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Title:Pythagorean linguistic information-based green supplier selection using quantum-based group decision-making methodology and the MULTIMOORA approach
Authors:ID Mandal, Prasenjit (Author)
ID Mršić, Leo (Author)
ID Kalampakas, Antonios (Author)
ID Allahviranloo, Tofigh (Author)
ID Samanta, Sovan (Author)
Files:URL URL - Source URL, visit https://link.springer.com/article/10.1007/s10462-025-11205-x
 
.pdf PDF - Presentation file, download (3,38 MB)
MD5: 88637981ADBB6E936354F58F72A49031
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo RUDOLFOVO - Rudolfovo - Science and Technology Centre Novo Mesto
Abstract:The selection of environmentally sustainable suppliers has been a significant challenge in management decision-making (DM). Multicriteria group decision-making (MCGDM) is a ranking methodology used to select suppliers, but it is complex and influenced by the different opinions of decision-makers. Once again, extensive research on MCGDM has exposed inadequacies in the trustworthiness of experts’ judgements, which profoundly impact the ultimate ranking results. The Pythagorean linguistic number (PLN) concept has been used to address MCGDM by considering experts’ confidence levels and real-world scenarios. This study introduces an extensive technique using a quantum scenario-based Bayesian network (QSBN) and Deng entropy-based belief entropy to account for the interference of beliefs. The goal is to replicate the subjectivity of experts’ opinions during different stages of DM, including the accumulation of experts’ weights and alternative probabilities. The correlation coefficient of PLNs is introduced for determining criterion weights and employing new techniques based on entropy methods for experts’ weights. The MULTIMOORA approach consolidates the probability of alternatives in QSBN among all experts, and the interference value is computed using belief entropy, an index for quantifying the probability of uncertainty. The study provides a numerical example to illustrate the proposed methodology, pecifically focusing on selecting environmentally sustainable suppliers, and demonstrates its applicability and effectiveness
Keywords:Pythagorean linguistic set, MULTIMOORA, Quantum probability theory, MCGDM
Publication status:Published
Publication version:Version of Record
Article acceptance date:23.03.2025
Publication date:11.04.2025
Publisher:Kluwer
Year of publishing:2025
Number of pages:str. 1-34
Numbering:Vol. 58, iss. 7, article no. 199
PID:20.500.12556/DiRROS-22715 New window
UDC:519.816:004.8:658.7
ISSN on article:1573-7462
DOI:10.1007/s10462-025-11205-x New window
COBISS.SI-ID:239348483 New window
Copyright: © The Author(s) 2025
Note:Nasl. z nasl. zaslona; Opis vira z dne 13. 6. 2025; Soavtorji: Leo Mrsic, Antonios Kalampakas, Tofigh Allahviranloo & Sovan Samanta;
Publication date in DiRROS:18.06.2025
Views:407
Downloads:215
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Record is a part of a journal

Title:Artificial intelligence review
Shortened title:Artif. intell. rev.
Publisher:Kluwer
ISSN:1573-7462
COBISS.SI-ID:513123865 New window

Document is financed by a project

Funder:Other - Other funder or multiple funders
Funding programme:Hrvatska agencija za malo gospodarstvo, inovacije i investicije
Project number:SMER
Name:Smart-En-Route
Acronym:SMER

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:Pitagorejske lingvistične množice, Kvantna teorija verjetnosti, napredna metoda večkriterijskega odločanja


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