Preference disaggregation and statistical learning for multicriteria decision support: A review

European Journal of Operational Research

Volumn 209, Issue 3, 2011, Pages 203-214

  Doumpos, Michael ^a   Zopounidis, Constantin ^a  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

Data mining; Disaggregation analysis; Multiple criteria analysis; Preference learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS;

DISAGGREGATION; DOMAIN KNOWLEDGE; MULTI-CRITERIA DECISION AIDING; MULTICRITERIA DECISION SUPPORT; MULTIPLE CRITERIA ANALYSIS; PREFERENCE LEARNING; RECENT RESEARCHES; STATISTICAL LEARNING;

DATA MINING;

EID: 78649634832     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2010.05.029     Document Type: Article

References (175)

1. H. Abbass Speeding up backpropagation using multiobjective evolutionary algorithms Neural Computation 15 11 2003 2705 2726
2. A. Abdelbar, S. Attia, and G. Tagliarini A hybridization of Bayesian and neural learning Neurocomputing 48 2002 443 453
3. Y. Abu-Mostafa Learning from hints in neural networks Journal of Complexity 6 2 1990 192 198
4. Y. Abu-Mostafa Machines that learn from hints Scientific American 272 4 1995 64 69
5. R. Agrawal, T. Imieliński, and A. Swami Mining association rules between sets of items in large databases P. Buneman, S. Jajodia, Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data 1993 ACM New York, NY 207 216
6. S. Angilella, S. Greco, F. Lamantia, and B. Matarazzo Assessing non-additive utility for multicriteria decision aid European Journal of Operational Research 158 3 2004 734 744
7. S. Angilella, S. Greco, and B. Matarazzo Non-additive robust ordinal regression: A multiple criteria decision model based on the Choquet integral European Journal of Operational Research 201 1 2010 277 288
8. O. Araz A simulation based multi-criteria scheduling approach of dual-resource constrained manufacturing systems with neural networks Lecture Notes in Computer Science 3809 2005 1047 1052
9. N. Archer, and S. Wang Application of the back propagation neural network algorithm with monotonicity constraints for two-group classification problems Decision Sciences 24 1 1993 60 75
10. B. Baesens, R. Setiono, C. Mues, and J. Vanthienen Using neural network rule extraction and decision tables for credit-risk evaluation Management Science 49 3 2003 312 329
11. C. Bana e Costa, and J.-C. Vansnick A critical analysis of the eigenvalue method used to derive priorities in AHP European Journal of Operational Research 187 3 2008 1422 1428
12. J. Bates, and C. Granger The combination of forecasts Operational Research Quarterly 20 4 1969 451 468
13. M. Behzadian, R.B. Kazemzadeh, A. Albadvi, and M. Aghdasi PROMETHEE: A comprehensive literature review on methodologies and applications European Journal of Operational Research 200 1 2010 198 215
14. N. Belacel, H. Bhasker Raval, and A. Punnenc Learning multicriteria fuzzy classification method PROAFTN from data Computers and Operations Research 34 2007 1885 1898
15. A. Ben-David, L. Sterling, and Y.-H. Pao Learning and classification of monotonic ordinal concepts Computational Intelligence 5 1989 45 49
16. M. Beuthe, and G. Scannella Comparative analysis of UTA multicriteria methods European Journal of Operational Research 130 2001 246 262
17. J.-P. Brans, and B. Mareschal PROMETHEE methods J. Figueira, S. Greco, M. Ehrgott, Multiple Criteria Decision Analysis-State of the Art Surveys 2005 Springer Boston 163 195
18. L. Breiman Bagging predictors Machine Learning 24 2 1996 123 140
19. L. Breiman Random forests Machine Learning 45 2001 5 32
20. L. Breiman Statistical modeling: The two cultures Statistical Science 16 3 2001 199 231
21. L. Breiman, J. Friedman, R. Olsen, and C. Stone Classification and Regression Trees 1984 Wadsworth Pacific Grove, CA
22. V. Bugera, H. Konno, and S. Uryasev Credit cards scoring with quadratic utility function Journal of Multi-Criteria Decision Analysis 11 2002 197 211
23. C. Campbell Kernel methods: A survey of current techniques Neurocomputing 48 2002 63 84
24. M.-C. Chen Ranking discovered rules from data mining with multiple criteria by data envelopment analysis Expert Systems with Applications 33 2007 1110 1116
25. J. Chen, and S. Lin An interactive neural network-based approach for solving multiple criteria decision-making problems Decision Support Systems 36 2003 137 146
26. Y. Chen, K. Hipel, and M. Kilgour Multiple-criteria sorting using case-based distance models with an application in water resources management IEEE Transactions on Systems, Man, and Cybernetics - Part A 37 5 2007 680 691
27. Y. Chen, M. Kilgour, and K. Hipel A case-based distance method for screening in multiple-criteria decision aid Omega 36 3 2008 373 383
28. D. Choi, B. Ahn, and S. Kim Prioritization of association rules in data mining: Multiple criteria decision approach Expert Systems with Applications 29 4 2005 876878
29. P. Das In search of best alternatives: a TOPSIS driven MCDM procedure for neural network modeling Neural Computing and Applications 19 1 2010 91 102
30. K. Dembczynski, W. Kotlowski, and R. Slowinski Additive preference model with piecewise linear components resulting from dominance-based rough set approximations Lecture Notes in Computer Science 4029 2006 499 508
31. J. Dembczynski, W. Kotlowski, and R. Slowinski Ensemble of decision rules for ordinal classification with monotonicity constraints Lecture Notes in Computer Science 5009 2008 260 267
32. L. Dias, and V. Mousseau Inferring Electre's veto-related parameters from outranking examples European Journal of Operational Research 170 1 2006 172 191
33. L. Dias, V. Mousseau, J. Figueira, and J. Clímaco An aggregation/disaggregation approach to obtain robust conclusions with ELECTRE TRI European Journal of Operational Research 138 2 2002 332 348
34. T. Dietterich Ensemble methods in machine learning Lecture Notes in Computer Science 1857 2000 1 15
35. J. Dombi, and A. Zsiros Learning multicriteria classification models from examples: Decision rules in continuous space European Journal of Operational Research 160 2005 663 675
36. M. Doumpos, and C. Zopounidis Multicriteria Decision Aid Classification Methods 2002 Springer New York
37. M. Doumpos, and C. Zopounidis On the development of an outranking relation for ordinal classification problems: An experimental investigation of a new methodology Optimization Methods and Software 17 2 2002 293 317
38. M. Doumpos, and C. Zopounidis A multicriteria classification approach based on pairwise comparisons European Journal of Operational Research 158 2004 378 389
39. M. Doumpos, and C. Zopounidis Regularized estimation for preference disaggregation in multiple criteria decision making Compututational Optimization and Applications 38 2007 61 80
40. M. Doumpos, Y. Marinakis, M. Marinaki, and C. Zopounidis An evolutionary approach to construction of outranking models for multicriteria classification: The case of the ELECTRE TRI method European Journal of Operational Research 199 2 2009 496 505
41. R. Everson, and J. Fieldsend Multi-class roc analysis from a multi-objective optimisation perspective Pattern Recognition Letters 27 2006 918 927
42. T. Evgeniou, C. Boussios, and G. Zacharia Generalized robust conjoint estimation Marketing Science 24 3 2005 415 429
43. E. Fernandez, J. Navarroa, and S. Bernal Multicriteria sorting using a valued indifference relation under a preference disaggregation paradigm European Journal of Operational Research 198 2 2009 602 609
44. J. Figueira, S. Greco, and R. Slowinski Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method European Journal of Operational Research 195 2 2009 460 486
45. P. Fortemps, S. Greco, and R. Slowinski Multicriteria decision support using rules that represent rough-graded preference relations European Journal of Operational Research 188 2008 206 223
46. Y. Freund Boosting a weak learning algorithm by majority Information and Computation 121 2 1995 256 285
47. Y. Freund, R. Iyer, R. Schapire, and Y. Singer An efficient boosting algorithm for combining preferences Journal of Machine Learning Research 4 2003 933 969
48. N. Friedman, D. Geiger, and M. Goldszmidt Bayesian network classifiers Machine Learning 29 1997 131 163
49. J. Gama, and P. Brazdil Cascade generalization Machine Learning 41 2000 315 343
50. J. Gao, P. Kwan, and D. Shi Sparse kernel learning with LASSO and Bayesian inference algorithm Neural Networks 23 2 2010 257 264
51. J. García-Nieto, E. Alba, L. Jourdan, and E. Talbi Sensitivity and specificity based multiobjective approach for feature selection: Application to cancer diagnosis Information Processing Letters 109 16 2009 887 896
52. N. García-Pedrajas, and D. Ortiz-Boyer A cooperative constructive method for neural networks for pattern recognition Pattern Recognition 40 2007 8098
53. M. Gholamian, S. Fatemi Ghomi, and M. Ghazanfari A hybrid intelligent system for multiobjective decision making problems Computers and Industrial Engineering 51 2006 26 43 (Pubitemid 44466263)
54. Y. Goletsis, C. Papaloukas, D. Fotiadis, A. Likas, and L. Michalis Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis IEEE Transactions on Biomedical Engineering 51 10 2004 1717 1725
55. J. Gonzalez-Pachon, and C. Romero A method for dealing with inconsistencies in pairwise comparisons European Journal of Operational Research 158 2 2004 351 361
56. M. Grabisch, I. Kojadinovic, and P. Meyer A review of methods for capacity identification in Choquet integral based multi-attribute utility theory: Applications of the Kappalab R package European Journal of Operational Research 186 2 2008 766 785
57. S. Greco, B. Matarazzo, and R. Slowinski Rough approximation of a preference relation by dominance relations European Journal of Operational Research 117 1999 63 83
58. S. Greco, B. Matarazzo, and R. Slowinski Rough sets theory for multicriteria decision analysis European Journal of Operational Research 129 2001 1 47
59. S. Greco, B. Matarazzo, and R. Slowinski Rough sets methodology for sorting problems in presence of multiple attributes and criteria European Journal of Operational Research 138 2002 247 259
60. S. Greco, B. Matarazzo, and R. Slowinski Axiomatic characterization of a general utility function and its particular cases in terms of conjoint measurement and rough-set decision rules European Journal of Operational Research 158 2 2004 271 292
61. Greco, S., Matarazzo, B., Slowinski, R., 2007a. Dominance-based rough set approach as a proper way of handling graduality in rough set theory. Transactions on Rough Sets VII, Lecture Notes in Computer Science 4400. Springer, Berlin, pp. 36-52.
62. S. Greco, R. Slowinski, and Y. Yao Bayesian decision theory for dominance-based rough set approach J. Yao, P. Lingras, W.-Z. Wu, M. Szczuka, N. Cercone, S. Ślȩzak, Rough Sets and Knowledge Technology, Lecture Notes in Artificial Interlligence 4481 2007 Springer Berlin 134 141 (Pubitemid 350270204)
63. S. Greco, V. Mousseau, and R. Slowinski Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions European Journal of Operational Research 191 2 2008 415 435
64. M. Guijarro, and G. Pajares On combining classifiers through a fuzzy multicriteria decision making approach: Applied to natural textured images Expert Systems with Applications 36 2009 7262 7269
65. A. Guillén, H. Pomares, J. González, I. Rojas, O. Valenzuela, and B. Prieto Parallel multiobjective memetic rbfnns design and feature selection for function approximation problems Neurocomputing 72 16-18 2009 3541 3555
66. P. Hammer, A. Kogan, B. Simeone, and S. Szedmák Pareto-optimal patterns in logical analysis of data Discrete Applied Mathematics 144 2004 79 102
67. D. Hand, H. Mannila, and P. Smyth Principles of Data Mining 2001 MIT Press Cambridge
68. T. Hastie, R. Tibshirani, and J. Friedman The Elements of Statistical Learning: Data Mining, Inference, and Prediction 2001 Prentice Hall New York
69. S. Haykin Neural Networks: A Comprehensive Foundation second ed. 1999 Prentice Hall Singapore
70. R. Herbrich, T. Graepel, and K. Obermayer Large margin rank boundaries for ordinal regression A. Smola, P. Bartlett, B. Schölkopf, D. Schuurmans, Advances in Large Margin Classifiers 2000 MIT Press Cambridge, MA 115 132
71. T. Hofmann, B. Schölkopf, and A. Smola Kernel methods in machine learning The Annals of Statistics 36 3 2008 1171 1220
72. D. Horsky, and M. Rao Estimation of attribute weights from preference comparisons Management Science 30 7 1984 801 822
73. A. Howard, and T. Jebara Learning monotonic transformations for classification J. Platt, D. Koller, Y. Singer, S. Roweis, Advances in Neural Information Processing Systems vol. 20 2008 MIT Press Cambridge, MA 681 688
74. Y.-C. Hu Bankruptcy prediction using ELECTRE-based single-layer perceptron Neurocomputing 72 2009 3150 3157
75. B. Huang, B. Buckley, and T.-M. Kechadi Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications Expert Systems with Applications 37 5 2010 3638 3646
76. E. Hüllermeier, and K. Brinker Learning valued preference structures for solving classification problems Fuzzy Sets and Systems 159 18 2008 2337 2352
77. E. Hüllermeier, and S. Vanderlooy Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting Pattern Recognition 43 1 2010 128 142
78. E. Jacquet-Lagrze, and Y. Siskos Assessing a set of additive utility functions for multicriteria decision making: The UTA method European Journal of Operational Research 10 1982 151 164
79. E. Jacquet-Lagrze, and Y. Siskos Preference disaggregation: 20 years of MCDA experience European Journal of Operational Research 130 2001 233 245
80. T. Jiao, J. Peng, and T. Terlaky A confidence voting process for ranking problems based on support vector machines Annals of Operations Research 166 2009 23 38
81. J. Jin Multi-Objective Machine Learning 2006 Springer Berlin Heidelberg
82. Joachims, T., 2002. Optimizing search engines using clickthrough data. In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 133-142.
83. G. Kass An exploratory technique for investigating large quantities of categorical data Journal of Applied Statistics 29 2 1980 119 127
84. R. Keeney, and H. Raiffa Decisions with Multiple Objectives: Preferences and Value Trade-offs 1993 Cambridge University Press Cambridge
85. I. Kojadinovic Estimation of the weights of interacting criteria from the set of profiles by means of information-theoretic functionals European Journal of Operational Research 155 3 2004 741 751
86. I. Kojadinovic Minimum variance capacity identification European Journal of Operational Research 177 1 2007 498 514
87. M. Köksalan, and S. Özpeynirci An interactive sorting method for additive utility functions Computers & Operations Research 36 9 2009 2565 2572
88. M. Köksalan, and C. Ulu An interactive approach for placing alternatives in preference classes European Journal of Operational Research 144 2003 429 439
89. Kotlowski, W., Slowinski, R., 2009. Rule learning with monotonicity constraints. In: ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning. ACM, New York, NY, USA, pp. 537-544.
90. W. Kotlowski, K. Dembczynski, S. Greco, and R. Slowinski Stochastic dominance-based rough set model for ordinal classification Information Sciences 178 21 2008 4019 4037
91. K. Kottathra, and Y. Attikiouzel A novel multicriteria optimization algorithm for the structure determination of multilayer feedforward neural networks Journal of Network and Computer Applications 19 1996 135 147
92. G. Kou, X. Liu, Y. Peng, Y. Shi, M. Wise, and W. Xu Multiple criteria linear programming approach to data mining: Models, algorithm designs and software development Optimization Methods and Software 18 4 2003 453 473
93. P. Langley, W. Iba, and K. Thompson An analysis of Bayesian classifiers Proceedings of the 10th National Conference on Artificial Intelligence 1992 AAAI Press 223 228
94. H. Li, and J. Sun Hybridizing principles of the ELECTRE method with case-based reasoning for data mining: ELECTRE-CBR-I and ELECTRE-CBR-II European Journal of Operational Research 197 1 2009 214 224
95. 2CBR) Computers and Operations Research 37 1 2010 137 151
96. Y. Li, K. Ida, M. Gen, and R. Kobuchi Neural network approach for multicriteria solid transportation problem Computers and Industrial Engineering 33 3-4 1997 465 468
97. J. Ma, Z. Fan, Y. Jiang, J. Mao, and L. Ma A method for repairing the inconsistency of fuzzy preference relations Fuzzy Sets and Systems 157 1 2006 20 33
98. B. Malakooti, and V. Raman Clustering and selection of multiple criteria alternatives using unsupervised and supervised neural networks Journal of Intelligent Manufacturing 11 2000 435 451
99. B. Malakooti, and Y. Zhou A recursive ann for solving adaptive multiple criteria problems Pure Mathematics and Applications, Series C 2 2-4 1991 165 176
100. B. Malakooti, and Y. Zhou Feedforward artificial neural networks for solving discrete multiple criteria decision making problems Management Science 40 11 1994 1542 1561
101. O. Mangasarian, and E. Wild Nonlinear knowledge-based classification IEEE Transactions on Neural Networks 19 10 2008 1826 1832
102. M. Mannino, and M. Koushik The cost-minimizing inverse classification problem: A genetic algorithm approach Decision Support Systems 29 3 2000 283 300
103. J.-L. Marichal, and M. Roubens Determination of weights of interacting criteria from a reference set European Journal of Operational Research 124 3 2000 641 650
104. J.-M. Martel, and B. Matarazzo Other outranking approaches J. Figueira, S. Greco, M. Ehrgott, Multiple Criteria Decision Analysis-State of the Art Surveys 2005 Springer Boston 197 262
105. D. Martens, M. De Backer, R. Haesen, B. Baesens, C. Mues, and J. Vanthienen Ant-based approach to the knowledge fusion problem M. Dorigo, L. Gambardella, M. Birattari, A. Martinoli, R. Poli, T. Stützle, Lecture Notes in Computer Science 2006 Springer Berlin Heidelberg 84 95
106. D. Martens, B. Baesens, T. Van Gestel, and J. Vanthienen Comprehensible credit scoring models using rule extraction from support vector machines European Journal of Operational Research 183 3 2007 1466 1476
107. P. McMullen A kohonen self-organizing map approach to addressing a multiobjective mixed-model JIT sequencing problem International Journal of Production Economics 72 2001 59 71
108. T. Mitchell Machine Learning 1997 McGraw-Hill New York
109. J. Montaño, and A. Palmer Numeric sensitivity analysis applied to feedforward neural networks Neural Computing and Applications 12 2003 119 125
110. V. Mousseau, and R. Slowinski Inferring an ELECTRE-TRI model from assignment examples Journal of Global Optimization 12 2 1998 157 174
111. V. Mousseau, J. Figueira, and J.-P. Naux Using assignment examples to infer weights for ELECTRE TRI method: Some experimental results European Journal of Operational Research 130 2001 263 275
112. V. Mousseau, L. Dias, J. Figueira, C. Gomes, and J. Clímaco Resolving inconsistencies among constraints on the parameters of an MCDA model European Journal of Operational Research 147 1 2003 72 93
113. V. Mousseau, L. Dias, and J. Figueira Dealing with inconsistent judgments in multiple criteria sorting models A Quarterly Journal of Operations Research 4 3 2006 145 158
114. H. Nakayama, Y. Yun, T. Asada, and M. Yoon MOP/GP models for machine learning European Journal of Operational Research 166 2005 756 768
115. R. Neal Bayesian Learning for Neural Networks 1996 Springer New York
116. A. Ngo The, and V. Mousseau Using assignment examples to infer category limits for the ELECTRE TRI method Journal of Multi-Criteria Decision Analysis 11 2002 2943
117. Y. Ni, C. Huang, and S. Kokot Application of multivariate calibration and artificial neural networks to simultaneous kinetic-spectrophotometric determination of carbamate pesticides Chemometrics and Intelligent Laboratory Systems 71 2004 177193
118. L. Oliveira, M. Morita, and R. Sabourin Feature selection for ensembles applied to handwriting recognition International Journal on Document Analysis and Recognition 8 4 2006 262 279 (Pubitemid 44251801)
119. K.-M. Osei-Bryson Evaluation of decision trees: A multi-criteria approach Computers and Operations Research 31 2004 1933 1945
120. K.-M. Osei-Bryson Post-pruning in decision tree induction using multiple performance measures Computers and Operations Research 34 2007 3331 3345
121. M. Öztürk, A. Tsoukis, and P. Vincke Preference modelling J. Figueira, S. Greco, M. Ehrgott, Multiple Criteria Decision Analysis-State of the Art Surveys 2005 Springer Boston 27 71
122. C.-P. Park, and I. Han A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction Expert Systems with Applications 23 3 2002 255 264
123. Z. Pawlak Rough sets International Journal of Information and Computer Sciences 11 1982 341 356
124. Z. Pawlak, and R. Slowinski Rough set approach to multi-attribute decision analysis European Journal of Operational Research 72 1994 443 459
125. J. Pearl Probabilistic Reasoning in Intelligent Systems 1988 Morgan Kaufmann San Francisco
126. R. Potharst, and A. Feelders Classification trees for problems with monotonicity constraints ACM SIGKDD Explorations Newsletter 4 1 2002 1 10
127. L. Qu, and Y. Chen A hybrid MCDM method for route selection of multimodal transportation network Lecture Notes in Computer Science 5263 2008 374 383
128. J. Quinlan Induction of decision trees Machine Learning 1 1986 81 106
129. J. Quinlan C4.5: Programs for Machine Learning 1993 Morgan Kaufmann Publishers Los Altos, California
130. K. Raju, D. Kumar, and L. Duckstein Artificial neural networks and multicriterion analysis for sustainable irrigation planning Computers and Operations Research 33 2006 1138 1153
131. B. Roy The outranking approach and the foundations of ELECTRE methods Theory and Decision 31 1991 49 73
132. B. Roy Decision science or decision-aid science? European Journal of Operational Research 66 2 1993 184 203
133. B. Roy Multicriteria Methodology for Decision Aiding 1996 Springer New York
134. B. Roy Robustness in operational research and decision aiding: A multi-faceted issue European Journal of Operational Research 2010 3 2010 629638
135. Roy, B., 2010b. Two conceptions of decision aiding. International Journal of Multicriteria Decision Making, in press.
136. T. Saaty Fundamentals of the Analytic Hierarchy Process 2006 RWS Publications Pittsburgh, PA
137. R. Schapire, Y. Freund, P. Bartlett, and W. Lee Boosting the margin: A new explanation for the effectiveness of voting methods The Annals of Statistics 26 5 1998 1651 1686
138. B. Schölkopf, and A. Smola Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond 2002 MIT Press Cambridge, Massachusetts
139. J.-B. Sheu A hybrid neuro-fuzzy analytical approach to mode choice of global logistics management European Journal of Operational Research 189 3 2008 971 986
140. 2 on the internet Computers and Chemical Engineering 28 2004 821 828
141. J. Sill Monotonic networks M. Jordan, M. Kearns, S. Solla, Advances in Neural Information Processing Systems vol. 10 1997 MIT Press Cambridge, MA 661 667
142. J. Siskos, and D. Despotis A DSS oriented method for multiobjective linear programming problems Decision Support Systems 5 1989 47 55
143. Y. Siskos, and E. Grigoroudis New trends in aggregation-disaggregation approaches C. Zopounidis, P. Pardalos, Handbook of multicriteria analysis 2010 Springer Berlin 189 214
144. J. Siskos, E. Grigoroudis, and N. Matsatsinis UTA methods J. Figueira, S. Greco, M. Ehrgott, Multiple Criteria Decision Analysis-State of the Art Surveys 2005 Springer Boston 297 343
145. R. Slowinski, and J. Stefanowski Rough classification with valued closeness relation E. Diday, Y. Lechevallier, M. Schader, P. Bertrand, B. Burtschy, New Approaches in Classification and Data Analysis 1994 Springer Berlin 482 489
146. R. Slowinski, S. Greco, and B. Matarazzo Rough sets in decision making R. Meyers, Encyclopedia of Complexity and Systems Science 2009 Springer New York 7753 7787
147. A. Stam, M. Sun, and M. haines Artificial neural network representations for hierarchical preference structures Computers and Operations Research 23 12 1996 1191 1201
148. I. Steinwart, and A. Christmann Support Vector Machines 2008 Springer New York
149. R. Steuer, and E. Choo An interactive weighted Tchebycheff procedure for multiple objective programming Mathematical Programming 26 1 1983 326 344
150. M. Sun, A. Stam, and R. Steuer Solving multiple objective programming problems using feed-forward artificial neural networks: The interactive FFANN procedure Management Science 42 6 1996 835 849
151. M. Sun, A. Stam, and R. Steuer Interactive multiple objective programming using Tchebycheff programs and artificial neural networks Computers and Operations Research 27 7-8 2000 601 620
152. R. Teixeira, A. Braga, R. Takahashi, and R. Saldanha Improving generalization of mlps with multi-objective optimization Neurocomputing 35 14 2000 189194
153. G. Towell, and J. Shavlik Knowledge-based artificial neural networks Artificial Intelligence 70 1-2 1994 119 165
154. A. Tsakonas, G. Dounias, M. Doumpos, and C. Zopounidis Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming Expert Systems with Applications 30 3 2006 449 461
155. Tsoukis From decision theory to decision aiding methodology European Journal of Operational Research 187 1 2008 138161
156. R. van de Kamp, A. Feelders, and N. Barile Isotonic classification trees Lecture Notes in Computer Science 5772 2009 405 416
157. V. Vapnik An overview of statistical learning theory IEEE Transactions on Neural Networks 10 5 1999 988 999
158. V. Vapnik The Nature of Statistical Learning Theory second ed. 2000 Springer New York
159. M. Velikova, H. Daniels, and A. Feelders Mixtures of monotone networks for prediction International Journal of Computational Intelligence 3 3 2006 205 214
160. R. Vetschera, Y. Chen, K. Hipel, and D. Kilgour Robustness and information levels in case-based multiple criteria sorting European Journal of Operational Research 202 3 2010 841 852
161. P. Vincke Robust solutions and methods in decision-aid Journal of Multi-Criteria Decision Analysis 8 3 1999 181 187
162. W. Waegeman, B. De Baets, and B. Boullart Kernel-based learning methods for preference aggregation A Quarterly Journal of Operations Research 7 2009 169 189
163. J. Wang A neural network approach to modeling fuzzy preference relations for multiple criteria decision making Computers and Operations Research 21 9 1994 991 1000
164. J. Wang A neural network approach to multiple criteria decision making based on fuzzy preference information Information Sciences 78 1994 293 302
165. Y. Wang Multicriteria neural network approach to turbulent image reconstruction Optics Communications 143 1997 279 286 (Pubitemid 127395395)
166. S. Wang, and N. Archer A neural network technique in modeling multiple criteria multiple person decision making Computers and Operations Research 21 2 1994 127 142
167. J. Wang, and B. Malakooti A feedforward neural network for multiple criteria decision making Computers and Operations Research 19 2 1992 151 167
168. J. Wang, J.-Q. Yang, and H. Lee Multicriteria order acceptance decision support in over-demanded job shops: A neural network approach Mathematical and Computer Modelling 19 5 1994 1 19
169. D. Wolpert Stacked generalization Neural Networks 5 1992 241 259
170. D. Wolpert The existence of a priori distinctions between learning algorithms Neural Computation 8 7 1996 1391 1420 (Pubitemid 126449974)
171. D. Wolpert The lack of a priori distinctions between learning algorithms Neural Computation 8 7 1996 1341 1390 (Pubitemid 126449973)
172. D. Wolpert, and W. Macready No free lunch theorems for optimization IEEE Transactions on Evolutionary Computation 1 1 1997 67 82
173. M. Wong, and Y. Guo Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm Decision Support Systems 45 2 2008 368 383
174. Zhang, Y., Rockett, P., in press. Domain-independent feature extraction for multi-classification using multi-objective genetic programming. Pattern Analysis and Applications.
175. C. Zopounidis, and M. Doumpos Building additive utilities for multi-group hierarchical discrimination: The MHDIS method Optimization Methods and Software 14 3 2000 219 240