Newsflash

MCDA 86 in Paris, 21-23 September 2017

MCDA/M Summer School 2018 in Chania (Greece), July 23 - August 3, 2018

Papers 2009

· Abdi M. R. (2009). Fuzzy multi-criteria decision model for evaluating reconfigurable machines. International Journal of Production Economics 117(1), 1-15.

· Aghezzaf B. and M. Naimi (2009). The two-stage recombination operator and its application to the multiobjective 0/1 knapsack problem: A comparative study. Computers & Operations Research 36(12), 3247-3262.

· Aissi H., C. Bazgan, and D. Vanderpooten (2009). Min–max and min–max regret versions of combinatorial optimization problems: A survey. European Journal of Operational Research 197(2), 427-438.

· Allouche M. A., B. Aouni, J.-M. Martel, T. Loukil, and A. Rebaï (2009). Solving multi-criteria scheduling flow shop problem through compromise programming and satisfaction functions. European Journal of Operational Research 192(2), 460-467.

· Alves M. J. and J. P. Costa (2009). An exact method for computing the nadir values in multiple objective linear programming. European Journal of Operational Research 198(2), 637-646.

· André F. J. (2009). Indirect elicitation of non-linear multi-attribute utility functions. A dual procedure combined with DEA. Omega 37(4), 883-895.

· Androutsopoulos K. N. and K. G. Zografos (2009). Solving the multi-criteria time-dependent routing and scheduling problem in a multimodal fixed scheduled network. European Journal of Operational Research 192(1), 18-28.

· Ang A. T. H., A. I. Sivakumar, and C. Qi (2009). Criteria selection and analysis for single machine dynamic on-line scheduling with multiple objectives and sequence-dependent setups. Computers & Industrial Engineering 56(4), 1223-1231.

· Asan U. and A. Soyer (2009). Identifying strategic management concepts: An analytic network process approach. Computers & Industrial Engineering 56(2), 600-615.

· Asmuni H., E. K. Burke, J. M. Garibaldi, B. McCollum, and A. J. Parkes (2009). An investigation of fuzzy multiple heuristic orderings in the construction of university examination timetables. Computers & Operations Research 36(4), 981-1001.

· Azaron A., C. Perkgoz, H. Katagiri, K. Kato, and M. Sakawa (2009). Multi-objective reliability optimization for dissimilar-unit cold-standby systems using a genetic algorithm. Computers & Operations Research36(5), 1562-1571.

· Basnet C. and A. Weintraub (2009). A genetic algorithm for a bicriteria supplier selection problem. International Transactions in Operational Research 16(2), 173-187.

· Bazgan C., H. Hugot, and D. Vanderpooten (2009). Implementing an efficient fptas for the 0–1 multi-objective knapsack problem. European Journal of Operational Research 198(1), 47-56.

· Bazgan C., H. Hugot, and D. Vanderpooten (2009). Solving efficiently the 0–1 multi-objective knapsack problem. Computers & Operations Research 36(1), 260-279.

· Beliakov G. (2009). Construction of aggregation functions from data using linear programming. Fuzzy Sets and Systems 160(1), 65-75.

· Berghammer R. , A. Rusinowska, and H. de Swart (2009). An interdisciplinary approach to coalition formation. European Journal of Operational Research 195(2), 487-496.

· Bouyssou D. and M. Pirlot (2009). An axiomatic analysis of concordance–discordance relations. European Journal of Operational Research 199(2), 468-477.

· Boyer V., M. Elkihel, and D. El Baz (2009). Heuristics for the 0–1 multidimensional knapsack problem. European Journal of Operational Research 199(3), 658-664.

· Branke J., B. Scheckenbach, M. Stein, K. Deb, and H. Schmeck (2009). Portfolio optimization with an envelope-based multi-objective evolutionary algorithm. European Journal of Operational Research 199(3),684-693.

· Brink R. and R. P. Gilles (2009). The outflow ranking method for weighted directed graphs. European Journal of Operational Research 193(2), 484-491.

· Campello R. J. G. B., E. R. Hruschka, and V. S. Alves (2009). On the efficiency of evolutionary fuzzy clustering. Journal of Heuristics 15(1), 43-75.

· Caramia M. and F. Guerriero (2009). A heuristic approach to long-haul freight transportation with multiple objective functions. Omega 37(3), 600-614.

· Cardoen B., E. Demeulemeester, and J. Beliën (2009). Optimizing a multiple objective surgical case sequencing problem. International Journal of Production Economics 119(2), 354-366.

· Chen E. J. and L. H. Lee (2009). A multi-objective selection procedure of determining a Pareto set. Computers & Operations Research 36(6), 1872-1879.

· Chen X., C. Zhang, and M. Fukushima (2009). Robust solution of monotone stochastic linear complementarity problems. Mathematical Programming 117(1-2), 51-80.

· Chuu S.-J. (2009). Group decision-making model using fuzzy multiple attributes analysis for the evaluation of advanced manufacturing technology. Fuzzy Sets and Systems 160(5), 586-602.

· Cohn A., M. Magazine, and G. Polak (2009). Rank-Cluster-and-Prune: An algorithm for generating clusters in complex set partitioning problems. Naval Research Logistics (NRL) 56(3), 215-225.

· Corsair H. J., J. Bassman Ruch, P. Q. Zheng, B. F. Hobbs, and J. F. Koonce (2009). Multicriteria Decision Analysis of Stream Restoration: Potential and Examples. Group Decision and Negotiation 18(4), 387-417.

· De Loera J. A., R. Hemmecke, and M. Köppe (2009). Pareto Optima of Multicriteria Integer Linear Programs. INFORMS Journal on Computing 21(1), 39-48.

· Dembczyński K., S. Greco, R. Słowiński (2009). Rough set approach to multiple criteria classification with imprecise evaluations and assignments. European Journal of Operational Research 198(2), 626-636.

· Demuynck Th. (2009). Absolute and Relative Time-Consistent Revealed Preferences. Theory and Decision 66(3), 283-299.

· Denguir-Rekik A., J. Montmain, and G. Mauris (2009). A possibilistic-valued multi-criteria decision-making support for marketing activities in e-commerce: Feedback Based Diagnosis System. European Journal of Operational Research 195(3), 876-888.

· Dentcheva D. and A. Ruszczyński (2009). Optimization with multivariate stochastic dominance constraints. Mathematical Programming 117(1-2), 111-127.

· Doerner K. F., W. J. Gutjahr, and P. C. Nolz (2009). Multi-criteria location planning for public facilities in tsunami-prone coastal areas. OR Spectrum 31(3), 651-678.

· Doumpos M., Y. Marinakis, M. Marinaki, and C. Zopounidis (2009). 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), 496-505.

· Driouchi T., M. Leseure, and D. Bennett (2009). A robustness framework for monitoring real options under uncertainty. Omega 37(3), 698-710.

· Durbach I. (2009). On the estimation of a satisficing model of choice using stochastic multicriteria acceptability analysis. Omega 37(3), 497-509.

· Durbach I. N. and T. J. Stewart (2009). Using expected values to simplify decision making under uncertainty. Omega 37(2), 312-330.

· Efremov R. V. and G. K. Kamenev (2009). Properties of a method for polyhedral approximation of the feasible criterion set in convex multiobjective problems. Annals of Operations Research 166(1), 271-279.

· Engau A. (2009). Tradeoff-based decomposition and decision-making in multiobjective programming. European Journal of Operational Research 199(3), 883-891.

· Eusébio A. and J. R. Figueira (2009). On the computation of all supported efficient solutions in multi-objective integer network flow problems. European Journal of Operational Research 199(1), 68-76.

· Fernandez E., J. Navarro, and S. Bernal (2009). Multicriteria sorting using a valued indifference relation under a preference disaggregation paradigm. European Journal of Operational Research 198(2), 602-609.

· Figueira J. R. and B. Roy (2009). A note on the paper, “Ranking irregularities when evaluating alternatives by using some ELECTRE methods”, by Wang and Triantaphyllou, Omega (2008). Omega 37(3), 731-733.

· Figueira J. R., S. Greco, and B. Roy (2009). ELECTRE methods with interaction between criteria: An extension of the concordance index. European Journal of Operational Research 199(2), 478-495.

· Figueira J. R., S. Greco, and R. Słowiński (2009). Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method. European Journal of Operational Research 195(2), 460-486.

· G. Montibeller and V. Belton (2009). Qualitative operators for reasoning maps: Evaluating multi-criteria options with networks of reasons. European Journal of Operational Research 195(3), 829-840.

· Galitsky B. A., M. P. González, and C.I. Chesñevar (2009). A novel approach for classifying customer complaints through graphs similarities in argumentative dialogues. Decision Support Systems 46(3), 717-729.

· García-Cascales M. S. and M. T. Lamata (2009). Selection of a cleaning system for engine maintenance based on the analytic hierarchy process. Computers & Industrial Engineering 56(4), 1442-1451.

· Geldermann J., V. Bertsch, M. Treitz, S. French, K. N. Papamichail, and R. P. Hämäläinen (2009). Multi-criteria decision support and evaluation of strategies for nuclear remediation management. Omega 37(1), 238-251.

· Girão-Silva R., J. Craveirinha, and J. Clímaco (2009). Hierarchical multiobjective routing in Multiprotocol Label Switching networks with two service classes: a heuristic solution. International Transactions in Operational Research 16(3), 275-305.

· Glackin J., J. G. Ecker, and M. Kupferschmid (2009). Solving Bilevel Linear Programs Using Multiple Objective Linear Programming. Journal of Optimization Theory and Applications 140(2), 197-212.

· Goberna M. A. and M. I. Todorov (2009). Primal-dual stability in continuous linear optimization. Mathematical Programming 116(1-2), 129-146.

· Gomes L. F. A. M. and L. A. D. Rangel (2009). An application of the TODIM method to the multicriteria rental evaluation of residential properties. European Journal of Operational Research 193(1), 204-211.

· Gong W. and Z. Cai (2009). An improved multiobjective differential evolution based on Pareto-adaptive epsilon (Porson)-dominance and orthogonal design. European Journal of Operational Research 198(2), 576-601.

· González-Díaz J. and E. Sánchez-Rodríguez (2009). Towards an axiomatization of the core-center. European Journal of Operational Research 195(2), 449-459.

· Graves S. B. and J. L. Ringuest (2009). Probabilistic dominance criteria for comparing uncertain alternatives: A tutorial. Omega 37(2), 346-357.

· Hakimi-Asiabar M., S. H. Ghodsypour, and R. Kerachian (2009). Multi-objective genetic local search algorithm using Kohonen’s neural map. Computers & Industrial Engineering 56(4), 1566-1576.

· Halouani N., H. Chabchoub, and J.-M. Martel (2009). PROMETHEE-MD-2T method for project selection. European Journal of Operational Research 195(3), 841-849.

· Helzner J. (2009). On the Application of Multiattribute Utility Theory to Models of Choice. Theory and Decision 66(4), 301-315.

· Hovanov N., M. Yudaeva, and K. Hovanov (2009). Multicriteria estimation of probabilities on basis of expert non-numeric, non-exact and non-complete knowledge. European Journal of Operational Research195(3), 857-863.

· Huang D. K., H. N. Chiu, R. H. Yeh, and J. H. Chang (2009). A fuzzy multi-criteria decision making approach for solving a bi-objective personnel assignment problem. Computers & Industrial Engineering 56(1),1-10.

· Hughes W. R. (2009). A statistical framework for strategic decision making with AHP: Probability assessment and Bayesian revision. Omega 37(2), 463-470.

· Jessop A. (2009). A multicriteria blockmodel for performance assessment Omega 37(1), 204-214.

· Jiménez A., A. Mateos, and S. Ríos-Insua (2009). Missing consequences in multiattribute utility theory. Omega 37(2), 395-410.

· Kang C.-C. and C.-M. Feng (2009). Risk measurement and risk identification for BOT projects: A multi-attribute utility approach. Mathematical and Computer Modelling 49(9-10), 1802-1815.

· Khorram E. and H. Zarei (2009). Multi-objective optimization problems with Fuzzy relation equation constraints regarding max-average composition. Mathematical and Computer Modelling 49(5-6), 856-867.

· Kitsios F., M. Doumpos, E. Grigoroudis, and C. Zopounidis (2009). Evaluation of new service development strategies using multicriteria analysis: predicting the success of innovative hospitality services.Operational Research - An International Journal (ORIJ) 9(1), 17-33.

· Kobayashi K., H. Morohosi, and T. Oyama (2009). Applying path-counting methods for measuring the robustness of the network-structured system. International Transactions in Operational Research 16(3),371-389.

· Köksalan M. and B. Lokman (2009). Approximating the nondominated frontiers of multi-objective combinatorial optimization problems. Naval Research Logistics (NRL) 56(2), 191-198.

· Köksalan M., V. Mousseau, Ö. Özpeynirci, and S. B.Özpeynirci (2009). A new outranking-based approach for assigning alternatives to ordered classes. Naval Research Logistics (NRL) 56(1), 74-85.

· Krzyśko M. and W. Wołyński (2009). New variants of pairwise classification. European Journal of Operational Research 199(2), 512-519.

· Lahdelma R., S. Makkonen, and P. Salminen (2009). Two ways to handle dependent uncertainties in multi-criteria decision problems. Omega 37(1), 79-92.

· Lakiotaki K., P. Delias, V. Sakkalis, and N. F. Matsatsinis (2009). User profiling based on multi-criteria analysis: the role of utility functions. Operational Research - An International Journal (ORIJ) 9(1), 3-16.

· Lee H., S. Lee, and Y. Park (2009). Selection of technology acquisition mode using the analytic network process. Mathematical and Computer Modelling 49(5-6), 1274-1282.

· Leguizamon G. and C. A. C. Coello (2009). Boundary Search for Constrained Numerical Optimization Problems With an Algorithm Inspired by the Ant Colony Metaphor. IEEE Transactions on Evolutionary Computation 13(2), 350-368.

· Li H. and J. Sun (2009). 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), 214-224.

· Li H. and Q. Zhang (2009). Multiobjective Optimization Problems with Complicated Pareto Sets, MOEA/D and NSGA-II. IEEE Transactions on Evolutionary Computation 13(2), 284-302.

· Li S. and C. Hu (2009). Satisfying optimization method based on goal programming for fuzzy multiple objective optimization problem. European Journal of Operational Research 197(2), 675-684.

· Lightle J. P., J. H. Kagel, and H. R. Arkes (2009). Information Exchange in Group Decision Making: The Hidden Profile Problem Reconsidered. Management Science 55 (4), 568-581.

· Linares P. (2009). Are inconsistent decisions better? An experiment with pairwise comparisons. European Journal of Operational Research 193(2), 492-498.

· Liu F.-H. F. and Hao Hsuan Peng (2009). A systematic procedure to obtain a preferable and robust ranking of units. Computers & Operations Research 36(4), 1012-1025.

· Løken E., A. Botterud, and A. T. Holen (2009). Use of the equivalent attribute technique in multi-criteria planning of local energy systems. European Journal of Operational Research 197(3), 1075-1083.

· Loukeris N., D. Donelly, A. Khuman, and Y. Peng (2009). A numerical evaluation of meta-heuristic techniques in portfolio optimization. Operational Research - An International Journal (ORIJ) 9(1), 81-103.

· Lozano S. and G. Villa (2009). Multiobjective target setting in data envelopment analysis using AHP. Computers & Operations Research 36(2), 549-564.

· Luque M., K. Miettinen, P. Eskelinen, and F. Ruiz (2009). Incorporating preference information in interactive reference point methods for multiobjective optimization. Omega 37(2), 450-462.

· Manikas A. and Y.-L. Chang (2009). Multi-criteria sequence-dependent job shop scheduling using genetic algorithms. Computers & Industrial Engineering 56(1), 179-185.

· Mannino M., Y. Yang, and Y. Ryu (2009). Classification algorithm sensitivity to training data with non representative attribute noise. Decision Support Systems 46(3), 743-751.

· Marinakis Y., M. Marinaki, N. Matsatsinis, and C. Zopounidis (2009). Evolution of the population of a genetic algorithm using particle swarm optimization: application to clustering analysis. Operational Research - An International Journal (ORIJ) 9(1), 105-120.

· Mastrogiannis N., B. Boutsinas, and I. Giannikos (2009). A method for improving the accuracy of data mining classification algorithms. Computers & Operations Research 36(10), 2829-2839.

· Melgarejo L., J. Neiva de Figueiredo, and C. Ernani Fries (2009). A decision support methodology for increasing public investment efficiency in Brazilian agrarian reform. International Transactions in Operational Research 16(1), 25-48.

· Meyer, P. (2009). Progressive methods in multiple criteria decision analysis. 4OR - A Quarterly Journal of Operations Research 7(2), 191-194.

· Michnik J. and M.-C. Lo (2009). The assessment of the information quality with the aid of multiple criteria analysis. European Journal of Operational Research 195(3), 850-856.

· Molina J., L. V. Santana, A. G. Hernández-Díaz, C. A. Coello Coello, and R. Caballero (2009). g-dominance: Reference point based dominance for multiobjective metaheuristics. European Journal of Operational Research 197(2), 685-692.

· Monteiro Gomes L. F. A., L. A. Duncan Rangel, and F. J. Coelho Maranhão (2009). Multicriteria analysis of natural gas destination in Brazil: An application of the TODIM method. Mathematical and Computer Modelling 50(1-2), 92-100.

· Montibeller G., L. A. Franco, E. Lord, and A. Iglesias (2009). Structuring resource allocation decisions: A framework for building multi-criteria portfolio models with area-grouped options. European Journal of Operational Research 199(3), 846-856.

· Mordukhovich B. S. (2009). Multiobjective optimization problems with equilibrium constraints. Mathematical Programming 117(1-2), 331-354.

· Moser B. (2009). On the compactness of admissible transformations of fuzzy partitions in terms of T-equivalence relations. Fuzzy Sets and Systems 160(1), 95-106.

· Mousset C. (2009). Families of relations modelling preferences under incomplete information. European Journal of Operational Research 192(2), 538-548.

· Namen A. A. , C. T. Bornstein, and J. Rosenhead (2009). Robustness analysis for sustainable community development. Journal of the Operational Research Society (JORS) 60(5), 587-597.

· Nefti S., M. Oussalah, and Y. Rezgui (2009). A modified fuzzy clustering for documents retrieval: application to document categorization. Journal of the Operational Research Society (JORS) 60, 384-394.

· Neves L. P., L. C. Dias, C. H. Antunes, and A. G. Martins (2009). Structuring an MCDA model using SSM: A case study in energy efficiency. European Journal of Operational Research 199(3), 834-845.

· Öncan T., İ. K. Altınel, and G. Laporte (2009). A comparative analysis of several asymmetric traveling salesman problem formulations. Computers & Operations Research 36(3), 637-654.

· Orriols-Puig A., J. Casillas, and E. Bernado-Mansilla (2009). Fuzzy-UCS: A Michigan-Style Learning Fuzzy-Classifier System for Supervised Learning. IEEE Transactions on Evolutionary Computation 13(2), 260-283.

· Özcan U. and B. Toklu (2009). Multiple-criteria decision-making in two-sided assembly line balancing: A goal programming and a fuzzy goal programming models. Computers & Operations Research 36(6),1955-1965.

· Özlen M. and M. Azizoğlu (2009). Multi-objective integer programming: A general approach for generating all non-dominated solutions. European Journal of Operational Research 199(1), 25-35.

· Özpeynirci Ö. and M. Köksalan (2009). Multiobjective traveling salesperson problem on Halin graphs. European Journal of Operational Research 196(1), 155-161.

· Perry Th. C. and J. C. Hartman (2009). An approximate dynamic programming approach to solving a dynamic, stochastic multiple knapsack problem. International Transactions in Operational Research 16(3),347-359.

· Pinto L. L., C. Th. Bornstein, and N. Maculan (2009). The tricriterion shortest path problem with at least two bottleneck objective functions. European Journal of Operational Research 198(2), 387-391.

· R. Khemchandani and S. Chandra (2009). Knowledge based proximal support vector machines. European Journal of Operational Research 195(3), 914-923.

· R. Madlener, C. H. Antunes, and L. C. Dias (2009). Assessing the performance of biogas plants with multi-criteria and data envelopment analysis. European Journal of Operational Research 197(3), 1084-1094.

· Raith A. and M. Ehrgott (2009). A comparison of solution strategies for biobjective shortest path problems. Computers & Operations Research 36(4), 1299-1331.

· Raith A. and M. Ehrgott (2009). A two-phase algorithm for the biobjective integer minimum cost flow problem. Computers & Operations Research 36(6), 1945-1954.

· Ramaekers K. (2009). A simulation optimisation approach for inventory management decision support based on incomplete information. 4OR - A Quarterly Journal of Operations Research 7(1), 93-96.

· Rangavajhala S., A. A. Mullur, and A. Messac (2009). Equality Constraints in Multiobjective Robust Design Optimization: Decision Making Problem. Journal of Optimization Theory and Applications 140(2), 315-337.

· Ruiz F. , M. Luque, and J. M. Cabello (2009). A classification of the weighting schemes in reference point procedures for multiobjective programming. Journal of the Operational Research Society (JORS) 60, 544-553.

· Saad I. and S. Chakhar (2009). A decision support for identifying crucial knowledge requiring capitalizing operation. European Journal of Operational Research 195(3), 889-904.

· Schniederjans M. J., M. L. Pantoya, J. J. Hoffman, and D. L. Willauer (2009). A multi-objective modeling approach for energetic material evaluation decisions. European Journal of Operational Research 194(3),629-636.

· Sevastjanov P. and L. Dymova (2009). Stock screening with use of multiple criteria decision making and optimization. Omega 37(3), 659-671.

· Shipley M. F. and M. Johnson (2009). A fuzzy approach for selecting project membership to achieve cognitive style goals. European Journal of Operational Research 192(3), 918-928.

· Siegfried T., Bleuler S., M. Laumanns, E. Zitzler, and W. Kinzelbach (2009). Multiobjective Groundwater Management Using Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation 13(2), 229-242.

· Stepanov A. and J. M.-G. Smith (2009). Multi-objective evacuation routing in transportation networks. European Journal of Operational Research 198(2), 435-446.

· Sun J. and H. Li (2009). Financial distress early warning based on group decision making. Computers & Operations Research 36(3) 885-906.

· Tan K. C., S. C. Chiam, A. A. Mamun, and C. K. Goh (2009). Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. European Journal of Operational Research 197(2), 701-713.

· Tavakkoli-Moghaddam R., F. Taheri, M. Bazzazi, M. Izadi, and F. Sassani (2009). Design of a genetic algorithm for bi-objective unrelated parallel machines scheduling with sequence-dependent setup times and precedence constraints. Computers & Operations Research 36(12), 3224-3230.

· Tervonen T., J. R. Figueira, R. Lahdelma, J. Almeida Dias, and P. Salminen (2009). A stochastic method for robustness analysis in sorting problems. European Journal of Operational Research, 192(1), 236-242.

· Valls A., M. Batet, and E. M. López (2009). Using expert’s rules as background knowledge in the ClusDM methodology. European Journal of Operational Research 195(3), 864-875.

· Van de Walle B. and M. Turoff (2009). Fuzzy relations for the analysis of traders’ preferences in an information market game. European Journal of Operational Research 195(3), 905-913.

· Voulgaridou D., K. Kirytopoulos, and V. Leopoulos (2009). An analytic network process approach for sales forecasting. Operational Research - An International Journal (ORIJ) 9(1), 35-53.

· Waegeman W., B. De Baets, and L. Boullart (2009). Kernel-based learning methods for preference aggregation. 4OR - A Quarterly Journal of Operations Research 7(2), 169-189.

· Wang H. and S. Wang (2009). Towards optimal use of incomplete classification data. Computers & Operations Research 36(4), 1221-1230.

· Wang Y.-M. and K.-S. Chin (2009). A new data envelopment analysis method for priority determination and group decision making in the analytic hierarchy process. European Journal of Operational Research195(1), 239-250.

· Wu C.-W. (2009). Decision-making in testing process performance with fuzzy data. European Journal of Operational Research 193(2), 499-509.

· Wu D. D. (2009). Performance evaluation: An integrated method using data envelopment analysis and fuzzy preference relations. European Journal of Operational Research 194(1), 227-235.

· Xidonas P., D. Askounis, and J. Psarras (2009). Common stock portfolio selection: a multiple criteria decision making methodology and an application to the Athens Stock Exchange. Operational Research - An International Journal (ORIJ) 9(1), 55-79.

· Xidonas P., G. Mavrotas, and J. Psarras (2009). A multicriteria methodology for equity selection using financial analysis. Computers & Operations Research 36(12), 3187-3203.

· Xu G. and L. G. Papageorgiou (2009). A mixed integer optimisation model for data classification. Computers & Industrial Engineering 56(4), 1205-1215.

· Xu J. and L. Yao (2009). A class of multiobjective linear programming models with random rough coefficients. Mathematical and Computer Modelling 49(1-2), 189-206.

· Xu Z. (2009). An automatic approach to reaching consensus in multiple attribute group decision making. Computers & Industrial Engineering 56(4), 1369-1374.

· Xu Z. (2009). An Interactive Approach to Multiple Attribute Group Decision Making with Multigranular Uncertain Linguistic Information. Group Decision and Negotiation 18(2), 119-145.

· Yedidsion L., D. Shabtay, E. Korach, and M. Kaspi (2009). A bicriteria approach to minimize number of tardy jobs and resource consumption in scheduling a single machine. International Journal of Production Economics 119(2), 298-307.

· Yeh C.-H. and Y.-H. Chang (2009). Modeling subjective evaluation for fuzzy group multicriteria decision making. European Journal of Operational Research 194(2), 464-473.

· Yu L., S. Wang, and K. K. Lai (2009). An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring. European Journal of Operational Research 195(3), 942-959.

· Zarghami M. and F. Szidarovszky (2009). Revising the OWA operator for multi criteria decision making problems under uncertainty. European Journal of Operational Research 198(1), 259-265.

· Zenebe A. and A. F. Norcio (2009). Representation, similarity measures and aggregation methods using fuzzy sets for content-based recommender systems. Fuzzy Sets and Systems 160(1), 76-94.

· Zhang J., Y. Shi, and P. Zhang (2009). Several multi-criteria programming methods for classification. Computers & Operations Research 36(3), 823-836

Zhang W.-G., X.-L. Zhang, and W.-L. Xiao (2009. Portfolio selection under possibilistic mean–variance utility and a SMO algorithm). European Journal of Operational Research 197(2), 693-700