IDEAS home Printed from https://ideas.repec.org/a/ags/veagro/347642.html
   My bibliography  Save this article

Practical method for table grape selection using multicriteria decision analysis

Author

Listed:
  • Melo, Maria Eduarda Nascimento
  • Amaral, Thiago Magalhães
  • Leão, Patrícia Coelho Souza

Abstract

The São Francisco Valley (Pernambuco-PE, Brazil) is of great importance for the local economy, since the region represents a large portion of Brazilian production and export of fresh grapes. Traditional methods of feasibility analysis involve only cost or productivity analyses, but for the grape growers there must be techniques and methods that assist decision making involving other criteria with characteristics of the grape. Yet, there is a noticeable lack of multi-criteria methods that assist the grower in making decisions for selection of commercial table grape cultivars for the feasibility analysis. Thus, the aim of the present study is to select table grape cultivars through multiple criteria, using a new method for eliciting scale constants: the Flexible and Interactive Tradeoff (FITradeoff), for the purpose of assisting a rural producer to expand production while minimizing inconsistencies in the decision-making process. With the assistance of a decision maker, the Decision Matrix and Consequence Table were constructed on Microsoft Excel® – composed by 11 criteria and 3 alternatives, all closed source grape cultivars (with patents). Then, the data were applied on the FITradeoff software for the ranking problematic. Thus, it was possible to arrive at a ranking of the best alternatives, where the cultivar Timpson (SNFL) (U2) was found to be the optimal solution proposed for the rural producer. The application of FITradeoff provided a satisfactory result with little time and effort spent, leading to a final suggestion for the decision maker. In addition, at the end of the process, it provided graphical visualization of the performance and dominance of each criterion selected, as well as a ranking of the grape cultivars through the Hasse Diagram, with the order of the best alternatives. Ordering the grape genotypes considering Multi-Criteria Decision Analysis methods is crucial to selection of commercial table grape cultivars. The method can be applied to other segments of agriculture that require multi-criteria evaluations.

Suggested Citation

  • Melo, Maria Eduarda Nascimento & Amaral, Thiago Magalhães & Leão, Patrícia Coelho Souza, 2024. "Practical method for table grape selection using multicriteria decision analysis," Agroalimentaria Journal - Revista Agroalimentaria, Centro de Investigaciones Agroalimentarias, Facultad de Ciencias Económicas y Sociales, Universidad de los Andes, vol. 29(57), January.
    • Handle: RePEc:ags:veagro:347642
    DOI: 10.22004/ag.econ.347642
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/347642/files/Articulo_9_Melo-et-al_R57.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.347642?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. de Almeida, Jonatas Araujo & Costa, Ana Paula Cabral Seixas & de Almeida-Filho, Adiel Teixeira, 2016. "A new method for elicitation of criteria weights in additive models: Flexible and interactive tradeoffAuthor-Name: de Almeida, Adiel Teixeira," European Journal of Operational Research, Elsevier, vol. 250(1), pages 179-191.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. Thalles Vitelli Garcez & Helder Tenório Cavalcanti & Adiel Teixeira de Almeida, 2021. "A hybrid decision support model using Grey Relational Analysis and the Additive-Veto Model for solving multicriteria decision-making problems: an approach to supplier selection," Annals of Operations Research, Springer, vol. 304(1), pages 199-231, September.
    7. Lucia Reis Peixoto Roselli & Adiel Teixeira Almeida & Eduarda Asfora Frej, 2019. "Decision neuroscience for improving data visualization of decision support in the FITradeoff method," Operational Research, Springer, vol. 19(4), pages 933-953, December.
    8. de Almeida Filho, Adiel T. & Clemente, Thárcylla R.N. & Morais, Danielle Costa & de Almeida, Adiel Teixeira, 2018. "Preference modeling experiments with surrogate weighting procedures for the PROMETHEE method," European Journal of Operational Research, Elsevier, vol. 264(2), pages 453-461.
    9. Lucia Reis Peixoto Roselli & Leydiana de Sousa Pereira & Anderson Lucas Carneiro de Lima Silva & Adiel Teixeira Almeida & Danielle Costa Morais & Ana Paula Cabral Seixas Costa, 2020. "Neuroscience experiment applied to investigate decision-maker behavior in the tradeoff elicitation procedure," Annals of Operations Research, Springer, vol. 289(1), pages 67-84, June.
    10. Adiel T. de Almeida-Filho & Madson B. S. Monte & Danielle C. Morais, 2017. "A Voting Approach Applied to Preventive Maintenance Management of a Water Supply System," Group Decision and Negotiation, Springer, vol. 26(3), pages 523-546, May.
    11. Marques, Adriana Cavalcante & Frej, Eduarda Asfora & de Almeida, Adiel Teixeira, 2022. "Multicriteria decision support for project portfolio selection with the FITradeoff method," Omega, Elsevier, vol. 111(C).
    12. Ewa Roszkowska, 2020. "The extention rank ordering criteria weighting methods in fuzzy enviroment," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 30(2), pages 91-114.
    13. Ciomek, Krzysztof & Kadziński, Miłosz & Tervonen, Tommi, 2017. "Heuristics for selecting pair-wise elicitation questions in multiple criteria choice problems," European Journal of Operational Research, Elsevier, vol. 262(2), pages 693-707.
    14. Kuller, M. & Beutler, P. & Lienert, J., 2023. "Preference change in stakeholder group-decision processes in the public sector: Extent, causes and implications," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1268-1285.
    15. Kadziński, Miłosz & Ciomek, Krzysztof, 2021. "Active learning strategies for interactive elicitation of assignment examples for threshold-based multiple criteria sorting," European Journal of Operational Research, Elsevier, vol. 293(2), pages 658-680.
    16. 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.
    17. Haag, Fridolin & Lienert, Judit & Schuwirth, Nele & Reichert, Peter, 2019. "Identifying non-additive multi-attribute value functions based on uncertain indifference statements," Omega, Elsevier, vol. 85(C), pages 49-67.
    18. József Dombi & Tamás Jónás, 2024. "Learning the weights using attribute order information for multi-criteria decision making tasks," OPSEARCH, Springer;Operational Research Society of India, vol. 61(4), pages 2379-2409, December.
    19. Pavel Anselmo Alvarez Carrillo & Lucia Reis Peixoto Roselli & Eduarda Asfora Frej & Adiel Teixeira Almeida, 2022. "Selecting an agricultural technology package based on the flexible and interactive tradeoff method," Annals of Operations Research, Springer, vol. 314(2), pages 377-392, July.
    20. Dombi, József & Jónás, Tamás, 2022. "Weighted aggregation systems and an expectation level-based weighting and scoring procedure," European Journal of Operational Research, Elsevier, vol. 299(2), pages 580-588.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:veagro:347642. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ciulave.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.