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Using data visualization for ranking alternatives with partial information and interactive tradeoff elicitation

Author

Listed:
  • Eduarda Asfora Frej

    (Universidade Federal de Pernambuco)

  • Adiel Teixeira Almeida

    (Universidade Federal de Pernambuco)

  • Ana Paula Cabral Seixas Costa

    (Universidade Federal de Pernambuco)

Abstract

This paper puts forward the use of data visualization in a new method for solving multiple criteria decision-making problems for ranking of alternatives, based on Flexible and Interactive Tradeoff (FITradeoff) elicitation. This approach uses partial information about the decision maker’s preferences, based on a structured process for eliciting scale constants (or weights) within the scope of multi-attribute value theory. Different from most of the partial information methods present in the literature, our approach is based on the traditional Tradeoff, which is the most axiomatically founded procedure for elicitation of criteria weights. Pairwise dominance concept is incorporated into the mathematical model of FITradeoff in such way that, at each interaction with the decision maker, a partial—or complete—order of the alternatives can be achieved, based on a two-step algorithm proposed. The method is operated by means of a decision support system, which provides graphical visualization of the ranking at each interaction, in order to support the decision-making process with a simpler visualization of dominance relations. The proposed method is applied for solving a practical case of supplier selection in a food industry.

Suggested Citation

  • Eduarda Asfora Frej & Adiel Teixeira Almeida & Ana Paula Cabral Seixas Costa, 2019. "Using data visualization for ranking alternatives with partial information and interactive tradeoff elicitation," Operational Research, Springer, vol. 19(4), pages 909-931, December.
  • Handle: RePEc:spr:operea:v:19:y:2019:i:4:d:10.1007_s12351-018-00444-2
    DOI: 10.1007/s12351-018-00444-2
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    References listed on IDEAS

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    Cited by:

    1. Eduarda Asfora Frej & Danielle Costa Morais & Adiel Teixeira de Almeida, 2022. "Negotiation Support Through Interactive Dominance Relationship Specification," Group Decision and Negotiation, Springer, vol. 31(3), pages 591-620, June.
    2. Madson Bruno da Silva Monte & Danielle Costa Morais, 2019. "A Decision Model for Identifying and Solving Problems in an Urban Water Supply System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(14), pages 4835-4848, November.
    3. Adiel Teixeira Almeida & Eduarda Asfora Frej & Lucia Reis Peixoto Roselli, 2021. "Combining holistic and decomposition paradigms in preference modeling with the flexibility of FITradeoff," 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. 29(1), pages 7-47, March.
    4. Lucas Miguel Alencar Correia & Jonhatan Magno Norte Silva & Wilza Karla Leite & Ruan Eduardo Carneiro Lucas & Geraldo Alves Colaço, 2022. "A multicriteria decision model to rank workstations in a footwear industry based on a FITradeoff-ranking method for ergonomics interventions," Operational Research, Springer, vol. 22(4), pages 3335-3371, September.
    5. Lucia Reis Peixoto Roselli & Adiel Teixeira Almeida, 2022. "Use of the Alpha-Theta Diagram as a decision neuroscience tool for analyzing holistic evaluation in decision making," Annals of Operations Research, Springer, vol. 312(2), pages 1197-1219, May.
    6. Pergher, Isaac & Frej, Eduarda Asfora & Roselli, Lucia Reis Peixoto & de Almeida, Adiel Teixeira, 2020. "Integrating simulation and FITradeoff method for scheduling rules selection in job-shop production systems," International Journal of Production Economics, Elsevier, vol. 227(C).

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