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The Analysis of Interconnected Decision Areas: A Computational Approach to Finding All Feasible Solutions

Author

Listed:
  • Ion Georgiou

    (Fundação Getulio Vargas (FGV), Escola de Administração de Empresas de São Paulo (EAESP))

  • Joaquim Heck

    (Fundação Getulio Vargas (FGV), Escola de Administração de Empresas de São Paulo (EAESP))

  • Andrej Mrvar

    (University of Ljubljana)

Abstract

This paper provides a method for finding the complete set of feasible solutions to a problematic situation, whose structure is that of a network amenable to the analytical approach known as “analysis of interconnected decision areas”, or AIDA. In doing so, the paper not only resolves a long-standing computational problem, but also offers means for examining all solutions in either lists or diagrams, thus empowering decision-makers to make informed judgments as to how to tackle an entire problem or its subsets. The analytical advantage of using a signed graph in AIDA computations is demonstrated, proffering an innovative contribution to the approach. The paper concludes by identifying potentially fruitful avenues of future research as well as interdisciplinary opportunities.

Suggested Citation

  • Ion Georgiou & Joaquim Heck & Andrej Mrvar, 2019. "The Analysis of Interconnected Decision Areas: A Computational Approach to Finding All Feasible Solutions," Group Decision and Negotiation, Springer, vol. 28(3), pages 543-563, June.
    • Handle: RePEc:spr:grdene:v:28:y:2019:i:3:d:10.1007_s10726-018-9607-5
    DOI: 10.1007/s10726-018-9607-5
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    References listed on IDEAS

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    Cited by:

    1. Maria Franca Norese & Diana Rolando & Rocco Curto, 2023. "DIKEDOC: a multicriteria methodology to organise and communicate knowledge," Annals of Operations Research, Springer, vol. 325(2), pages 1049-1082, June.
    2. Ion Georgiou & Joaquim Heck, 2021. "The emergence of problem structuring methods, 1950s–1989: An atlas of the journal literature," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(6), pages 756-796, November.

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