berlin, pp. 167-177
-
(1994)
Rough Sets, Fuzzy Sets and Knowledge Discovery
, pp. 167-177
-
-
Ziarko, W.1
-
15
-
-
33646006347
-
Set approximation quality measures in the variable precision rough set model
-
IOS Press
-
Ziarko, W. (2001), Set approximation quality measures in the variable precision rough set model. [In]: Soft Computing Systems, Management and Applications, IOS Press, pp. 442-452
-
(2001)
Soft Computing Systems, Management and Applications
, pp. 442-452
-
-
Ziarko, W.1
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