DSS of the FITradeoff Method

Adiel Teixeira de Almeida (), Eduarda Asfora Frej (), Lucia Reis Peixoto Roselli (), Jônatas Araújo de Almeida (), Ana Paula Cabral Seixas Costa () and Danielle Costa Morais ()
Additional contact information
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

Chapter Chapter 14 in Multi-Criteria Decision Making with Partial Preference Information, 2026, pp 247-263 from Springer

Abstract: Abstract Decision Support Systems (DSSs) are indispensable when conducting decision-making processes since they implement mathematical models and promote interaction with actors involved in decision processes. The FITradeoff method has been implemented in a Decision Support System (DSS). This system can be used by any Decision Maker who aims to solve deterministic Multi-Criteria Decision Making/Aiding (MCDM/A) problems, and who has a compensatory rationality. This DSS is flexible since DMs can use the two paradigms for preference modeling—holistic evaluation and elicitation by decomposition. Also, it is interactive, since DMs participate in the whole process by expressing their preferences.

Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-032-19284-4_14

Ordering information: This item can be ordered from
http://www.springer.com/9783032192844

DOI: 10.1007/978-3-032-19284-4_14

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().