IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-032-19284-4_16.html

Cases Using FITradeoff Method

In: Multi-Criteria Decision Making with Partial Preference Information

Author

Listed:
  • Adiel Teixeira de Almeida

    (Federal University of Pernambuco)

  • Eduarda Asfora Frej

    (Federal University of Pernambuco)

  • Lucia Reis Peixoto Roselli

    (Federal University of Pernambuco)

  • Jônatas Araújo de Almeida

    (Federal University of Pernambuco)

  • Ana Paula Cabral Seixas Costa

    (Federal University of Pernambuco)

  • Danielle Costa Morais

    (Federal University of Pernambuco)

Abstract

There are several applications reported in the literature, using partial preference information methods, such as the FITradeoff method. This chapter uses some of these applications to build cases that can illustrate the potentiality and advantages of applying methods that use partial preference information. These cases can also be easily hands-on replicated by readers to wishing to acquire this experience. These cases deal with decision problems related to supplier selection, location problems, portfolio selection in energy, security, production planning, and other management contexts. As a result of undergoing this experience, the reader will be able to understand why methods that use partial preference information tend to gain in popularity as their advantages become increasingly known. There are several methods available in the literature, which are presented in this book and one of their features is to require only the necessary and sufficient preference information from decision makers, which is much less than traditional methods, which are based on complete preference information.

Suggested Citation

  • Adiel Teixeira de Almeida & Eduarda Asfora Frej & Lucia Reis Peixoto Roselli & Jônatas Araújo de Almeida & Ana Paula Cabral Seixas Costa & Danielle Costa Morais, 2026. "Cases Using FITradeoff Method," International Series in Operations Research & Management Science, in: Multi-Criteria Decision Making with Partial Preference Information, chapter 16, pages 317-379, Springer.
  • Handle: RePEc:spr:isochp:978-3-032-19284-4_16
    DOI: 10.1007/978-3-032-19284-4_16
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    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:spr:isochp:978-3-032-19284-4_16. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.