General Concepts on 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 ()
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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 1 in Multi-Criteria Decision Making with Partial Preference Information, 2026, pp 3-27 from Springer

Abstract: Abstract The efficiency of the decision-making process for any organization is a key factor for its success. Decision making affects the strategic results of any organization, as well as human life and the environment. Many decision problems have multiple objectives that need to be combined in some way. This chapter introduces decision problems with multiple objectives and the area of Multi-Criteria Decision Making/Aiding (MCDM/A). The focus is on preference-driven problems, in which the decision maker’s (DM’s) preference is obtained and introduced within the mathematical decision model. An overview for classifying MCDM/A methods is given, including a DM’s compensatory and non-compensatory rationality. The concepts and basic elements of MCDM/A are presented, including preference structures, intra-criterion and inter-criteria evaluation, needed to build decision models. The use of Artificial Intelligence (AI) in MCDM/A is discussed. Also, some remarks are given on how to choose MCDM/A methods by means of building decision models.

Keywords: MCDM/A; Classifications of methods; Artificial Intelligence in MCDM/A; Choice of MCDM/A method; Preference structures; Basic ingredients (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-19284-4_1

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