-
1
-
-
33144462955
-
35 years of studies on business failure an overview
-
S. Balcaen, and H. Ooghe 35 years of studies on business failure an overview The British Accounting Review 38 2006 63 93
-
(2006)
The British Accounting Review
, vol.38
, pp. 63-93
-
-
Balcaen, S.1
Ooghe, H.2
-
3
-
-
0029756565
-
Information combination operators for data fusion: A comparative review with classification
-
PII S1083442796000598
-
I. Bloch Information combination operators for data fusion: A comparative review with classification IEEE Transactions on Systems, Man and Cybernetics Part A: Systems and Humans 26 1 1996 52 67 (Pubitemid 126784519)
-
(1996)
IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.
, vol.26
, Issue.1
, pp. 52-67
-
-
Bloch, I.1
-
5
-
-
0008643548
-
Comparative probability for conditional events: A new look through coherence
-
G. Coletti, A. Gilio, and R. Scozzafava Comparative probability for conditional events: A new look through coherence Theory and Decision 35 3 1993 237 258
-
(1993)
Theory and Decision
, vol.35
, Issue.3
, pp. 237-258
-
-
Coletti, G.1
Gilio, A.2
Scozzafava, R.3
-
7
-
-
0000010595
-
Conditioning and inference in intelligent systems
-
G. Coletti, and R. Scozzafava Conditioning and inference in intelligent systems Soft Computing 3 1999 118 130
-
(1999)
Soft Computing
, vol.3
, pp. 118-130
-
-
Coletti, G.1
Scozzafava, R.2
-
9
-
-
1842863973
-
Conditional probability, fuzzy sets, and possibility: A unifying view
-
G. Coletti, and R. Scozzafava Conditional probability, fuzzy sets, and possibility: A unifying view Fuzzy Sets and Systems 144 2004 227 249
-
(2004)
Fuzzy Sets and Systems
, vol.144
, pp. 227-249
-
-
Coletti, G.1
Scozzafava, R.2
-
10
-
-
33750365014
-
Conditional probability and fuzzy information
-
DOI 10.1016/j.csda.2006.04.028, PII S0167947306001289
-
G. Coletti, and R. Scozzafava Conditional probability and fuzzy information Computational Statistics and Data Analysis 51 1 2006 115 132 (Pubitemid 44634805)
-
(2006)
Computational Statistics and Data Analysis
, vol.51
, Issue.1
, pp. 115-132
-
-
Coletti, G.1
Scozzafava, R.2
-
11
-
-
33646431464
-
Representability of ordinal relations on a set of conditional events
-
G. Coletti, and B. Vantaggi Representability of ordinal relations on a set of conditional events Theory and Decision 60 2006 137 174
-
(2006)
Theory and Decision
, vol.60
, pp. 137-174
-
-
Coletti, G.1
Vantaggi, B.2
-
12
-
-
0001780575
-
Sull'impostazione assiomatica del calcolo delle probabilit
-
Engl. transl. in: (Chapter 5) of Probability, Induction, Statistics, Wiley, London, 1972
-
B. de Finetti Sull'impostazione assiomatica del calcolo delle probabilit Annali Triestini dell'Universit di Trieste 19 1949 3 55 Engl. transl. in: (Chapter 5) of Probability, Induction, Statistics, Wiley, London, 1972
-
(1949)
Annali Triestini dell'Universit di Trieste
, vol.19
, pp. 3-55
-
-
De Finetti, B.1
-
13
-
-
0004134067
-
-
Wiley New York A.F.M. Smith and A. Machi (trs.)
-
B. de Finetti Theory of Probability vol. 2 1974-1975 Wiley New York A.F.M. Smith and A. Machi (trs.)
-
(1974)
Theory of Probability
, vol.2
-
-
De Finetti, B.1
-
14
-
-
38049113254
-
Statistical model for rough set approach to multicriteria classification
-
J.N. Kok, J. Koronacki, R.L. de Mantaras, S. Matwin, D. Mladenic, A. Skowron, Lecture Notes in Computer Science
-
K. Dembczynski, S. Greco, W. Kotlowski, and R. Sowinski Statistical model for rough set approach to multicriteria classification J.N. Kok, J. Koronacki, R.L. de Mantaras, S. Matwin, D. Mladenic, A. Skowron, Knowledge Discovery in Databases: PKDD 2007, Warsaw, Poland Lecture Notes in Computer Science vol. 4702 2007 164 175
-
(2007)
Knowledge Discovery in Databases: PKDD 2007, Warsaw, Poland
, vol.4702
, pp. 164-175
-
-
Dembczynski, K.1
Greco, S.2
Kotlowski, W.3
Sowinski, R.4
-
15
-
-
0005233654
-
Finite forms of de Finetti's theorem on exchangeability
-
P. Diaconis Finite forms of de Finetti's theorem on exchangeability Synthese 36 1977 271 281
-
(1977)
Synthese
, vol.36
, pp. 271-281
-
-
Diaconis, P.1
-
17
-
-
0002136849
-
Finitely additive conditional probabilities, conglomerability and disintegration
-
L.E. Dubins Finitely additive conditional probabilities, conglomerability and disintegration The Annals of Probability 3 1975 89 99
-
(1975)
The Annals of Probability
, vol.3
, pp. 89-99
-
-
Dubins, L.E.1
-
18
-
-
0022101320
-
A review of fuzzy set aggregation connectives
-
D. Dubois, and H. Prade A review of fuzzy set aggregation connectives Information Sciences 36 1985 85 121 (Pubitemid 15604334)
-
(1985)
Information sciences
, vol.36
, Issue.1-2
, pp. 85-121
-
-
Dubois, D.1
Prade, H.2
-
20
-
-
27844542783
-
A new proposal for rough fuzzy approximations and decision rule representation
-
D. Dubois, J. Grzymala-Busse, M. Inuiguchi, L. Polkowski, LNCS Springer-Verlag Berlin
-
S. Greco, M. Inuiguchi, and R. Sowinski A new proposal for rough fuzzy approximations and decision rule representation D. Dubois, J. Grzymala-Busse, M. Inuiguchi, L. Polkowski, Transaction on Rough Sets II: Rough Sets and Fuzzy Sets LNCS vol. 3135 2004 Springer-Verlag Berlin 156 164
-
(2004)
Transaction on Rough Sets II: Rough Sets and Fuzzy Sets
, vol.3135
, pp. 156-164
-
-
Greco, S.1
Inuiguchi, M.2
Sowinski, R.3
-
24
-
-
0001916903
-
The use of rough sets and fuzzy sets in MCDM
-
T. Gal, T. Stewart, T. Hanne, Kluwer Academic Publishers Boston (Chapter 14)
-
S. Greco, B. Matarazzo, and R. Sowinski The use of rough sets and fuzzy sets in MCDM T. Gal, T. Stewart, T. Hanne, Advances in Multiple Criteria Decision Making 1999 Kluwer Academic Publishers Boston 14.1 14.59 (Chapter 14)
-
(1999)
Advances in Multiple Criteria Decision Making
, pp. 141-1459
-
-
Greco, S.1
Matarazzo, B.2
Sowinski, R.3
-
25
-
-
33645970727
-
Rough membership and Bayesian confirmation measures for parameterized rough sets
-
LNAI
-
S. Greco, B. Matarazzo, and R. Sowinski Rough membership and Bayesian confirmation measures for parameterized rough sets Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, Proceedings of RSFDGrC-05 LNAI vol. 3641 2005 314 324
-
(2005)
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, Proceedings of RSFDGrC-05
, vol.3641
, pp. 314-324
-
-
Greco, S.1
Matarazzo, B.2
Sowinski, R.3
-
26
-
-
38049046934
-
Dominance-based rough set approach as a proper way of handling graduality in rough set theory
-
Victor W. Marek, Ewa Orowska, Roman Sowinski, Wojciech Ziarko, Lecture Notes in Computer Science Springer-Verlag Berlin, Heidelberg
-
S. Greco, B. Matarazzo, and R. Sowinski Dominance-based rough set approach as a proper way of handling graduality in rough set theory Transactions on Rough Sets VII Victor W. Marek, Ewa Orowska, Roman Sowinski, Wojciech Ziarko, Lecture Notes in Computer Science vol. 4400 2007 Springer-Verlag Berlin, Heidelberg 36 52
-
(2007)
Transactions on Rough Sets VII
, vol.4400
, pp. 36-52
-
-
Greco, S.1
Matarazzo, B.2
Sowinski, R.3
-
27
-
-
52949127977
-
Parameterized rough set model using rough membership and Bayesian confirmation measures
-
S. Greco, B. Matarazzo, and R. Sowinski Parameterized rough set model using rough membership and Bayesian confirmation measures International Journal of Approximate Reasoning 49 2 2008 285 300
-
(2008)
International Journal of Approximate Reasoning
, vol.49
, Issue.2
, pp. 285-300
-
-
Greco, S.1
Matarazzo, B.2
Sowinski, R.3
-
28
-
-
84957810272
-
Variable consistency model of dominance-based rough sets approach
-
LNAI
-
S. Greco, B. Matarazzo, R. Sowinski, and J. Stefanowski Variable consistency model of dominance-based rough sets approach RSCTC 2000 LNAI vol. 2005 2001 170 181
-
(2001)
RSCTC 2000
, vol.2005
, pp. 170-181
-
-
Greco, S.1
Matarazzo, B.2
Sowinski, R.3
Stefanowski, J.4
-
29
-
-
84891509976
-
De Finetti's theorem on exchangeable variables
-
D. Heath, and W. Sudderth de Finetti's theorem on exchangeable variables The American Statistician 30 4 1976 188 189
-
(1976)
The American Statistician
, vol.30
, Issue.4
, pp. 188-189
-
-
Heath, D.1
Sudderth, W.2
-
30
-
-
84856762579
-
-
IDSS: Laboratory of Intelligent Decision Support Systems of the Poznan University of Technology
-
IDSS: Laboratory of Intelligent Decision Support Systems of the Poznan University of Technology. JAMM Software, 2009. http://idss.cs.put.poznan.pl/ site/jamm.html.
-
(2009)
JAMM Software
-
-
-
32
-
-
49849088318
-
Stochastic dominance-based rough set model for ordinal classification
-
W. Kotlowski, K. Dembczynski, S. Greco, and R. Sowinski Stochastic dominance-based rough set model for ordinal classification Information Science 178 21 2008 4019 4037
-
(2008)
Information Science
, vol.178
, Issue.21
, pp. 4019-4037
-
-
Kotlowski, W.1
Dembczynski, K.2
Greco, S.3
Sowinski, R.4
-
33
-
-
34250530429
-
Representation of conditional probability measures on Boolean algebras
-
P.H. Krauss Representation of conditional probability measures on Boolean algebras Acta Mathematica Academiæ Scientiarum Hungaricæ 19 1968 229 241
-
(1968)
Acta Mathematica Academiæ Scientiarum Hungaric
, vol.19
, pp. 229-241
-
-
Krauss, P.H.1
-
35
-
-
56349098832
-
Developing a business failure prediction model via RST, GRA and CBR
-
Rong-Ho Lin, Yao-Tien Wang, Chih-Hung Wu, and Chun-Ling Chuang Developing a business failure prediction model via RST, GRA and CBR Expert Systems with Applications 36 2009 1593 1600
-
(2009)
Expert Systems with Applications
, vol.36
, pp. 1593-1600
-
-
Lin, R.-H.1
Wang, Y.-T.2
Wu, C.-H.3
Chuang, C.-L.4
-
36
-
-
77955276029
-
Optimization heuristics for determining internal rating grading scales
-
M. Lyra, J. Paha, S. Paterlini, and P. Winker Optimization heuristics for determining internal rating grading scales Computational Statistics and Data Analysis 54 11 2010 2693 2706
-
(2010)
Computational Statistics and Data Analysis
, vol.54
, Issue.11
, pp. 2693-2706
-
-
Lyra, M.1
Paha, J.2
Paterlini, S.3
Winker, P.4
-
38
-
-
0002970340
-
Rough membership functions
-
R.R. Yager, M. Fedrizzi, J. Kacprzyk, John Wiley and Sons New York
-
Z. Pawlak, and A. Skowron Rough membership functions R.R. Yager, M. Fedrizzi, J. Kacprzyk, Advances in the DempsterShafer Theory of Evidence 1994 John Wiley and Sons New York 251 271
-
(1994)
Advances in the DempsterShafer Theory of Evidence
, pp. 251-271
-
-
Pawlak, Z.1
Skowron, A.2
-
44
-
-
0043216635
-
Prediction of company acquisition in Greece by means of the rough set approach
-
PII S0377221796001105
-
R. Sowinski, C. Zopounidis, and A.I. Dimitras Prediction of company acquisition in Greece by means of the rough set approach European Journal of Operational Research 100 1997 1 15 (Pubitemid 127414906)
-
(1997)
European Journal of Operational Research
, vol.100
, Issue.1
, pp. 1-15
-
-
Slowinski, R.1
Zopounidis, C.2
Dimitras, A.I.3
-
46
-
-
33846866525
-
Comparison of confirmation measures
-
DOI 10.1016/j.cognition.2005.09.006, PII S0010027706000631
-
K. Tentori, V. Crupi, N. Bonini, and D. Osherson Comparison of confirmation measures Cognition 103 1 2007 107 119 (Pubitemid 46223557)
-
(2007)
Cognition
, vol.103
, Issue.1
, pp. 107-119
-
-
Tentori, K.1
Crupi, V.2
Bonini, N.3
Osherson, D.4
-
47
-
-
55649097518
-
Statistical matching of multiple sources: A look through coherence
-
B. Vantaggi Statistical matching of multiple sources: A look through coherence International Journal of Approximate Reasoning 49 3 2008 701 711
-
(2008)
International Journal of Approximate Reasoning
, vol.49
, Issue.3
, pp. 701-711
-
-
Vantaggi, B.1
-
48
-
-
0011157035
-
Comparison of the probabilistic approximate classification and the fuzzy set model
-
S.K.M. Wong, and W. Ziarko Comparison of the probabilistic approximate classification and the fuzzy set model Fuzzy Sets and Systems 21 1987 357 362
-
(1987)
Fuzzy Sets and Systems
, vol.21
, pp. 357-362
-
-
Wong, S.K.M.1
Ziarko, W.2
-
51
-
-
0242322855
-
A decision-theoretic rough set model
-
Z.W. Ras, M. Zemankova, M.L. Emrich, North-Holland New York
-
Y.Y. Yao, S.K.M. Wong, and P. Lingras A decision-theoretic rough set model Z.W. Ras, M. Zemankova, M.L. Emrich, Methodologies for Intelligent Systems vol. 5 1990 North-Holland New York 17 24
-
(1990)
Methodologies for Intelligent Systems
, vol.5
, pp. 17-24
-
-
Yao, Y.Y.1
Wong, S.K.M.2
Lingras, P.3
-
52
-
-
0028922775
-
Combining rough sets learning- and neural learning-method to deal with uncertain and imprecise information
-
DOI 10.1016/0925-2312(93)E0046-G
-
R. Yasdi Combining rough sets learningand neural learning-method to deal with uncertain and imprecise information Neurocomputing 7 1995 61 84 (Pubitemid 24372881)
-
(1995)
Neurocomputing
, vol.7
, Issue.1
, pp. 61-84
-
-
Yasdi, R.1
-
53
-
-
0027543613
-
Variable precision rough set model
-
DOI 10.1016/0022-0000(93)90048-2
-
W. Ziarko Variable precision rough sets model Journal of Computer and Systems Sciences 46 1 1993 39 59 (Pubitemid 23639120)
-
(1993)
Journal of Computer and System Sciences
, vol.46
, Issue.1
, pp. 39-59
-
-
Ziarko Wojciech1
-
54
-
-
33646001119
-
Probabilistic rough sets
-
LNAI
-
W. Ziarko Probabilistic rough sets Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, Proceedings of RSFDGrC-05 LNAI vol. 3641 2005 283 293
-
(2005)
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, Proceedings of RSFDGrC-05
, vol.3641
, pp. 283-293
-
-
Ziarko, W.1
|