Multi-criteria decision making beyond consistency: An alternative to AHP for real-world industrial problems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F24%3A00600589" target="_blank" >RIV/67985556:_____/24:00600589 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0360835224007836" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0360835224007836</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cie.2024.110661" target="_blank" >10.1016/j.cie.2024.110661</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-criteria decision making beyond consistency: An alternative to AHP for real-world industrial problems

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Multi-criteria decision making beyond consistency: An alternative to AHP for real-world industrial problems

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Computers & Industrial Engineering

ISSN

0360-8352

e-ISSN

1879-0550

Svazek periodika

198

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

110661

Kód UT WoS článku

001349997400001

EID výsledku v databázi Scopus

2-s2.0-85207351706