dc.contributor.author | Saha, Abhijit | |
dc.contributor.author | Ecer, Fatih | |
dc.contributor.author | Chatterjee, Prasenjit | |
dc.contributor.author | Senapati, Tapan | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.date.accessioned | 2023-09-18T16:24:56Z | |
dc.date.available | 2023-09-18T16:24:56Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 0868-4952 | |
dc.identifier.other | (WOS_ID)000933656100007 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/113542 | |
dc.description.abstract | This paper proposes a new multi-criteria group decision-making (MCGDM) method utilizing q-rung orthopair fuzzy (qROF) sets, improved power weighted operators and improved power weighted Maclaurin symmetric mean (MSM) operators. The power weighted averaging operator and power weighted Maclaurin symmetric mean (MSM) operator used in the existing MCGDM methods have the drawback of being unable to distinguish the priority order of alternatives in some scenarios, especially when one of the qROF numbers being considered has a non-belongingness grade of 0 or a belongingness grade of 1. To address this limitation of existing MCGDM methods, four operators, namely qROF improved power weighted averaging (qROFIPWA), qROF improved power weighted geometric (qROFIPWG), qROF improved power weighted averaging MSM (qROFIPWAMSM) and qROF improved power weighted geometric MSM (qROFIPWGMSM), are proposed in this paper. These operators mitigate the effects of erroneous assessment of information from some biased decision-makers, making the decision-making process more reliable. Following that, a group decision-making methodology is developed that is capable of generating a reasonable ranking order of alternatives when one of the qROF numbers considered has a non-belongingness grade of 0 or a belongingness grade of 1. To investigate the applicability of the proposed approach, a case study is also presented and a comparison-based investigation is used to demonstrate the superiority of the approach. | eng |
dc.format | PDF | |
dc.format.extent | p. 593-621 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | VINITI | |
dc.relation.isreferencedby | Zentralblatt MATH (zbMATH) | |
dc.title | q-rung orthopair fuzzy improved power weighted operators for solving group decision-making issues | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | Open access article under the CC BY license. | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 54 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | College of Engineering, Koneru Lakshmaiah Education Foundation | |
dc.contributor.institution | Afyon Kocatepe University | |
dc.contributor.institution | MCKV Institute of Engineering | |
dc.contributor.institution | Padima Janakalyan Banipith Southwest University | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.contributor.department | Tvariosios statybos institutas / Institute of Sustainable Construction | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.vgtuprioritizedfields | IK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | q-rung orthopair fuzzy sets | |
dc.subject.en | improved power weighted operators | |
dc.subject.en | improved power weighted Maclaurin symmetric mean (MSM) operators | |
dc.subject.en | group decision-making | |
dcterms.sourcetitle | Informatica | |
dc.description.issue | iss. 3 | |
dc.description.volume | vol. 33 | |
dc.publisher.name | Vilnius University Press | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 000933656100007 | |
dc.identifier.doi | 140862369 | |
dc.identifier.doi | 10.15388/22-INFOR496 | |
dc.identifier.elaba | 159268811 | |