Skip to main content

Decision Support Systems Using Reference Point Optimization

  • Chapter
Aspiration Based Decision Support Systems

Abstract

This paper presents a review of various approaches to decision support, distinguishes a methodological approach based on reference point optimization and reviews advances in this field done in Poland under the contracted study agreement “Theory, Software and Testing Examples for Decision Support Systems” with the International Institute for Applied Systems Analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Anthonisse, J.M., K.M. van Hee and J.K. Lenstra (1987). Resource constrained project scheduling: an international exercise in DSS development. Centre for Mathematics and Computer Science, Department of Operations research and System Theory, Note OS-N9701, Amsterdam, The Netherlands.

    Google Scholar 

  • Axelrod, R. (1985). The Evolution of Cooperation. Basic Books, New York.

    Google Scholar 

  • Bonczek, R. H., Holsapple, C. W. and Whinston, A. B. (1981). Foundations of Decision Support Systems. Academic Press, New York.

    Google Scholar 

  • Cooke, S. and Slack, N. (1984). Making Management Decision. Prentice-Hall, Englewood Cliffs.

    Google Scholar 

  • Dinkelbach, W. (1982). Entscheidungsmodelle, Walter de Gruyter, Berlin, New York.

    Google Scholar 

  • Dreyfus, R. E. (1984). Beyond rationality. In: Grauer, M., Thompson, M., Wierzbicki, A. P. Eds: Plural Rationality and Interactive Decision Processes. Proceedings, Sopron, Hungary, 1984. Lecture Notes in Economics and Mathematical Systems, Vol. 248. Springer-Verlag, Berlin.

    Google Scholar 

  • Erlandson, F. E. (1981). The satisficing process: A new look. IEEE Trans. on Systems, Man and Cybernetics, Vol. SMC-11, No. 11, November 1981.

    Google Scholar 

  • Feldbaum, A. A. (1962). Foundations of the theory of optimal control systems (in Russian: Osnovy teorii optimalnych avtomaticheskikh sistem ). Nauka, Moscow.

    Google Scholar 

  • Fisher, W. F. (1979). Utility models for multiple objective decisions: Do they accu- rately represent human preferences? Decision Sciences, Vol. 10, pp. 451–477.

    Google Scholar 

  • Ginzberg M. J. and Stohr E. A. (1982). Decision Support Systems: Issues and Perspectives. In: Ginzberg, M. J., Reitman, W. R. and Stohr, E. A. Eds.: Decision Support Systems, Proceedings of the NYU Symposium on Decision Support Systems, New York, 21–22 May, 1981.

    Google Scholar 

  • Glushkov, V. M. (1972). Basic principles of automation in organizational management systems (in Russian). Upravlayushcheye Sistemy i Mashiny 1.

    Google Scholar 

  • Grauer, M., Lewandowski, A., and Wierzbicki, A. P. (1984). DIDAS — theory, implementation and experiences. In: Grauer, M. and Wierzbicki, A. P. Eds: Interactive Decision Analysis, Proceedings, Laxenburg, Austria, 1983. Lecture Notes in Economics and Mathematical Systems, Vol. 229. Springer Verlag, Berlin.

    Chapter  Google Scholar 

  • Gray, P. (1986). Group Decision Support Systems. In: McLean E. and Sol, H. G. Eds: Decision Support Systems: A Decade in Perspective, Proceedings of the IFIP WG 8.3 Working Conference on Decision Support Systems, Noordwijkerhout, The Netherlands.

    Google Scholar 

  • Horsky, D. (1984). Estimation of attribute weights from preference comparisons. Management Science Vol. 30, No. 7, July 1984.

    Google Scholar 

  • Ignizio, J. P. (1978). Goal programming — a tool for multiobjective analysis. Journal for Operational Research29, pp. 1109–1119.

    Google Scholar 

  • Jacquet-Lagreze, E. and Shakun, M. F. (1984). Decision Support Systems for Semi-Structured Buying Decisions. European Journal of Operational Research, Vol. 16, pp. 48–58.

    Google Scholar 

  • Jarke, M. (1986). Group Decision Support through Office Systems: Developments in Distributed DSS Technology. In: McLean, E. and Sol, H. G. Eds: Decision Support Systems: A Decade in Perspective, Proceedings of the IFIP WG 8.3 Working Conference on Decision Support Systems, Noordwijkerhout, The Netherlands.

    Google Scholar 

  • Katoh, N. (1987). An efficient algorithm for bicriteria minimum-cost circulation problem. Working Paper WP-87–98, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Katoh, N. (1987). An efficient algorithm for a bicriteria single-machine scheduling problem. Working Paper WP-87–100, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Keen, P. G. W and Scott Morton, M. S. (1978). Decision Support Systems — An Organizational Perspective. Addison-Wesley Series on Decision Support.

    Google Scholar 

  • Keeney, R. L. and Raiffa, H. (1976). Decisions with Multiple Objectives: Preferences and Value Tradeoffs, Willey, New York, 1976.

    Google Scholar 

  • Korhonen, P., and Laakso, J. (1986). Solving a generalized goal programming problem using a visual interactive approach. European Journal of Operational Research, 26, pp. 355–363.

    Article  Google Scholar 

  • Kurzhanski, A. (1986). Inverse problems in multiobjective dynamic optimization. In: Toward Interactive and Intelligent Decision Support Systems, Proceedings, Kyoto, Japan, 1986, Y. Sawaragi, K. Inoue and H. Nakayama, Eds. Kurzhanski, A. 286, Springer-Verlag.

    Google Scholar 

  • Larichev, O. (1987). New directions in multicriteria decision making research. Working Paper WP-87–67, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Lewandowski, A., Rogowski, T. and Kreglewski T. (1985). A trajectory-oriented extension of DIDAS and its application. In: Grauer, M., Thompson, M., Wierzbicki, A. P. Eds: Plural Rationality and Interactive Decision Processes. Proceedings, Sopron, Hungary, 1984. Lecture Notes in Economics and Mathematical Systems, Vol. 248. Springer-Verlag, Berlin.

    Google Scholar 

  • Lewandowski, A., Johnson, S. and Wierzbicki, A. P. (1986). A prototype selection committee decision analysis and support system, SCDAS: theoretical background and computer implementation. Working Paper WP-86–27, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Lewandowski, A. and A.P. Wierzbicki (1987). Interactive decision support systems — the case of discrete alternatives for committee decision making. Working Paper WP-87–38, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Lewandowski, A. (1988). SCDAS — decision support system for group decision making: information processing issues. Working Paper WP-88–48, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Michalevich, M. V. (1986). Stochastic approaches to interactive multicriteria optimization problems. Working Paper WP-86–10, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Naisbit, J. (1984). Megatrends. H. Mifflin, New York.

    Google Scholar 

  • Nakayama, H. and Sawaragi, Y. (1983). Satisficing trade-off method for multiobjective programming. In: Grauer, M. and Wierzbicki, A. P. Eds: Interactive Decision Analysis, Springer-Verlag, Berlin-Heidelberg.

    Google Scholar 

  • Nakayama, H. (1986). Geometrical approach to Iserman duality in linear vector optimization. Collaborative Paper CP-86–02, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • OPTIONS (1987). Decision Support Systems, No. 3–4, 1987. International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Parker, B. J. and Al-Utabi, G. A. (1986). Decision support systems. The reality that seems to be hard to accept? OMEGA Int. Journal of Management Science, Vol. 14, No. 2, 1986.

    Google Scholar 

  • Pospelov, G. S. and Irikov, V. A. (1976). Program-and Goal Oriented Planning and Management (in Russian). Sovietskoye Radio, Moscow.

    Google Scholar 

  • Rappoport, A. (1984). The uses of experimental games. In: Grauer, M., Thompson, M., Wierzbicki, A. P. Eds: Plural Rationality and Interactive Decision Processes. Proceedings, Sopron, Hungary, 1984. Lecture Notes in Economics and Mathematical Systems, Vol. 248. Springer-Verlag, Berlin.

    Google Scholar 

  • Roy, B. (1971). Problems and methods with multiple objective functions, Math. Programming, Vol. 1, pp. 233–236.

    Article  Google Scholar 

  • Saari, D. (1982). Inconsistencies of weighted Voting Systems. Math. of Operations Res., Vol. 7.

    Google Scholar 

  • Saari, D. (1987). Symmetry and extensions of Arrow’s theorem. Working Paper WP-87–109, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Saaty, T. L. (1982). Decision Making for Leaders: The Analytical Hierarchy Process for Decisions in a Complex World, Lifetime Learning Publ., Belmont.

    Google Scholar 

  • Sage, A. P. (1981). Behavioural and organizational considerations in the design of information systems and processes for planning and decision support. IEEE Trans. Systems and Cybernetics, Vol. SMC-11, No. 9, September 1981.

    Google Scholar 

  • Sakawa, M. and H. Yano (1987). An interactive fuzzy satisficing method using augmented minimax problems and its application to environmental systems. Research Report RR-87–14, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Sawaragi, Y., H. Nakayama and T. Tanino (1985). Theory of Multiobjective Optimization. Academic Press.

    Google Scholar 

  • Seo, F. and M. Sakawa (1987). Fuzzy multiattribute utility analysis for collective choice. Research Report RR-87–13, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Simon, H. (1958). Administrative Behaviour, McMillan, New York.

    Google Scholar 

  • Sprague, R. H. and Carlson, C. Eds. (1982). Building Effective Decision Support Systems. Prentice Hall, Inc.

    Google Scholar 

  • Stabel C. B. (1986). Decision Support Systems: Alternative Perspectives and Schools. In: McLean, E. and Sol, H. G. Eds: Decision Support Systems: A Decade in Perspective, Proceedings of the IFIP WG 8.3 Working Conference on Decision Support Systems, Noordwijkerhout, The Netherlands.

    Google Scholar 

  • Steuer, R., and Cho., E. V. (1983). An interactive weighted Chebyshev procedure for multiple objective programming Mathematical Programming 26, pp. 326–344.

    Article  Google Scholar 

  • Tanino, T. (1986). Sensitivity analysis in multiobjective optimization. Working Paper WP-86–05, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Tanino, T. (1986). Stability and sensitivity analysis in convex vector optimization. Working Paper WP-86–15, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Tversky, A., Kaheman, D. and Slovic, P. (1983). Judgement Under Uncertainty: Heuristic and Biases, Cambridge University Press.

    Google Scholar 

  • Valyi, I. (1986). On approximate vector optimization. Working Paper WP-86–07, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Valyi, I. (1987). Epsilon solution and duality in vector optimization. Working Paper WP-87–43, International Institute for Applied Systems Analysis, Laxenburg, Austria.

    Google Scholar 

  • Vlacic, Lj., Matic, B. and Wierzbicki, A. P. (1986). Aggregation Procedures for Hierarchically Grouped Decision Attributes with Application to Control System Performance Evaluation. International Conference on Vector Optimization, Darmstadt, 1986.

    Google Scholar 

  • Wierzbicki, A. P. (1980). The use of reference objectives in multiobjective optimization. In: Fandel, G. and Gal, T. Eds: Multiple Criteria Decision Making, Theory and Applications. Springer Verlag, Heidelberg.

    Google Scholar 

  • Wierzbicki, A. P. (1982). A mathematical basis for satisfying decision making. Math. Modelling, Vol. 3, pp. 391–405.

    Google Scholar 

  • Wierzbicki, A. P. (1983a). Negotiation and mediation in conflicts: The role of mathematical approaches and methods. In: Chestnut, H. et al., Eds: Supplemental Ways to Increase International Stability. Pergamon Press, Oxford, 1983.

    Google Scholar 

  • Wierzbicki, A. P. (1983b). Critical essay on the methodology of multiobjective analysis. Regional Science and Urban Economics, Vol. 13, pp. 5–29.

    Google Scholar 

  • Wierzbicki, A. P. (1984a). Models and Sensitivity of Control Systems. Elsevier, Amsterdam, 1984.

    Google Scholar 

  • Wierzbicki, A. P. (1984b). Interactive decision analysis and interpretative computer intelligence. In: Grauer, M. and Wierzbicki, A. P. Eds: Interactive Decision Analysis, Proceedings, Laxenburg, Austria, 1983. Lecture Notes in Economics and Mathematical Systems, Vol. 229. Springer Verlag, Berlin.

    Google Scholar 

  • Wierzbicki, A. P. (1985). Negotiation and mediation in conflicts: Plural rationality and interactive decision processes. In: Grauer, M., Thompson M. and Wierzbicki A. P., Eds: Plural Rationality and Interactive Decision Processes, Proceedings, Sopron, 1984. Lecture Notes in Economics and Mathematical Systems, Vol. 248. Springer Verlag, Berlin.

    Google Scholar 

  • Wierzbicki, A. P. (1986). On the completeness and constructiveness of parametric characterizations to vector optimization problems. OR-Spektrum, Vol. 8, pp. 7387.

    Google Scholar 

  • Wynne, B. (1982). Decision support systems — a new plateau of opportunity or more emperor’s clothing? INTERFACES, Vol. 12, No. 1, February 1982.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Lewandowski, A., Wierzbicki, A.P. (1989). Decision Support Systems Using Reference Point Optimization. In: Lewandowski, A., Wierzbicki, A.P. (eds) Aspiration Based Decision Support Systems. Lecture Notes in Economics and Mathematical Systems, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-21637-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-21637-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51213-4

  • Online ISBN: 978-3-662-21637-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics