Veuillez utiliser cette adresse pour citer ce document : https://zone.biblio.laurentian.ca/handle/10219/3916
Titre: Reconstructing pairwise comparisons matrices based on differential evolution: a Monte Carlo study
Auteurs: Lu, Zhangao
Mots clés: Pairwise comparisons;pairwise comparisons matrix;inconsistency;differential evolution;optimization,;Monte Carlo,;metric
Date publié: 28-mai-2021
Abstrait: Pairwise comparisons have been used in the decision-making process since antiquities. However, it is a substantial challenge to generate a PC matrix from noisy or incomplete real-life input data. This study aims to investigate the reconstruction of pairwise comparisons matrices from not-so-inconsistent pairwise comparisons matrices by an optimization method based on di↵erential evolution. A distance-based objective function is defined as a function of the inconsistency indicator and the distance metric. Monte Carlo experiments are designed to illustrate the research outcomes. The experimental results show that this method convergence quickly. It also provides comparisons of several traditional metrics.
URI: https://zone.biblio.laurentian.ca/handle/10219/3916
Apparaît dans les collections:Computational Sciences - Master's theses

Fichiers dans cet item:
Fichier Description TailleFormat 
MSc thesis Zhangao Lu final.pdf3.27 MBAdobe PDFThumbnail
Parcourir/Ouvrir


Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.