Foundations of Multi-Criteria Decision Analysis: a revisitation
The present paper details the foundations of Multi-Criteria Decision Analysis (MCDA) and describes their elementary structure. The paper also discusses the evolution of MCDA methods over the past 30 years and the integration of Artificial Intelligence in handling massive data and collaborative decis...
Autores principales: | , |
---|---|
Formato: | Artículo revista |
Lenguaje: | Español |
Publicado: |
Escuela de Perfeccionamiento en Investigación Operativa
2024
|
Materias: | |
Acceso en línea: | https://revistas.unc.edu.ar/index.php/epio/article/view/47351 |
Aporte de: |
id |
I10-R359-article-47351 |
---|---|
record_format |
ojs |
spelling |
I10-R359-article-473512024-12-18T12:28:13Z Foundations of Multi-Criteria Decision Analysis: a revisitation Autran Monteiro Gomes, Luiz Flávio Bevilacqua Leoneti, Alexandre MCDA decision analysis multi-criteria decision theory MCDA decision analysis multi-criteria decision theory The present paper details the foundations of Multi-Criteria Decision Analysis (MCDA) and describes their elementary structure. The paper also discusses the evolution of MCDA methods over the past 30 years and the integration of Artificial Intelligence in handling massive data and collaborative decision-making. By exploring the application of a multi-criteria approach to complex decision processes, highlighting its advantages such as facilitating dialogue among decision-making agents, accommodating subjectivities and uncertainties, and visualizing satisficing solutions as compromises between conflicting viewpoints, the paper aims to contribute to the consolidation of the approach for its practical use by engineers, mathematicians, statisticians, computer scientists, economists, and other experts in Operational Research. ARK CAICYT: https://id.caicyt.gov.ar/ark:/s18539777/5126torn6 The present paper details the foundations of Multi-Criteria Decision Analysis (MCDA) and describes their elementary structure. The paper also discusses the evolution of MCDA methods over the past 30 years and the integration of Artificial Intelligence in handling massive data and collaborative decision-making. By exploring the application of a multi-criteria approach to complex decision processes, highlighting its advantages such as facilitating dialogue among decision-making agents, accommodating subjectivities and uncertainties, and visualizing satisficing solutions as compromises between conflicting viewpoints, the paper aims to contribute to the consolidation of the approach for its practical use by engineers, mathematicians, statisticians, computer scientists, economists, and other experts in Operational Research. Escuela de Perfeccionamiento en Investigación Operativa 2024-11-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/epio/article/view/47351 Revista de la Escuela de Perfeccionamiento en Investigación Operativa; Vol. 32 Núm. 56 (2024): NOVIEMBRE 1853-9777 0329-7322 spa https://revistas.unc.edu.ar/index.php/epio/article/view/47351/47379 https://creativecommons.org/licenses/by-nc-sa/4.0 |
institution |
Universidad Nacional de Córdoba |
institution_str |
I-10 |
repository_str |
R-359 |
container_title_str |
Revista de la Escuela de Perfeccionamiento en Investigación Operativa |
language |
Español |
format |
Artículo revista |
topic |
MCDA decision analysis multi-criteria decision theory MCDA decision analysis multi-criteria decision theory |
spellingShingle |
MCDA decision analysis multi-criteria decision theory MCDA decision analysis multi-criteria decision theory Autran Monteiro Gomes, Luiz Flávio Bevilacqua Leoneti, Alexandre Foundations of Multi-Criteria Decision Analysis: a revisitation |
topic_facet |
MCDA decision analysis multi-criteria decision theory MCDA decision analysis multi-criteria decision theory |
author |
Autran Monteiro Gomes, Luiz Flávio Bevilacqua Leoneti, Alexandre |
author_facet |
Autran Monteiro Gomes, Luiz Flávio Bevilacqua Leoneti, Alexandre |
author_sort |
Autran Monteiro Gomes, Luiz Flávio |
title |
Foundations of Multi-Criteria Decision Analysis: a revisitation |
title_short |
Foundations of Multi-Criteria Decision Analysis: a revisitation |
title_full |
Foundations of Multi-Criteria Decision Analysis: a revisitation |
title_fullStr |
Foundations of Multi-Criteria Decision Analysis: a revisitation |
title_full_unstemmed |
Foundations of Multi-Criteria Decision Analysis: a revisitation |
title_sort |
foundations of multi-criteria decision analysis: a revisitation |
description |
The present paper details the foundations of Multi-Criteria Decision Analysis (MCDA) and describes their elementary structure. The paper also discusses the evolution of MCDA methods over the past 30 years and the integration of Artificial Intelligence in handling massive data and collaborative decision-making. By exploring the application of a multi-criteria approach to complex decision processes, highlighting its advantages such as facilitating dialogue among decision-making agents, accommodating subjectivities and uncertainties, and visualizing satisficing solutions as compromises between conflicting viewpoints, the paper aims to contribute to the consolidation of the approach for its practical use by engineers, mathematicians, statisticians, computer scientists, economists, and other experts in Operational Research.
ARK CAICYT: https://id.caicyt.gov.ar/ark:/s18539777/5126torn6 |
publisher |
Escuela de Perfeccionamiento en Investigación Operativa |
publishDate |
2024 |
url |
https://revistas.unc.edu.ar/index.php/epio/article/view/47351 |
work_keys_str_mv |
AT autranmonteirogomesluizflavio foundationsofmulticriteriadecisionanalysisarevisitation AT bevilacqualeonetialexandre foundationsofmulticriteriadecisionanalysisarevisitation |
first_indexed |
2025-02-05T22:13:50Z |
last_indexed |
2025-02-05T22:13:50Z |
_version_ |
1834517613166723072 |