-
2
-
-
0029305476
-
Vagueness and uncertainty: A rough set perspective
-
May
-
Z. Pawlak, "Vagueness and uncertainty: A rough set perspective," Comput. Intell., vol. 11, no. 2, pp. 227-232, May 1995.
-
(1995)
Comput. Intell.
, vol.11
, Issue.2
, pp. 227-232
-
-
Pawlak, Z.1
-
3
-
-
84869381912
-
Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification
-
Jan.
-
J. Dai and Q. Xu, "Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification," Appl. Soft Comput., vol. 13, no. 1, pp. 211-221, Jan. 2013.
-
(2013)
Appl. Soft Comput.
, vol.13
, Issue.1
, pp. 211-221
-
-
Dai, J.1
Xu, Q.2
-
4
-
-
77955091406
-
Selecting discrete and continuous features based on neighborhood decision error minimization
-
Feb.
-
Q. Hu, W. Pedrycz, D. Yu, and J. Lang, "Selecting discrete and continuous features based on neighborhood decision error minimization," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 40, no. 1, pp. 137-150, Feb. 2010.
-
(2010)
IEEE Trans. Syst., Man, Cybern. B, Cybern.
, vol.40
, Issue.1
, pp. 137-150
-
-
Hu, Q.1
Pedrycz, W.2
Yu, D.3
Lang, J.4
-
5
-
-
33947421283
-
Fuzzy-rough sets assisted attribute selection
-
Feb.
-
R. Jensen and Q. Shen, "Fuzzy-rough sets assisted attribute selection," IEEE Trans. Fuzzy Syst., vol. 15, no. 1, pp. 73-89, Feb. 2007.
-
(2007)
IEEE Trans. Fuzzy Syst.
, vol.15
, Issue.1
, pp. 73-89
-
-
Jensen, R.1
Shen, Q.2
-
6
-
-
68849126540
-
New approaches to fuzzy-rough feature selection
-
Aug.
-
R. Jensen and Q. Shen, "New approaches to fuzzy-rough feature selection," IEEE Trans. Fuzzy Syst., vol. 17, no. 4, pp. 824-838, Aug. 2009.
-
(2009)
IEEE Trans. Fuzzy Syst.
, vol.17
, Issue.4
, pp. 824-838
-
-
Jensen, R.1
Shen, Q.2
-
7
-
-
58249084603
-
Exploring the boundary region of tolerance rough sets for feature selection
-
May
-
N. Mac Parthalain and Q. Shen, "Exploring the boundary region of tolerance rough sets for feature selection," Pattern Recognit., vol. 42, no. 5, pp. 655-667, May 2009.
-
(2009)
Pattern Recognit.
, vol.42
, Issue.5
, pp. 655-667
-
-
Mac Parthalain, N.1
Shen, Q.2
-
8
-
-
77952582116
-
Fuzzy-rough sets for information measures and selection of relevant genes frommicroarray data
-
Jun.
-
P. Maji and S. K. Pal, "Fuzzy-rough sets for information measures and selection of relevant genes frommicroarray data," IEEE Trans. Syst.,Man, Cybern. B, Cybern., vol. 40, no. 3, pp. 741-752, Jun. 2010.
-
(2010)
IEEE Trans. Syst.,Man, Cybern. B, Cybern.
, vol.40
, Issue.3
, pp. 741-752
-
-
Maji, P.1
Pal, S.K.2
-
9
-
-
79551682104
-
Fuzzy-rough supervised attribute clustering algorithm and classification of microarray data
-
Feb.
-
P.Maji, "Fuzzy-rough supervised attribute clustering algorithm and classification of microarray data," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 41, no. 1, pp. 222-233, Feb. 2011.
-
(2011)
IEEE Trans. Syst., Man, Cybern. B, Cybern.
, vol.41
, Issue.1
, pp. 222-233
-
-
Maji, P.1
-
10
-
-
1842583457
-
Case generation using rough sets with fuzzy representation
-
Mar.
-
S. K. Pal and P. Mitra, "Case generation using rough sets with fuzzy representation," IEEE Trans. Knowl. Data Eng., vol. 16, no. 3, pp. 293-300, Mar. 2004.
-
(2004)
IEEE Trans. Knowl. Data Eng.
, vol.16
, Issue.3
, pp. 293-300
-
-
Pal, S.K.1
Mitra, P.2
-
11
-
-
2442528339
-
Selecting informative features with fuzzy rough sets and its application for complex systems monitoring
-
Jul.
-
Q. Shen and R. Jensen, "Selecting informative features with fuzzy rough sets and its application for complex systems monitoring," Pattern Recognit., vol. 37, no. 7, pp. 1351-1363, Jul. 2004.
-
(2004)
Pattern Recognit.
, vol.37
, Issue.7
, pp. 1351-1363
-
-
Shen, Q.1
Jensen, R.2
-
12
-
-
56149118708
-
Degrees of conditional (in)dependence: A framework for approximate Bayesian networks and examples related to the rough set based feature selection
-
Jan.
-
D. Slezak, "Degrees of conditional (in)dependence: A framework for approximate Bayesian networks and examples related to the rough set based feature selection," Inf. Sci., vol. 179, no. 3, pp. 197-209, Jan. 2009.
-
(2009)
Inf. Sci.
, vol.179
, Issue.3
, pp. 197-209
-
-
Slezak, D.1
-
13
-
-
54349129618
-
Attributes reduction using fuzzy rough sets
-
Oct.
-
E. C. C. Tsang, D. Chen, D. S. Yeung, X.-Z. Wang, and J. W. T. Lee, "Attributes reduction using fuzzy rough sets," IEEE Trans. Fuzzy Syst., vol. 16, no. 5, pp. 1130-1141, Oct. 2008.
-
(2008)
IEEE Trans. Fuzzy Syst.
, vol.16
, Issue.5
, pp. 1130-1141
-
-
Tsang, E.C.C.1
Chen, D.2
Yeung, D.S.3
Wang, X.-Z.4
Lee, J.W.T.5
-
14
-
-
21144458704
-
An improved accuracy measure for rough sets
-
Aug.
-
B. Xu, Y. Zhou, and H. Lu, "An improved accuracy measure for rough sets," J. Comput. Syst. Sci., vol. 71, no. 2, pp. 163-173, Aug. 2005.
-
(2005)
J. Comput. Syst. Sci.
, vol.71
, Issue.2
, pp. 163-173
-
-
Xu, B.1
Zhou, Y.2
Lu, H.3
-
15
-
-
56949107327
-
A new measure of uncertainty based on knowledge granulation for rough sets
-
Feb.
-
J. Liang, J. Wang, and Y. Qian, "A new measure of uncertainty based on knowledge granulation for rough sets," Inf. Sci., vol. 179, no. 4, pp. 458-470, Feb. 2009.
-
(2009)
Inf. Sci.
, vol.179
, Issue.4
, pp. 458-470
-
-
Liang, J.1
Wang, J.2
Qian, Y.3
-
16
-
-
84859593302
-
Approximations and uncertainty measures in incomplete information systems
-
Sep.
-
J. Dai and Q. Xu, "Approximations and uncertainty measures in incomplete information systems," Inf. Sci., vol. 198, no. 1, pp. 62-80, Sep. 2012.
-
(2012)
Inf. Sci.
, vol.198
, Issue.1
, pp. 62-80
-
-
Dai, J.1
Xu, Q.2
-
17
-
-
84856043672
-
The mathematical theory of communication
-
Jul.-Oct.
-
C. Shannon, "The mathematical theory of communication," Bell Syst. Tech. J., vol. 27, no. 3/4, pp. 379-423, Jul.-Oct. 1948.
-
(1948)
Bell Syst. Tech. J.
, vol.27
, Issue.3-4
, pp. 379-423
-
-
Shannon, C.1
-
18
-
-
0032137218
-
Information-theoretic measures of uncertainty for rough sets and rough relational databases
-
Aug.
-
T. Beaubouef, F. E. Petry, and G. Arora, "Information-theoretic measures of uncertainty for rough sets and rough relational databases," Inf. Sci., vol. 109, no. 1-4, pp. 185-195, Aug. 1998.
-
(1998)
Inf. Sci.
, vol.109
, Issue.1-4
, pp. 185-195
-
-
Beaubouef, T.1
Petry, F.E.2
Arora, G.3
-
19
-
-
77952003645
-
Information entropy and granulation coentropy of partitions and coverings: A summary
-
Berlin, Germany: Springer-Verlag
-
D. Bianucci and G. Cattaneo, "Information entropy and granulation coentropy of partitions and coverings: A summary," in Transactions on Rough Sets. Berlin, Germany: Springer-Verlag, 2009, pp. 15-66.
-
(2009)
Transactions on Rough Sets
, pp. 15-66
-
-
Bianucci, D.1
Cattaneo, G.2
-
20
-
-
37749009467
-
Entropy and co-entropy of partitions and coverings with applications to roughness theory
-
Berlin, Germany: Springer-Verlag
-
G. Cattaneo, D. Ciucci, and D. Bianucci, "Entropy and co-entropy of partitions and coverings with applications to roughness theory," in Studies in Fuzziness and Soft Computing. Berlin, Germany: Springer-Verlag, 2008, pp. 55-77.
-
(2008)
Studies in Fuzziness and Soft Computing
, pp. 55-77
-
-
Cattaneo, G.1
Ciucci, D.2
Bianucci, D.3
-
21
-
-
84855980191
-
Uncertainty measurement for interval-valued decision systems based on extended conditional entropy
-
Mar.
-
J. Dai, W. Wang, Q. Xu, and H. Tian, "Uncertainty measurement for interval-valued decision systems based on extended conditional entropy," Knowl.-Based Syst., vol. 27, pp. 443-450, Mar. 2012.
-
(2012)
Knowl.-Based Syst.
, vol.27
, pp. 443-450
-
-
Dai, J.1
Wang, W.2
Xu, Q.3
Tian, H.4
-
22
-
-
0032205549
-
Uncertainty measures of rough set prediction
-
Nov.
-
I. Düntsch and G. Gediga, "Uncertainty measures of rough set prediction," Artif. Intell., vol. 106, no. 1, pp. 109-137, Nov. 1998.
-
(1998)
Artif. Intell.
, vol.106
, Issue.1
, pp. 109-137
-
-
Düntsch, I.1
Gediga, G.2
-
23
-
-
1842674114
-
A new method for measuring uncertainty and fuzziness in rough set theory
-
Jul.
-
J. Liang, K. S. Chin, C. Dang, and R. C. M. Yam, "A new method for measuring uncertainty and fuzziness in rough set theory," Int. J. Gen. Syst., vol. 31, no. 4, pp. 331-342, Jul. 2002.
-
(2002)
Int. J. Gen. Syst.
, vol.31
, Issue.4
, pp. 331-342
-
-
Liang, J.1
Chin, K.S.2
Dang, C.3
Yam, R.C.M.4
-
24
-
-
44349111128
-
Combination entropy and combination granulation in rough set theory
-
Apr.
-
Y. Qian and J. Liang, "Combination entropy and combination granulation in rough set theory," Int. J. Uncertainty Fuzz. Knowl.-Based Syst., vol. 16, no. 2, pp. 179-193, Apr. 2008.
-
(2008)
Int. J. Uncertainty Fuzz. Knowl.-Based Syst.
, vol.16
, Issue.2
, pp. 179-193
-
-
Qian, Y.1
Liang, J.2
-
25
-
-
79953655725
-
Information granularity in fuzzy binary GrCmodel
-
Apr.
-
Y. Qian, J. Liang, W. Wu, and C. Y. Dang, "Information granularity in fuzzy binary GrCmodel," IEEE Trans. Fuzzy Syst., vol. 19, no. 2, pp. 253-264, Apr. 2011.
-
(2011)
IEEE Trans. Fuzzy Syst.
, vol.19
, Issue.2
, pp. 253-264
-
-
Qian, Y.1
Liang, J.2
Wu, W.3
Dang, C.Y.4
-
26
-
-
0036948613
-
Approximate entropy reducts
-
May
-
D. Slezak, "Approximate entropy reducts," Fundam. Inf., vol. 53, no. 3/4, pp. 365-390, May 2002.
-
(2002)
Fundam. Inf.
, vol.53
, Issue.3-4
, pp. 365-390
-
-
Slezak, D.1
-
27
-
-
0033337745
-
Measuring uncertainty in rough set theory
-
Oct.
-
M. J. Wierman, "Measuring uncertainty in rough set theory," Int. J. Gen. Syst., vol. 28, no. 4/5, pp. 283-297, Oct. 1999.
-
(1999)
Int. J. Gen. Syst.
, vol.28
, Issue.4-5
, pp. 283-297
-
-
Wierman, M.J.1
-
28
-
-
0242289559
-
Probabilistic approaches to rough sets
-
Nov.
-
Y. Y. Yao, "Probabilistic approaches to rough sets," Expert Syst., vol. 20, no. 5, pp. 287-297, Nov. 2003.
-
(2003)
Expert Syst.
, vol.20
, Issue.5
, pp. 287-297
-
-
Yao, Y.Y.1
-
29
-
-
84863728181
-
A measurement theory view on the granularity of partitions
-
Dec.
-
Y. Y. Yao and L. Zhao, "A measurement theory view on the granularity of partitions," Inf. Sci., vol. 213, pp. 1-13, Dec. 2012.
-
(2012)
Inf. Sci.
, vol.213
, pp. 1-13
-
-
Yao, Y.Y.1
Zhao, L.2
-
30
-
-
34047267165
-
Uncertainty measures for fuzzy relations and their applications
-
Jun.
-
D. Yu, Q. Hu, and C. Wu, "Uncertainty measures for fuzzy relations and their applications," Appl. Soft Comput., vol. 7, no. 3, pp. 1135-1143, Jun. 2007.
-
(2007)
Appl. Soft Comput.
, vol.7
, Issue.3
, pp. 1135-1143
-
-
Yu, D.1
Hu, Q.2
Wu, C.3
-
31
-
-
0032294902
-
Rough set approach to incomplete information systems
-
Dec.
-
M. Kryszkiewicz, "Rough set approach to incomplete information systems," Inf. Sci., vol. 112, no. 1-4, pp. 39-49, Dec. 1998.
-
(1998)
Inf. Sci.
, vol.112
, Issue.1-4
, pp. 39-49
-
-
Kryszkiewicz, M.1
-
32
-
-
0033079944
-
Rules in incomplete information systems
-
Feb.
-
M. Kryszkiewicz, "Rules in incomplete information systems," Inf. Sci., vol. 113, no. 3/4, pp. 271-292, Feb. 1999.
-
(1999)
Inf. Sci.
, vol.113
, Issue.3-4
, pp. 271-292
-
-
Kryszkiewicz, M.1
-
33
-
-
79956225412
-
A comparative study on strategies of rule induction for incomplete data based on rough set approach
-
Apr.
-
J. Dai, Q. Xu, and W. Wang, "A comparative study on strategies of rule induction for incomplete data based on rough set approach," Int. J. Adv. Comput. Technol., vol. 3, no. 3, pp. 176-183, Apr. 2011.
-
(2011)
Int. J. Adv. Comput. Technol.
, vol.3
, Issue.3
, pp. 176-183
-
-
Dai, J.1
Xu, Q.2
Wang, W.3
-
34
-
-
34249966007
-
The CN2 induction algorithm
-
Mar.
-
P. Clark and T. Niblett, "The CN2 induction algorithm," Mach. Learn., vol. 3, no. 4, pp. 261-283, Mar. 1989.
-
(1989)
Mach. Learn.
, vol.3
, Issue.4
, pp. 261-283
-
-
Clark, P.1
Niblett, T.2
-
35
-
-
80051947439
-
On the unknown attribute values in learning from examples
-
Methodologies for Intelligent Systems. London, U.K.: Springer-Verlag, ser.
-
J. W. Grzymala-Busse, "On the unknown attribute values in learning from examples," in Methodologies for Intelligent Systems. London, U.K.: Springer-Verlag, 1991, ser. Lecture Notes in Computer Science, pp. 368-377.
-
(1991)
Lecture Notes in Computer Science
, pp. 368-377
-
-
Grzymala-Busse, J.W.1
-
36
-
-
78049305676
-
Rough set strategies to data with missing attribute values
-
Foundations and Novel Approaches in Data Mining. Berlin, Germany: Springer-Verlag, ser.
-
J.W. Grzymala-Busse, "Rough set strategies to data with missing attribute values," in Foundations and Novel Approaches in Data Mining. Berlin, Germany: Springer-Verlag, 2006, ser. Studies in Computational Intelligence, pp. 197-212.
-
(2006)
Studies in Computational Intelligence
, pp. 197-212
-
-
Grzymala-Busse, J.W.1
-
37
-
-
33750915055
-
Information entropy, rough entropy and knowledge granulation in incomplete information systems
-
Dec.
-
J. Liang, Z. Shi, D. Li, and M. J. Wierman, "Information entropy, rough entropy and knowledge granulation in incomplete information systems," Int. J. Gen. Syst., vol. 35, no. 6, pp. 641-654, Dec. 2006.
-
(2006)
Int. J. Gen. Syst.
, vol.35
, Issue.6
, pp. 641-654
-
-
Liang, J.1
Shi, Z.2
Li, D.3
Wierman, M.J.4
-
38
-
-
71749121456
-
A new method for measuring the uncertainty in incomplete information systems
-
Dec.
-
Y. Qian, J. Liang, and F. Wang, "A new method for measuring the uncertainty in incomplete information systems," Int. J. Uncertainty Fuzz. Knowl.-Based Syst., vol. 17, no. 6, pp. 855-880, Dec. 2009.
-
(2009)
Int. J. Uncertainty Fuzz. Knowl.-Based Syst.
, vol.17
, Issue.6
, pp. 855-880
-
-
Qian, Y.1
Liang, J.2
Wang, F.3
-
39
-
-
84864063529
-
Conditional entropy for incomplete decision systems and its application in data mining
-
Oct.
-
J. Dai, Q. Xu,W.Wang, and H. Tian, "Conditional entropy for incomplete decision systems and its application in data mining," Int. J. Gen. Syst., vol. 41, no. 7, pp. 713-728, Oct. 2012.
-
(2012)
Int. J. Gen. Syst.
, vol.41
, Issue.7
, pp. 713-728
-
-
Dai, J.1
Xu, Q.2
Wang, W.3
Tian, H.4
-
40
-
-
33749680310
-
Rudiments of rough sets
-
Jan.
-
Z. Pawlak and A. Skowron, "Rudiments of rough sets," Inf. Sci., vol. 177, no. 1, pp. 3-27, Jan. 2007.
-
(2007)
Inf. Sci.
, vol.177
, Issue.1
, pp. 3-27
-
-
Pawlak, Z.1
Skowron, A.2
-
42
-
-
0002593344
-
Multi-interval discretization of continuous valued attributes for classification learning
-
U. Fayyad and K. Irani, "Multi-interval discretization of continuous valued attributes for classification learning," in Proc. Int. Joint Conf. Uncertainty AI, 1993, pp. 1022-1027.
-
Proc. Int. Joint Conf. Uncertainty AI, 1993
, pp. 1022-1027
-
-
Fayyad, U.1
Irani, K.2
-
44
-
-
0042656300
-
Dynamic reducts as a tool for extracting laws from decisions tables
-
London, U.K.: Springer-Verlag
-
J. G. Bazan, A. Skowron, and P. Synak, "Dynamic reducts as a tool for extracting laws from decisions tables," in Methodologies for Intelligent Systems. London, U.K.: Springer-Verlag, 1994, pp. 346-355.
-
(1994)
Methodologies for Intelligent Systems
, pp. 346-355
-
-
Bazan, J.G.1
Skowron, A.2
Synak, P.3
-
45
-
-
84890417888
-
Experiments in automatic learning of medical diagnostic rules
-
presented at the
-
I. Kononenko, I. Bratko, and E. Roskar, "Experiments in automatic learning of medical diagnostic rules," presented at the Proc. Int. School Synth. Experts Knowl. Workshop, Bled, Slovenia, 1984, ISSEK-84.
-
Proc. Int. School Synth. Experts Knowl. Workshop, Bled, Slovenia, 1984, ISSEK-84
-
-
Kononenko, I.1
Bratko, I.2
Roskar, E.3
|