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A framework for participatory decision support using Pareto frontier visualization, goal identification and arbitration

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  • Efremov, Roman
  • Insua, David Rios
  • Lotov, Alexander

Abstract

There is a growing interest in promoting participation of lay stakeholders in public decision-making processes, possibly with the aid of Internet-based systems. This implies supporting non-sophisticated users and, consequently, developing user-friendly, yet rigorous, participatory decision support methods. We outline a framework to develop such methods based on interactive Pareto frontier visualization combined with expression of preferences in terms of feasible goals and using feasible goal-based arbitration.

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  • Efremov, Roman & Insua, David Rios & Lotov, Alexander, 2009. "A framework for participatory decision support using Pareto frontier visualization, goal identification and arbitration," European Journal of Operational Research, Elsevier, vol. 199(2), pages 459-467, December.
    • Handle: RePEc:eee:ejores:v:199:y:2009:i:2:p:459-467
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    References listed on IDEAS

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    1. Thomson, William, 1994. "Cooperative models of bargaining," Handbook of Game Theory with Economic Applications, in: R.J. Aumann & S. Hart (ed.), Handbook of Game Theory with Economic Applications, edition 1, volume 2, chapter 35, pages 1237-1284, Elsevier.
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    1. Thierry Petit & Andrew C. Trapp, 2019. "Enriching Solutions to Combinatorial Problems via Solution Engineering," INFORMS Journal on Computing, INFORMS, vol. 31(3), pages 429-444, July.
    2. Gomez, J. & Insua, D. Rios & Alfaro, C., 2016. "A participatory budget model under uncertainty," European Journal of Operational Research, Elsevier, vol. 249(1), pages 351-358.
    3. Roman V. Efremov & Alexander V. Lotov, 2014. "Multi-criteria Remote Asynchronous Group Decision Screening: An Experimental Study," Group Decision and Negotiation, Springer, vol. 23(1), pages 31-48, January.
    4. Zio, E. & Bazzo, R., 2011. "Level Diagrams analysis of Pareto Front for multiobjective system redundancy allocation," Reliability Engineering and System Safety, Elsevier, vol. 96(5), pages 569-580.
    5. Romero-Silva, Rodrigo & Shaaban, Sabry & Marsillac, Erika & Laarraf, Zouhair, 2021. "The impact of unequal processing time variability on reliable and unreliable merging line performance," International Journal of Production Economics, Elsevier, vol. 235(C).
    6. Balderas, Fausto & Fernández, Eduardo & Cruz-Reyes, Laura & Gómez-Santillán, Claudia & Rangel-Valdez, Nelson, 2022. "Solving group multi-objective optimization problems by optimizing consensus through multi-criteria ordinal classification," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1014-1029.
    7. Chao, Xiangrui & Kou, Gang & Peng, Yi & Viedma, Enrique Herrera, 2021. "Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: An application in financial inclusion," European Journal of Operational Research, Elsevier, vol. 288(1), pages 271-293.
    8. Tang, Ming & Liao, Huchang & Xu, Jiuping & Streimikiene, Dalia & Zheng, Xiaosong, 2020. "Adaptive consensus reaching process with hybrid strategies for large-scale group decision making," European Journal of Operational Research, Elsevier, vol. 282(3), pages 957-971.
    9. Eduardo Fernández & Claudia Gómez-Santillán & Nelson Rangel-Valdez & Laura Cruz-Reyes, 2022. "Group Multi-Objective Optimization Under Imprecision and Uncertainty Using a Novel Interval Outranking Approach," Group Decision and Negotiation, Springer, vol. 31(5), pages 945-994, October.
    10. Zhang, Hengjie & Dong, Yucheng & Chiclana, Francisco & Yu, Shui, 2019. "Consensus efficiency in group decision making: A comprehensive comparative study and its optimal design," European Journal of Operational Research, Elsevier, vol. 275(2), pages 580-598.
    11. Walczak, Dariusz & Rutkowska, Aleksandra, 2017. "Project rankings for participatory budget based on the fuzzy TOPSIS method," European Journal of Operational Research, Elsevier, vol. 260(2), pages 706-714.

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