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

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

Foundations of Computing and Decision Sciences
Volume 50 (2025): Issue 2 (June 2025)
By: Toufik Achir and  Baroudi Rouba  
Open Access
|Jun 2025
Authors

Authors

Toufik Achir

toufik.achir.etu@univ-mosta.dz

Lab CSTL, Mostaganem University, Mostaganem, Algeria
Faculty of Exact Sciences and Computer Science, Mostaganem University

Baroudi Rouba

baroudi.rouba@univmosta.dz

Lab CSTL, Mostaganem University, Mostaganem, Algeria
Faculty of Science and technology, Mostaganem University
DOI: https://doi.org/10.2478/fcds-2025-0005 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
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Language: English
Page range: 117 - 156
Submitted on: Oct 20, 2024
Accepted on: Mar 10, 2025
Published on: Jun 10, 2025
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
degree of importance,
preference relation,
multicriteria decision aid,
PROMETHEE,
outlier detection,
statistical methods
Related subjects:
Computer sciences,
Artificial intelligence,
Software development

© 2025 Toufik Achir, Baroudi Rouba, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 50 (2025): Issue 2 (June 2025)
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