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Multi-attribute decision-making problem using complex q-rung orthopair fuzzy interaction aggregation operators

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dc.citedby1
dc.contributor.authorKhan Z.en_US
dc.contributor.authorUllah I.en_US
dc.contributor.authorHussain F.en_US
dc.contributor.authorRahim T.en_US
dc.contributor.authorJan R.en_US
dc.contributor.authorKhan M.en_US
dc.contributor.authorid58933753400en_US
dc.contributor.authorid58064624700en_US
dc.contributor.authorid57206445946en_US
dc.contributor.authorid58933966300en_US
dc.contributor.authorid57205596279en_US
dc.contributor.authorid27171676700en_US
dc.date.accessioned2025-03-03T07:41:54Z
dc.date.available2025-03-03T07:41:54Z
dc.date.issued2024
dc.description.abstractThe complex q-rung orthopair fuzzy sets are an important way to express uncertain and ambiguous information, and they are superior to the complex fuzzy sets, complex intuitionistic fuzzy sets, complex pythagorean fuzzy sets, and complex fermatean fuzzy sets. This paper extend the notion of q-rung orthopair fuzzy sets to complex q-rung orthopair fuzzy sets. Interaction aggregation operators are often used in various fields to solve multi-attribute decision-making Problems. By utilizing arithmetic and geometric operators, some well-known complex q-rung orthopair fuzzy interaction aggregation operators such as complex q-rung orthopair fuzzy interaction weighted average operator, complex q-rung orthopair fuzzy interaction weighted geometric operator, complex q-rung orthopair fuzzy interaction order weighted operator, complex q-rung orthopair fuzzy interaction order weighted geometric operator, complex q-rung orthopair fuzzy interaction hybrid operator, and complex q-rung orthopair fuzzy interaction hybrid geometric operator have been developed. In addition, some of the unique properties of these newly established operators are investigated. Finally, we explore a decision-making approach to solve multi-attribute decision-making Problem. The viability and flexibility of the suggested technique is explored with the help of a numerical example and the proposed results are compared with several existing approaches. ? The Author(s) under exclusive licence to Korean Society for Informatics and Computational Applied Mathematics 2024.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s12190-024-02170-9
dc.identifier.epage5189
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85197666475
dc.identifier.spage5153
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85197666475&doi=10.1007%2fs12190-024-02170-9&partnerID=40&md5=bcf34a9db8d9177e646cd77073b72b7e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36315
dc.identifier.volume70
dc.pagecount36
dc.publisherSpringer Natureen_US
dc.sourceScopus
dc.sourcetitleJournal of Applied Mathematics and Computing
dc.subjectDecision making
dc.subjectGeometry
dc.subjectMathematical operators
dc.subjectNumerical methods
dc.subjectStatistical methods
dc.subjectAggregation operator
dc.subjectComplex fuzzy sets
dc.subjectComplex q-ROFI weighted average operator
dc.subjectComplex q-ROFI weighted geometric operator
dc.subjectComplex q-ROFS
dc.subjectDecision-making problem
dc.subjectIntuitionistic fuzzy sets
dc.subjectMCDM problem
dc.subjectMulti attribute decision making
dc.subjectWeighted average operators
dc.subjectFuzzy sets
dc.titleMulti-attribute decision-making problem using complex q-rung orthopair fuzzy interaction aggregation operatorsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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