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A Survey of Integrated Group Decision Support Systems Involving Multiple Criteria

  • Peri H. Iz
  • Lorraine R. Gardiner

Abstract

This paper surveys group decision support systems which use multiple criteria decision making tools in generating alternative solutions and/or resolving conflict among the parties involved in reaching a compromise. Two dimensions are considered in the analysis of the existing systems; the particular multiple criteria decision technique used to generate decision alternatives or to choose from a given set, and the method used to facilitate individual compromise and group consensus. The focus of the survey is on cooperative multiple criteria decision problems. Finally, a recapitulation of the survey is provided to detect the underlying trends in the design of existing integrated systems.

Keywords

Analytic Hierarchy Process Group Decision Multiple Criterion Multiple Criterion Decision Group Decision Support System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Arrow, K. J. (1951). Social Choice and Individual Values, New York: Wiley.MATHGoogle Scholar
  2. Bard, J.F. and S.F. Sousk (1990). “A Tradeoff Analysis for Rough Terrain Cargo Handlers Using the AHP: An Example of Group Decision Making,” IEEE Transactions on Engineering Management, Vol. 33, No. 3, pp. 222–227.CrossRefGoogle Scholar
  3. Beck, MP. and B.W. Lin (1983). “Some Heuristics for the Consensus Ranking Problem, ” Computers and Operations Research, Vol. 10, No. l, pp. 1–7.CrossRefGoogle Scholar
  4. Belton, V. and S. P. Vickers (1989). “VISA - VIM for MCDA, ” in Improving Decision Making in Organizations, A. G. Lockett and G. Islei (eds.), Springer-Verlag, Berlin, pp. 287–304.Google Scholar
  5. Benayoun, R., J. de Montgolfíer, J. Tergny and O. Larichev (1971). “Linear Programming with Multiple Objective Functions: Step Method (STEM), ” Mathematical Programming, Vol. 1, No. 3, pp. 366–375.MathSciNetMATHCrossRefGoogle Scholar
  6. Buchanan, J. (1991). “A Two-phase interactive solution method for multiple objective programming problems, ” IEEE Transactions on Systems, Man and Cybernetics, Vol. 21, No. 4, pp. 743–49.MathSciNetCrossRefGoogle Scholar
  7. Bui, T. X. (1987). Co-oP: A Group Decision Support System for Cooperative Multiple Criteria Group Decision Making, Springer-Verlag, Berlin.MATHGoogle Scholar
  8. Bui, T. X. and M. Jarke (1984). “A DSS for Cooperative Multiple Criteria Group Decision Making,” Proceedings of the 5th International Conference on Information Systems, Tucson, AZ, pp. 101–113.Google Scholar
  9. Cook, W.D. and M. Kress (1985). “Ordinal Ranking with Intensity of Preference, ” Management Science, Vol, 31, No. l, pp. 26–32.MathSciNetMATHCrossRefGoogle Scholar
  10. Cook, W.D. and L.M. Seiford (1978). “Priority Ranking and Consensus Formation, ” Management Science, Vol. 24, No. 16, pp. 1721–1732.MATHCrossRefGoogle Scholar
  11. Dalkey, N.C. (1967). Delphi, Rand Corporation.Google Scholar
  12. Delbecq, A. L., and A.H. Van de Ven (1971). “A Group Process Model for Problem Identification and Program Planning, ” Journal of Applied Behavioral Sciences, Vol. 7, No. 4.Google Scholar
  13. DeSanctis, G. and R. B. Gallupe (1987). “A Foundation for the Study of Group Decision Support Systems” Management Science, Vol. 33, No. 5, pp. 589–609.CrossRefGoogle Scholar
  14. Evans, G. W. (1984). “An Overview of Techniques for Solving Multiobjective Mathematical Programs, ” Management Science, Vol. 30, No. 11, pp. 1268–1282.MathSciNetMATHCrossRefGoogle Scholar
  15. Franz, L.S., Reeves, G.R., and J.J. Gonzales (1986). “An Interactive Approach to Multiple Objective Multiple Decision Maker Problems, ” in Toward Interactive and Intelligent Decision Support Systems, ( Y. Sawaragi, K. Inoue and H. Nakayama, eds), Springer-Verlag, Berlin, pp. 172–181.Google Scholar
  16. Gear, T. and M. Read (1989). “On-Line Group Decision Support, ” in Improving Decision Making in Organizations, A. G. Lockett and G. Islei (Eds.), Springer-Verlag, Berlin, pp. 124–133.Google Scholar
  17. Gray, P. (1987). “Group Decision Support Systems, ” Decision Support Systems, Vol. 3, No. 3, pp. 233–242.CrossRefGoogle Scholar
  18. Guilbold, G.T. (1966). “Theories of the General Interest, and the Logical Problem of Aggregation, ” in P.F. Lazarsfeld and N.W. Henry (eds.), Readings in Mathematical Social Science, Chicago: Science Research Associates, Inc., pp. 262–307.Google Scholar
  19. Huber, G. P. (1984). “Issues in the Design of Group Decision Support Systems, ” MIS Quarterly, Vol. 8, No. 3, pp. 195–204.CrossRefGoogle Scholar
  20. Hwang, C.L. and M.J. Lin (1987). Group Decision Making under Multiple Criteria: Methods and Applications, Berlin. Springer-Verlag.Google Scholar
  21. Islei, G. and A.G. Lockett (1988). “Judgemental Modelling Based on Geometric Least Squares, ” European Journal of Operational Reasearch, Vol. 36, No. l, pp. 27–35.MathSciNetMATHCrossRefGoogle Scholar
  22. Islei, G. and G. Lockett (1991). “Group Decision Making: Suppositions and Practice, ” Socio-Economic Planning Sciences, Vol. 25, No. 1, pp. 67–81.CrossRefGoogle Scholar
  23. Islei, G., G. Lockett, B. Cox, S. Gisbourne and M. Stafford (1991). “Modeling Strategic Decision Making and Performance Measurements at ICI Pharmaceuticals, ” Interfaces, Vol. 21, No. 6, pp. 4–22.CrossRefGoogle Scholar
  24. Iz, P.H. (1992a). “Two Multiple Criteria Group Decision Support Systems Based on Mathematical Programming and Ranking Methods, ” EJOR, European Journal of Operational Research, 61, No. 1, pp. 245–253.MATHCrossRefGoogle Scholar
  25. Iz, P.H. (1992b). “An Experimental Assessment of Preference Aggregation in a Group Decision Support System Based on Multiple Criteria Optimization, ” Proceedings of the 25th Hawaii International Conference on System Sciences, Computer Society Press of the IEEE, pp. 185–189.Google Scholar
  26. Iz, P.H. and L. Krajewski (1992). “Comparative Evaluation of Three Interactive Multiobjective Programming Techniques as Group Decision Support Tools, ” INFOR, Information Systems and Operational Research, Vol. 30, No. 40, pp. 349–363.MATHGoogle Scholar
  27. Iz, P.H. and M.T. Jelassi (1990). “An Interactive Group Decision Aid for Multiobjective Problems: An Empirical Assessment, ” OMEGA, International Journal of Management Science, Vol. 18, No. 6, pp. 595–604.CrossRefGoogle Scholar
  28. Keeney, R. L. and H. Raiffa (1976). Decisions with Multiple Objectives: Preferences and Value Tradeoffs, New York: Wiley.Google Scholar
  29. Kok, M. and F. A. Lootsma (1985). Pairwise-Comparison Methods in Multiple Objective Programming with Applications in a Long-Term Energy-Planning Model, European Journal of Operational Research, Vol. 22, No.l, pp. 44–55.Google Scholar
  30. Kok, M. (1986). “The Interface with Decision Makers and Some Experimental Results in Interactive Multiple Objective Programming Methods”,European Journal of Operational Research, No. 26, No. 1, pp. 96–107.Google Scholar
  31. Korhonen, P. and J. Laakso (1986). “A Visual Interactive Method for Solving the Multiple Criteria Problem” European Journal of Operational Research, Vol. 24, No. 2, pp. 288–294.MathSciNetCrossRefGoogle Scholar
  32. Korhonen, P., H. Moskowitz, J. Wallenius and S. Zionts (1986). “An Interactive Approach to Multiple Criteria Optimizaiton with Multiple Decision-Makers, ” Naval Research Logistics Quarterly, Vol. 33, pp. 589–602.MATHCrossRefGoogle Scholar
  33. Korhonen, P. and J. Walllenius (1990). “Supporting Individuals in Group Decision Making, ” Theory and Decision, Vol. 28, pp. 313–329.CrossRefGoogle Scholar
  34. Lewandowski, A. (1989). “SCDAS - Decision Support System for Group Decision Making: Decision Theoretic Framework, ” Decision Support Systems, Vol. 5, No. 4, pp. 403–423.CrossRefGoogle Scholar
  35. Lockett, A.G., A.P. Muhleman and A.E. Gear (1981). “Group Decision Making and Multiple Criteria - A Documented Application, ” in Organizations: Multiple Agents with Multiple Criteria, J. N. Morse, (Ed), Berlin, Springer-Verlag, Vol. 190, pp. 205–221.Google Scholar
  36. Lootsma, F. A., P. G. M. Boonekamp, R. M. Cooke, and F. Van Oostvoorn (1990). “Choice of a Long-Term Strategy for the National Electricity Supply via Scenario Analysis and Multi-Criteria Analysis, ”. European Journal of Operational Research, Vol. 48, No. 2, pp. 189–203.Google Scholar
  37. Nakayama, H. and Y. Sawaragi (1984). “Satisficing Trade-Off Method for Multiobjective Programming, ” Lecture Notes in Economics and Mathematical Systems, Vol1273, Springer-Verlag, Berlin, pp. 113–122.Google Scholar
  38. Nakayama, H., T. Tanino, K. Matsumoto, H. Matsuo, K. Inoue, and Y. Sawaragi (1979). “Methodology for Group Decision Support with an Application to Assessment of Residential Environment, ” IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-9, No. 9, pp. 477–485.Google Scholar
  39. Reeves, G. R. and L.S. Franz (1985). “A Simplified Interactive Multiple Objective Linear Programming Procedure, ” Computers and Operations Research, Vol. 12, No. 6, pp. 589–601.MATHCrossRefGoogle Scholar
  40. Roy. B. (1968). “Classement et Choix en Presence de Points de Vue Multiples la Methode ELECTRE), ” R.I.R.O., pp. 57–75.Google Scholar
  41. Saaty, T.L. (1980). The Analytic Hierarchy Process, McGraw-Hill, NY.MATHGoogle Scholar
  42. Spronk, J. (1981). Interactive Multiple Goal Programming: Applications to Financial Planning, Nijhof, Boston.Google Scholar
  43. Stam, A. and L. R. Gardiner (1992). “A Multiple Objective Marketing-Manufacturing Approach for Order (Market) Selection, ” Computers and Operations Research, (forthcoming).Google Scholar
  44. Steuer, R. E. (1986). Multiple Criteria Optimization: Theory, Computation, and Application, John Wiley & Sons, New York.Google Scholar
  45. Steuer, R.E. and E.U. Choo (1983). “An Interactive Weighted Tchebycheff Procedure for Multiple Objective Programming, ” Mathematical Programming, Vol. 26, pp. 326–344.MathSciNetMATHCrossRefGoogle Scholar
  46. Tapia, C. G. and B. A. Murtagh (1992). “Interactive Group Decision-Making Using Fuzzy Programming with Preference Criteria, ” Fuzzy Sets and Systems, Vol. 45, No. 1, pp. 13–24.MathSciNetMATHCrossRefGoogle Scholar
  47. Tapia, C. G. and B. A. Murtagh (1989). “The Use of Preference Criteria in Interactive Multiobjective Mathematical Programming, ” Asia-Pacific Journal of Operational Research, Vol. 6, No. 2, pp. 131–147.Google Scholar
  48. Vetschera, R. (1991). “Integrating Databases and Preference Evaluations in Group Decision Support: A Feedback-Oriented Approach, ” Decision Support Systems, Vol. 7, No. 1, pp. 67–77.CrossRefGoogle Scholar
  49. Wallenius, J. (1975). “Comparative Evaluation of Some Interactive Approaches to Multicriterion Optimization, ” Management Science, Vol. 21, pp. 1387–1396.MATHCrossRefGoogle Scholar
  50. Wierzbicki, A. P. (1982). “A Mathematical Basis for Satisficing Decision Making, ” Mathematical Modelling, Vol. 3, pp. 391–405.MathSciNetMATHCrossRefGoogle Scholar
  51. Yu, P.-L. (1985). Multiple-Criteria Decision Making: Concepts, Techniques and Extension, Plenum Press, New York.Google Scholar
  52. Zeleny, M. (1982). Multiple Criteria Decision Making, McGraw-Hill, New York.MATHGoogle Scholar
  53. Zionts, S. (1981). “A Multiple Criteria Method for Choosing Among Discrete Alternatives, ” European Journal of Operational Research, Vol. 7, No. 2, pp. 143–147.MathSciNetMATHCrossRefGoogle Scholar
  54. Zionts, S. (1989). “Multiple Criteria Mathematical Programming: An Updated Overview and Several Approaches, ” in Multiple Criteria Decision Making and Risk Analysis Using Microcomputers, B. Karpak and S. Zionts (Eds.), Springer-Verlag, Berlin, pp. 7–60.Google Scholar
  55. Zionts, S. and J. Wallenius (1976). “An Interactive Programming Method for Solving the Multiple Criteria Problem, ” Management Science, Vol. 22, No. 6, pp. 652–663.MATHCrossRefGoogle Scholar
  56. Zionts, S. and J. Wallenius (1983). “An Interactive Multiple Objective Linear Programming Method for a Class of Underlying Nonlinear Utility Functions, ” Management Science, Vol. 29, No. 5, pp. 519–520.MathSciNetMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag New York, Inc. 1994

Authors and Affiliations

  • Peri H. Iz
    • 1
  • Lorraine R. Gardiner
    • 2
  1. 1.Information and Quantitative SciencesRobert G. Merrick School of Business University of BaltimoreBaltimoreUSA
  2. 2.Department of ManagementCollege of Business Auburn UniversityAuburnUSA

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