Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

A Novel Weighted Preference Relation Approach to Detect Outliers in Multi-Criteria Decision Aid Context

Saved in:
Bibliographic Details
Published in:Foundations of Computing and Decision Sciences
Format: Online Article RSS Article
Published: 2025
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868553620242300928
collection WordPress RSS
FRELIP Feed Integration
container_title Foundations of Computing and Decision Sciences
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78157
institution FRELIP
journal_source_facet Foundations of Computing and Decision Sciences
last_indexed 2026-06-20T21:39:56.259Z
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle A Novel Weighted Preference Relation Approach to Detect Outliers in Multi-Criteria Decision Aid Context
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title A Novel Weighted Preference Relation Approach to Detect Outliers in Multi-Criteria Decision Aid Context
title_alt Un Enfoque Novedoso de Relación de Preferencia Ponderada para Detectar Valores Atípicos en Contexto de Ayuda a la Decisión Multicriterio
Une nouvelle approche de relation de préférence pondérée pour détecter les valeurs aberrantes dans un contexte d'aide à la décision multicritère
Uma Nova Abordagem de Relação de Preferência Ponderada para Detectar Outliers no Contexto de Apoio à Decisão Multicritério
title_auth A Novel Weighted Preference Relation Approach to Detect Outliers in Multi-Criteria Decision Aid Context
title_es_txt Un Enfoque Novedoso de Relación de Preferencia Ponderada para Detectar Valores Atípicos en Contexto de Ayuda a la Decisión Multicriterio
title_fr_txt Une nouvelle approche de relation de préférence pondérée pour détecter les valeurs aberrantes dans un contexte d'aide à la décision multicritère
title_full A Novel Weighted Preference Relation Approach to Detect Outliers in Multi-Criteria Decision Aid Context
title_fullStr A Novel Weighted Preference Relation Approach to Detect Outliers in Multi-Criteria Decision Aid Context
title_full_unstemmed A Novel Weighted Preference Relation Approach to Detect Outliers in Multi-Criteria Decision Aid Context
title_pt_txt Uma Nova Abordagem de Relação de Preferência Ponderada para Detectar Outliers no Contexto de Apoio à Decisão Multicritério
title_short A Novel Weighted Preference Relation Approach to Detect Outliers in Multi-Criteria Decision Aid Context
title_sort a novel weighted preference relation approach to detect outliers in multi-criteria decision aid context
topic Computer Science
General
Computer Science
url https://sciendo.com/article/10.2478/fcds-2025-0005