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dc.creatorAli, Zeeshan
dc.creatorMahmood, T.
dc.creatorKaramti, H.
dc.creatorUllah, Kifayat
dc.creatorZedam, L.
dc.creatorPamučar, Dragan
dc.creatorAhmadi, M.
dc.date.accessioned2023-05-12T11:51:13Z
dc.date.available2023-05-12T11:51:13Z
dc.date.issued2023
dc.identifier.issn1432-7643
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/2515
dc.description.abstractBrain carcinoma is one of the massive dangerous diseases in the human body, and certain intellectuals have been affected by them. Additionally, by using the complex q-rung orthopair fuzzy set, which is the massive important, and dominant technique to manage indeterminate and ambiguous information in genuine life troubles. This study aims to employ the principle of variation coefficient similarity measures and generalized variation coefficient similarity measures under the complex q-rung orthopair fuzzy sets and illustrated their properties. Certain special cases of the elaborated measures are investigated to expand the superiority of the investigated works. Moreover, by using the presented generalized variation coefficient similarity measures under the complex q-rung orthopair fuzzy information, a medical diagnosis is illustrated to determine the most dangerous sorts of brain carcinoma in the human body to determine the supremacy and dominance of the elaborated measures. Lastly, certain examples are illustrated based on proposed measures under a complex q-rung orthopair fuzzy set to find the advantages and sensitive analysis of the initiated measures to illustrate the rationality and dominance of the developed measures.en
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.rightsopenAccess
dc.sourceSoft Computing
dc.subjectVariation coefficient similarity measuresen
dc.subjectGeneralized variation coefficient similarity measuresen
dc.subjectDecision-making strategyen
dc.subjectComplex q-rung orthopair fuzzy setsen
dc.subjectBrain canceren
dc.titleInvestigation of the brain carcinoma based on generalized variation coefficient similarity measures using complex q-rung orthopair fuzzy informationen
dc.typearticle
dc.rights.licenseARR
dc.citation.rankM22~
dc.identifier.doi10.1007/s00500-023-08014-1
dc.identifier.fulltexthttp://prototype2.rcub.bg.ac.rs/bitstream/id/936/2511.pdf
dc.identifier.rcubconv_3801
dc.identifier.scopus2-s2.0-85153748751
dc.type.versionpublishedVersion


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