Journal of the Korean Operations Research and Management Science Society (한국경영과학회지)

The Korean Operations Research and Management Science Society (한국경영과학회)
권호 표지

A Multi-Objective Decision Making Procedure for Web-based GDSS

웹기반 그룹의사결정지원시스템을 위한 다목적 의사결정 알고리즘 개발

  • Kim, Jae-Kyeong (School of Business Administration, KyungHee University) ;
  • Cho, Yoon-Ho (Dep. of Internet Information Systems, DongYang Technical College)
  • Published : 2002.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

This research suggests an interactive methodology for multiple objective linear programming problems to help the group select a compromising solution in the World Wide Web environment. Our methodology lessens the burden of group decision makers, which is one of necessary conditions of the web environment. Only the partial weak order of variables and objectives from the group decision makers are enough for searching the best compromising solution. For such a purpose, we expand the Dror and Gass algorithm to the group decision context. And we suggest the system architecture of a web-based GDSS for the Implementation of our methodology.

Keywords

References

  1. Cornputers and Operations Research v.10 no.1 Some heuristics for the consensus ranking problem Beck, M.P.;B.W. Lin https://doi.org/10.1016/0305-0548(83)90021-7
  2. Management Science v.31 no.1 Oridinal ranking with intensity of preference Cook, W.D.;M. Kress https://doi.org/10.1287/mnsc.31.1.26
  3. Journal of the Operational Research Society v.41 no.12 An mth Generation Model for Weak Ranking of Players in a Tournament Cook, W.D.;M. Kress
  4. Group Decision and Negotiation v.7 Multiple criteria decision making models in group decision support Davey, A.;D. Olson https://doi.org/10.1023/A:1008675230233
  5. Applied Mathematics and Computation v.24 Interactive scheme for a MOLP problem given two partial orders : one on variables and one on objectives Dror, M.;S.I. Gass https://doi.org/10.1016/0096-3003(87)90084-1
  6. European Journal of Operational Research v.34 Experiments with an interactive procedure for the MOLP given weak orders on variables and objectives Dror, M.;S.I. Gass;A. Yellin https://doi.org/10.1016/0377-2217(88)90457-2
  7. Mathematical Programming v.14 Finding all efficient extreme points for multiple objective linear programming Ecker, J.G.;I.A. Kouada https://doi.org/10.1007/BF01588968
  8. Computers and Operations Research v.19 no.7 Group decision processes : MOLP procedures facilitating group and individual decision orientation Franz, L.S.;G.R. Reeves;J.J. Gonzalez https://doi.org/10.1016/0305-0548(92)90038-7
  9. INFOR v.30 no.4 Comparative evaluation of three interactive multiobjective programming techniques as group decision support tools Iz, P.;L. Krajewski
  10. Information and Management v.8 NEGO-Group decision support system Kersten, G.E. https://doi.org/10.1016/0378-7206(85)90001-1
  11. Naval Research Logistics Quarterly v.33 An interactive approach to multiple crieria optimization with multiple decision-makers Korhonen, P.;H. Moskowitz,;J. Wallenius;S. Zionts https://doi.org/10.1002/nav.3800330405
  12. Decision Science v.24 no.1 An interactive framework for multi-person, multi-objective decisions Lewis, H.S.;T.W. Butler https://doi.org/10.1111/j.1540-5915.1993.tb00459.x
  13. Decision Support Systems v.5 SCDAS Decision support system for group decision making : decision theoretic framework Lewandowski, A. https://doi.org/10.1016/0167-9236(89)90019-5
  14. Coputers and Operations Research v.27 Interactive multiobjective optimization system WWW-NIMBUS on the Internet Miettinen, K.;M.M. Mkel https://doi.org/10.1016/S0305-0548(99)00115-X
  15. Management Science v.37 no.10 Computer support of groups : Theory-based models for GDSS research Rao, V.S.;S.L. Jarvenpaa https://doi.org/10.1287/mnsc.37.10.1347
  16. Computers and Operations Research v.12 no.6 A simplified interactive multiple objective linear programming procedure Reeves, G.R.;L.S. Franz https://doi.org/10.1016/0305-0548(85)90056-5
  17. Group Decision and Negotiation v.7 CONFIDE : A collective decison-making procedure using confidence estimates of individual judgements Slevin, D.P.;L.W. Boone;E.M. Russo;R.S. Allen https://doi.org/10.1023/A:1008650524782
  18. JAVA FOUNDATION CLASSES : NOW AND THE FUTURE Sun Microsystems
  19. Mathematical Programming v.26 no.3 An interactive weighted Tchebycheff procedure for multiple objective programming Steuer, R.E.;E.U. Choo https://doi.org/10.1007/BF02591870
  20. Multiple Criteria Optimization : Theory, Computation, and Application Steuer, R.E.
  21. European Journal of Operational Research v.113 Evaluation and refinement of aspiration-based methods in MCDM Stewart, T.J. https://doi.org/10.1016/S0377-2217(98)00142-8
  22. IEEE Transactions on Systems, Man, and Cybernetics v.19 no.1 Group decision support with MOLP applications Wang, H.F.;S.Y. Shen https://doi.org/10.1109/21.24546
  23. Operational Research v.28 no.5 Multiple objective mathematical programming with respect to multiple decision makers Wendell, R.E. https://doi.org/10.1287/opre.28.5.1100
  24. Management Science v.22 no.6 An interactive programming method for solving the multiple criteria problem Zionts, S.;J. Wallenius https://doi.org/10.1287/mnsc.22.6.652