Newsflash

MCDA 86 in Paris, 21-23 September 2017

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

Papers 2010

· Silvia Angilella, Alfio Giarlotta, Fabio Lamantia, ( 2010). A linear implementation to PACMAN, European Journal of Operational Research,Elsevier, vol. 205(2), 401-411.


· Silvia Angilella, Salvatore Greco, Benedetto Matarazzo, (2010). Non-additive Robust Ordinal Regression: a multiple criteria decision model based on the Choquet integral, European Journal of Operational Research,Elsevier, vol. 201(1), 277-288.

· Alberto Fernández, María Calderón, Edurne Barrenechea, Humberto Bustince, and Francisco Herrera (2011). Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations. Fuzzy Sets and Systems 161 (23), 3064-3080.

· Alen Nosic and Martin Weber (2010). How Riskily Do I Invest? The Role of Risk Attitudes, Risk Perceptions, and Overconfidence. Decision Analysis 7 (3), 282-301.

· Alfredo Olivera, Franco Robledo Amoza, and Carlos E. Testuri (2010). A GRASP algorithm for a capacitated, fixed charge, multicommodity network flow problem with uncertain demand and survivability constraints, International Transactions in Operational Research 17(6), 765–776.

· Anjali Awasthi, S.S. Chauhan, and S.K. Goyal (2011). A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty. Mathematical and Computer Modelling 53 (1-2), 98-109.

· Arnaud Liefooghe, Laetitia Jourdan, and El-Ghazali Talbi (2011). A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO. European Journal of Operational Research 209 (2), 104-112.

· Belaid Aouni, Amal Hassaine, and Jean-Marc Martel (2009). Decision-maker's preferences modelling within the goal-programming model: a new typology. Journal of Multi-Criteria Decision Analysis 16 (5-6), 163-178.

· Belaïd Aouni, Jean-Marc Martel, and Amal Hassaine (2009). Fuzzy goal programming model: an overview of the current state-of-the art. Journal of Multi-Criteria Decision Analysis 16 (5-6), 149-161.

· C. Y. Cheong, K. C. Tan, D. K. Liu,and C. J. Lin (2010). Multi-objective and prioritized berth allocation in container ports. Annals of Operations Research 180 (1), 63-103.

· Christine L. Mumford (2010). A multiobjective framework for heavily constrained examination timetabling problems. Annals of Operations Research 180 (1), 3-31.

· Christopher W. Karvetski, James H. Lambert, and Igor Linkov (2009). Emergent conditions and multiple criteria analysis in infrastructure prioritization for developing countries. Journal of Multi-Criteria Decision Analysis 16 (5-6), 125-137.

· Claudia D’Ambrosio and Silvano Martello (2011). Heuristic algorithms for the general nonlinear separable knapsack problem. Computers & Operations Research 38 (2), 505-513.

· Deng-Feng Li, Zhi-Gang Huang, and Guo-Hong Chen (2010). A systematic approach to heterogeneous multiattribute group decision making. Computers & Industrial Engineering 59 (4), 561-572.

· E. Khorram, M. Zarepisheh, and B.A. Ghaznavi-ghosoni (2011). Sensitivity analysis on the priority of the objective functions in lexicographic multiple objective linear programs. European Journal of Operational Research 207 (3), 1162-1168.

· F. Della Croce and A. Grosso (2011). Computational experience with a core-based reduction procedure for the 2-knapsack problem. Computers & Operations Research 38 (2), 514-516.

· Gabriela P. Ribas, Silvio Hamacher, and Alexandre Street (2010). Optimization under uncertainty of the integrated oil supply chain using stochastic and robust programming, International Transactions in Operational Research 17(6), 777–796.

· Ghasem Moslehi and Mehdi Mahnam (2011). A Pareto approach to multi-objective flexible job-shop scheduling problem using particle swarm optimization and local search. International Journal of Production Economics 129 (1), 14-22.

· Haiyan Xu, Keith W. Hipel, D. Marc Kilgour, and Ye Chen (2010). Combining strength and uncertainty for preferences in the graph model for conflict resolution with multiple decision makers. Theory and Decision 69 (4), 497-521.

· Hamid Reza Sayarshad, Nikbakhsh Javadian, Reza Tavakkoli-Moghaddam, and Nastaran Forghani (2010). Solving multi-objective optimization formulation for fleet planning in a railway industry. Annals of Operations Research 181 (1), 185-197.

· Henri Bonnel and C. Yalçın Kaya (2010). Optimization Over the Efficient Set of Multi-objective Convex Optimal Control Problems. Journal of Optimization Theory and Applications 147 (1), 93-112.

· Hui Li, Hojjat Adeli, Jie Sun, and Jian-Guang Han (2011). Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction. Computers & Operations Research 38 (2), 409-419.

· Igor Linkov, F. Kyle Satterstrom, and George P. Fenton (2009). Prioritization of capability gaps for joint small arms program using multi-criteria decision analysis. Journal of Multi-Criteria Decision Analysis 16 (5-6), 179-185.

· Jing-Rung Yu and Wen-Yi Lee (2011). Portfolio rebalancing model using multiple criteria. European Journal of Operational Research 209 (2), 166-175.

· K.  Deb, A.  Sinha, P.J.  Korhonen, and J. Wallenius (2010). An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions. IEEE Transactions on Evolutionary Computation 14 (5), 723-739.

· Kyoung Seok Shin, Jong-Oh Park, and Yeo Keun Kim (2011). Multi-objective FMS process planning with various flexibilities using a symbiotic evolutionary algorithm. Computers & Operations Research 38 (3), 702-712.

· L. Alberto Franco and Ewan Lord (2011). Understanding multi-methodology: Evaluating the perceived impact of mixing methods for group budgetary decisions. Omega 39 (3), 362-372.

· Line Blander Reinhardt and David Pisinger (2011). Multi-objective and multi-constrained non-additive shortest path problems. Computers & Operations Research 38 (3), 605-616.

· Luisa Monroy and Francisco R. Fernández (2011). The Shapley–Shubik index for multi-criteria simple games. European Journal of Operational Research 209 (2), 122-128.

· M. Köksalan and I. Karahan (2010). An Interactive Territory Defining Evolutionary Algorithm: iTDEA. IEEE Transactions on Evolutionary Computation 14 (5), 702-722.

· M. Tavana and M.A. Sodenkamp (2010). A fuzzy multi-criteria decision analysis model for advanced technology assessment at Kennedy Space Center. Journal of the Operational Research Society 61 (10), 1459-1470.

· Madjid Tavana, Mariya A. Sodenkamp, and Leena Suhl (2010). A soft multi-criteria decision analysis model with application to the European Union enlargement. Annals of Operations Research 181 (1), 393-421.

· Majid Zerafat Angiz L., Adli Mustafa, and Ali Emrouznejad (2010). Ranking efficient decision-making units in data envelopment analysis using fuzzy concept. Computers & Industrial Engineering 59 (4), 712-719.

· Manuel Iori, Silvano Martello, and Daniele Pretolani (2011). An aggregate label setting policy for the multi-objective shortest path problem. European Journal of Operational Research 207 (3), 1489-1496.

· Michael Doumpos and Constantin Zopounidis (2010). A multicriteria decision support system for bank rating. Decision Support Systems 50 (1), 55-63.

· Michael Doumpos and Constantin Zopounidis (2011). Preference disaggregation and statistical learning for multicriteria decision support: A review. European Journal of Operational Research 209 (3), 203-214.

· Mohamed Akli Achabou, and Selma Tozanli (2009). The institutional environment in the strategic decision of the emerging companies: the case of the Algerian sugar industry. Journal of Multi-Criteria Decision Analysis 16 (5-6), 139-148.

· Murat Köksalan and Banu Soylu (2010). Bicriteria p-Hub Location Problems and Evolutionary Algorithms. INFORMS Journal on Computing 22 (4), 528-542.

· O.  Steuernagel and D. Polani (2010). Multiobjective Optimization Applied to the Eradication of Persistent Pathogens. IEEE Transactions on Evolutionary Computation 14 (5), 759-765.

· Peter Lindroth, Michael Patriksson, and Ann-Brith Strömberg (2011). Approximating the Pareto optimal set using a reduced set of objective functions. European Journal of Operational Research 207 (3), 1519-1534.

· R.  Battiti and A. Passerini (2010). Brain–Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker. IEEE Transactions on Evolutionary Computation 14 (5), 671-687.

· Salvatore Greco, Vincent Mousseau and Roman Słowiński (2011). Multiple criteria sorting with a set of additive value functions. European Journal of Operational Research 207 (3), 1455-1470.

· Samuel D. Bond, Kurt A. Carlson, and Ralph L. Keeney (2010). Improving the Generation of Decision Objectives. Decision Analysis 7 (3), 238-255.

· Sebastian Sitarz (2010). Standard sensitivity analysis and additive tolerance approach in MOLP. Annals of Operations Research 181 (1), 219-232.

· P. Vasant, Hybrid simulated annealing and genetic algorithms for industrial production management problems. International Journal of Computational Methods, Volume 7, Issue 2, June 2010, pp. 279-297.

· T Wagner and H.  Trautmann (2010). Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions. IEEE Transactions on Evolutionary Computation 14 (5), 688-701.

· Wei-Yuan Cheng and Chia-Feng Juang (2011). An incremental support vector machine-trained TS-type fuzzy system for online classification problems. Fuzzy Sets and Systems 163 (1), 24-44.

· X. Q. Yang and N. D. Yen (2010). Structure and Weak Sharp Minimum of the Pareto Solution Set for Piecewise Linear Multiobjective Optimization. Journal of Optimization Theory and Applications 147 (1), 113-124.

· Yixiong Feng, Bing Zheng, and Zhongkai Li (2010). Exploratory study of sorting particle swarm optimizer for multiobjective design. Mathematical and Computer Modelling 52 (11-12), 1966-1975.

· Yury Nikulin and Marko M. Mäkelä (2011). Stability and accuracy functions for a multicriteria Boolean linear programming problem with parameterized principle of optimality “from Condorcet to Pareto”. European Journal of Operational Research 207 (3), 1497-1505.