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dc.contributor.authorGuleria, A.-
dc.contributor.authorBajaj, R.K.-
dc.date.accessioned2023-01-04T05:36:43Z-
dc.date.available2023-01-04T05:36:43Z-
dc.date.issued2021-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8918-
dc.description.abstractAn eigen fuzzy set of a fuzzy relation is often invariant under di erent computational aspects. The present research introduces a novel concept of eigen spherical fuzzy set of spherical fuzzy relations along with various composition operators for the rst time. This study proposed two algorithms to determine the greatest eigen spherical fuzzy sets and least eigen spherical fuzzy sets using the max 􀀀 min and min 􀀀 max composition operators, respectively, and illustrated the steps through ow charts. Further, two numerical examples related to di erent elds of decision-making problems were taken into account for illustrating the proposed methodology. The scope of future work in the eld of image information retrieval, genetic algorithm for image reconstruction, and notion of eigen spherical fuzzy soft sets/matrices was duly outlined. The comparative remarks and advantages of the proposed eigen spherical fuzzy sets were also included for better readability.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectEigen fuzzy seten_US
dc.subjectFuzzy relationen_US
dc.subjectDecision-makingen_US
dc.subjectComposition operatorsen_US
dc.titleEigen spherical fuzzy set and its application to decision-making problemen_US
dc.typeArticleen_US
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