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A Bi-Reference Procedure for Interactive Multiple Criteria Programming

Author

Listed:
  • Wojtek Michalowski

    (Carleton University, Ottawa, Ontario, Canada)

  • Tomek Szapiro

    (Central School of Planning and Statistics, Warsaw, Poland)

Abstract

The paper presents an interactive procedure to search the set of nondominated outcomes of a multiple criteria linear programming problem. The procedure requires the decision maker to specify the worst outcome. Then, the ideal outcome is identified, and the improvement direction from the worst to ideal outcomes is constructed. A trial solution is found by moving from a current solution along the improvement direction, while maximizing the step size. For a trial solution, the decision maker is requested to partition the set of objective functions into three categories: those to be improved, those which may remain unchanged, those which may be relaxed. Based on this partition, the procedure displaces the worst and ideal outcomes, calculates the new improvement direction, and the entire process is repeated. The method terminates when two successive trial solutions are reasonably similar.

Suggested Citation

  • Wojtek Michalowski & Tomek Szapiro, 1992. "A Bi-Reference Procedure for Interactive Multiple Criteria Programming," Operations Research, INFORMS, vol. 40(2), pages 247-258, April.
  • Handle: RePEc:inm:oropre:v:40:y:1992:i:2:p:247-258
    DOI: 10.1287/opre.40.2.247
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    Citations

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    Cited by:

    1. Kaliszewski, Ignacy & Michalowski, Wojtek, 1999. "Searching for psychologically stable solutions of multiple criteria decision problems," European Journal of Operational Research, Elsevier, vol. 118(3), pages 549-562, November.
    2. Nowak, Maciej, 2007. "Aspiration level approach in stochastic MCDM problems," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1626-1640, March.
    3. Tadeusz Trzaskalik, 2023. "Vectors of indicators and pointer function in the Multistage Bipolar Method," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(3), pages 791-816, September.
    4. Tomasz Szapiro & Przemysław Szufel, 2014. "Simulated Negotiation Outcomes Through Recommendation Crowding," Group Decision and Negotiation, Springer, vol. 23(3), pages 443-461, May.
    5. Tadeusz Trzaskalik, 2022. "Multiobjective dynamic programming in bipolar multistage method," Annals of Operations Research, Springer, vol. 311(2), pages 1259-1279, April.
    6. Sun, Minghe, 2005. "Some issues in measuring and reporting solution quality of interactive multiple objective programming procedures," European Journal of Operational Research, Elsevier, vol. 162(2), pages 468-483, April.
    7. Buchanan, John & Gardiner, Lorraine, 2003. "A comparison of two reference point methods in multiple objective mathematical programming," European Journal of Operational Research, Elsevier, vol. 149(1), pages 17-34, August.
    8. Piotr Wojewnik & Tomasz Szapiro, 2010. "Bireference Procedure fBIP for Interactive Multicriteria Optimization with Fuzzy Coefficients," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 2(3), pages 169-193, June.
    9. Tadeusz Trzaskalik & Sebastian Sitarz & Cezary Dominiak, 2019. "Bipolar method and its modifications," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(3), pages 625-651, September.
    10. Roszkowska, Ewa & Wachowicz, Tomasz, 2015. "Application of fuzzy TOPSIS to scoring the negotiation offers in ill-structured negotiation problems," European Journal of Operational Research, Elsevier, vol. 242(3), pages 920-932.
    11. Aksoy, Yasemin & Butler, Timothy W. & Minor, Elliott D., 1996. "Comparative studies in interactive multiple objective mathematical programming," European Journal of Operational Research, Elsevier, vol. 89(2), pages 408-422, March.
    12. I. Kaliszewski & W. Michalowski, 1998. "Establishing Regret Attitude of a Decision Maker within the MCDM Modeling Framework," Working Papers ir98070, International Institute for Applied Systems Analysis.
    13. Koronakos, Gregory & Sotiros, Dimitris & Despotis, Dimitris K. & Kritikos, Manolis N., 2022. "Fair efficiency decomposition in network DEA: A compromise programming approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    14. P. Korhonen, 1998. "Multiple Objective Programming Support," Working Papers ir98010, International Institute for Applied Systems Analysis.
    15. Kaliszewski, Ignacy, 2004. "Out of the mist--towards decision-maker-friendly multiple criteria decision making support," European Journal of Operational Research, Elsevier, vol. 158(2), pages 293-307, October.

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