Journal: Decision Support Systems

Volume 4, Issue 4

381 -- 385Ralph L. Keeney, Rolf H. Möhring, H. Otway, Franz Josef Radermacher, Michael M. Richter. Design aspects of advanced decision support systems
387 -- 404Matthias Jarke, Franz Josef Radermacher. The AI potential of model management and its central role in decision support
405 -- 412Ralph L. Keeney. Value-driven expert systems for decision support
413 -- 419Jac M. Anthonisse, Jan Karel Lenstra, Martin W. P. Savelsbergh. Behind the screen: DSS from an OR point of view
421 -- 431Adrie J. M. Beulens, J. A. E. E. van Nunen. The use of expert system technology in DSS
433 -- 439Thomas Kämpke. About assessing and evaluating uncertain inferences within the theory of evidence
441 -- 446Michael M. Richter. AI-Concepts and OR-tools in advanced DSS
447 -- 459Kees M. van Hee, Antoni Lapinski. OR and AI approaches to decision support systems
461 -- 471Detlof von Winterfeldt. Expert systems and behavioral decision research
473 -- 480Rolf Bühner, Peter Kleinschmidt. Reflections on the architecture of a decision support system for personnel assignment scheduling in production cell technology
481 -- 489R. J. Peckham, P. Haastrup, H. Otway. A computer-based system for risk management support
491 -- 501G. van der Hoek, W. van Donselaar. A case study on decision support in a non-linear world
503 -- 508Wietse Z. Venema, Jaap Wessels. Systematic modeling and model handling for manpower planning systems

Volume 4, Issue 3

269 -- 284Jungduck Kim, James F. Courtney. A survey of knowledge acquisition techniques and their relevance to managerial problem domains
285 -- 305Michael J. Shaw, Pei-Lei Tu, Prabuddha De. Applying machine learning to model management in decision support systems
307 -- 312S. Gaglio, Pier Paolo Puliafito, Massimo Paolucci, P. P. Perotto. Some problems on uncertain knowledge acquisition for rule based systems
313 -- 327Mario Fedrizzi, Janusz Kacprzyk, Slawomir Zadrozny. An interactive multi-user decision support system for consensus reaching processes using fuzzy logic with linguistic quantifiers
329 -- 343Paul Freedman, Alfred S. Malowany. SAGE: A decision support system for the sequencing of operations within a robotic workcell
345 -- 354Georgios I. Doukidis. Decision support system concepts in expert systems: An empirical study
355 -- 363M. C. Er. Decision Support Systems: A summary, problems, and future trends
365 -- 375R. Ramesh, G. Chandra Sekar. An integrated framework for decision support in corporate planning

Volume 4, Issue 2

167 -- 177Gregory E. Kersten. A procedure for negotiating efficient and non-efficient compromises
179 -- 182Robert G. Jeroslow. On monotone chaining procedures of the CF type
183 -- 197Robert G. Jeroslow. Computation-oriented reductions of predicate to propositional logic
199 -- 207Kun Chang Lee, Sung Joo Park. Decision support in time series modeling by pattern recognition
209 -- 224Ari P. J. Vepsäläinen. A relational view of activities for systems analysis and design
225 -- 234Ye-Sho Chen. An entity-relationship approach to decision support and expert systems
235 -- 248Gautam Biswas, Michael Oliff, Arun Sen. An expert decision support system for production control
249 -- 257Jac M. Anthonisse, Kees M. van Hee, Jan Karel Lenstra. Resource-constrained project scheduling: an international exercise in DSS development

Volume 4, Issue 1

1 -- 2Steven O. Kimbrough, Ronald M. Lee. Introduction
3 -- 16Steven O. Kimbrough, Ronald M. Lee. Logic modeling: A tool for management science
17 -- 25Peter C. Scott. Requirements analysis assisted by logic modelling
27 -- 44Ronald M. Lee. A logic model for electronic contracting
45 -- 69J. N. Hooker. A quantitative approach to logical inference
71 -- 86Robert G. Jeroslow. Spatial imbeddings for linear and for logic structures
87 -- 95George R. Widmeyer. Logic modeling with partially ordered preferences
97 -- 110Donald Nute. Defeasible reasoning and decision support systems
111 -- 127Steven O. Kimbrough, Fred Adams. Why nonmonotonic logic?
129 -- 142Marvin Belzer, Barry Loewer. A conditional logic for defeasible beliefs