bibtype J - Journal Article
ARLID 0600589
utime 20241115104831.8
mtime 20241111235959.9
SCOPUS 85207351706
WOS 001349997400001
DOI 10.1016/j.cie.2024.110661
title (primary) (eng) Multi-criteria decision making beyond consistency: An alternative to AHP for real-world industrial problems
specification
page_count 12 s.
media_type P
serial
ARLID cav_un_epca*0252554
ISSN 0360-8352
title Computers & Industrial Engineering
volume_id 198
publisher
name Elsevier
keyword Decision-making theory
keyword Decision support systems
keyword Analytic hierarchy process
keyword Intransitive preferences
keyword Skew-symmetric bilinear representation
author (primary)
ARLID cav_un_auth*0476093
name1 Carpitella
name2 S.
country US
author
ARLID cav_un_auth*0216188
name1 Kratochvíl
name2 Václav
institution UTIA-B
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
full_dept Department of Decision Making Theory
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0234872
name1 Pištěk
name2 Miroslav
institution UTIA-B
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
full_dept Department of Decision Making Theory
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url https://library.utia.cas.cz/separaty/2024/MTR/kratochvil-0600589.pdf
source
url https://www.sciencedirect.com/science/article/pii/S0360835224007836
cas_special
abstract (eng) The Analytic Hierarchy Process (AHP) is a widely used method for multi-criteria decision-making that relies on consistency in pairwise comparisons. However, decision-makers often struggle to provide fully consistent judgments in real-world scenarios. This article introduces a decision-making framework that operates independently of consistency. Utilizing the Skew-Symmetric Bilinear representation of preferences allows decision-makers to more accurately evaluate alternatives and criteria, making this framework more applicable in practical settings. The proposed method is validated through practical examples and an in-depth case study in the textile industry, effectively resolving a complex decision-making problem related to acquiring a data analytics tool for supplier selection. The results underscore the robustness and flexibility of this consistency-independent technique as an alternative to traditional AHP methods.
result_subspec WOS
RIV BC
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2025
num_of_auth 3
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0358247
confidential S
article_num 110661
mrcbC91 A
mrcbT16-e COMPUTERSCIENCEINTERDISCIPLINARYAPPLICATIONS|ENGINEERINGINDUSTRIAL
mrcbT16-j 1.214
mrcbT16-D Q2
arlyear 2024
mrcbU14 85207351706 SCOPUS
mrcbU24 PUBMED
mrcbU34 001349997400001 WOS
mrcbU63 cav_un_epca*0252554 Computers & Industrial Engineering Roč. 198 č. 1 2024 0360-8352 1879-0550 Elsevier