Journal: European Journal of Operational Research

Volume 113, Issue 2

235 -- 0Yannis Siskos. Editorial: Managing multiple criteria via intelligent decision support systems
236 -- 246Yannis Siskos, Athanasios Spyridakos. Intelligent multicriteria decision support: Overview and perspectives
247 -- 260Valerie Belton, Julie Hodgkin. Facilitators, decision makers, D.I.Y. users: Is intelligent multicriteria decision support for all feasible or desirable?
261 -- 270Victor V. Podinovski. A DSS for multiple criteria decision analysis with imprecisely specified trade-offs
271 -- 280Andrzej Jaszkiewicz, A. B. Ferhat. Solving multiple criteria choice problems by interactive trichotomy segmentation
281 -- 299Yannis Siskos, Athanasios Spyridakos, Denis Yannacopoulos. Using artificial intelligence and visual techniques into preference disaggregation analysis: The MIIDAS system
300 -- 314Andrzej Jaszkiewicz, Roman Slowinski. The Light Beam Search approach - an overview of methodology and applications
315 -- 335Carlos A. Bana e Costa, Leonardo Ensslin, Émerson C. Corrêa, Jean-Claude Vansnick. Decision Support Systems in action: Integrated application in a multicriteria decision aid process
336 -- 354Nikolaos F. Matsatsinis, Yannis Siskos. MARKEX: An intelligent decision support system for product development decisions
355 -- 373Xavier Gandibleux. Interactive multicriteria procedure exploiting a knowledge-based module to select electricity production alternatives: The CASTART system
374 -- 389Andrzej P. Wierzbicki, Janusz Granat. Multi-objective modeling for engineering applications: DIDASN++ system
390 -- 434Anant Singh Jain, Sheik Meeran. Deterministic job-shop scheduling: Past, present and future
435 -- 449Serpil Sayin, Selçuk Karabati. A bicriteria approach to the two-machine flow shop scheduling problem
450 -- 468H. M. Soroush. Sequencing and due-date determination in the stochastic single machine problem with earliness and tardiness costs
469 -- 499Christos Voudouris, Edward P. K. Tsang. Guided local search and its application to the traveling salesman problem