Basic Structure for Using Partial Preference Information in MCDM/A

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 4 in Multi-Criteria Decision Making with Partial Preference Information, 2026, pp 61-75 from Springer

Abstract: Abstract In the MCDM/A area, methods that use partial preference information have high potential for being applied in the practice of decision making/aiding, since partial/incomplete preference information is easier to express and less cognitively demanding for DMs to define compared to traditional approaches. These reasons may contribute to the popularity of such methods. This chapter aims to present the structural basis of partial preference information methods and their features. Setting out from what motivates the development of these methods, the chapter presents a complete structured framework for partial information methods, considering possibilities for dealing with the preferences modeling process, different forms of partial information that can be provided by the DM, and synthesis steps that can be applied to derive a recommendation. Finally, this chapter presents basic concepts related to the weight space associated with the analysis of DM’s preferential information and how some approaches seek conclusions based on the partial information collected.

Keywords: Motivation for partial information; Surrogate weights; Space of weights; Framework for partial information; Forms of partial preference information (search for similar items in EconPapers)
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_4

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

DOI: 10.1007/978-3-032-19284-4_4

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 ().