Bipolar Intuitionistic Fuzzy Graph Centrality-Based Decision-Making Model to Prioritize Locations for Healthcare Camp during COVID-19

dc.authorscopusid 60155427100
dc.authorscopusid 58072572100
dc.authorscopusid 55650282900
dc.authorscopusid 60155351500
dc.authorscopusid 60155620600
dc.authorscopusid 59141140400
dc.authorscopusid 59141140400
dc.contributor.author Nithyanandham, D.
dc.contributor.author Augustin, F.
dc.contributor.author Narayanamoorthy, S.
dc.contributor.author Ijaz, B.
dc.contributor.author Ranganathan, S.
dc.contributor.author Dhivya, S.
dc.contributor.author Ahmadian, A.
dc.date.accessioned 2025-11-15T14:59:09Z
dc.date.available 2025-11-15T14:59:09Z
dc.date.issued 2025
dc.department Okan University en_US
dc.department-temp [Nithyanandham] Deva, Department of Mathematics, Vellore Institute of Technology, Chennai, Chennai, India; [Augustin] Felix, Department of Mathematics, Vellore Institute of Technology, Chennai, Chennai, India; [Narayanamoorthy] Samayan, Department of Mathematics, Bharathiar University, Coimbatore, India; [Ijaz] Babu, Department of Mathematics, Bharathiar University, Coimbatore, India; [Ranganathan] Saraswathy, Department of Radiology, Karpagam Medical College and Hospital, Coimbatore, India; [Dhivya] Selvaraj, Department of Biochemistry, Post Graduate Institute of Child Health, Noida, India; [Ahmadian] Ali, Jadara University, Irbid, Jordan, Faculty of Engineering and Natural Sciences, Istanbul Okan University, Tuzla, Turkey en_US
dc.description.abstract Centrality measure is one of the important tools in graph theory to measure the significance of the vertices in the graph. When uncertainty exists in the vertices and their relations, the fuzzy graph helps to handle such scenarios. Bipolar intuitionistic fuzzy graph is an extension of fuzzy graph, effectively deal with uncertainty by assigning membership and nonmembership degrees in a bipolar perspective. In this chapter, the centrality measures such as degree, in-degree, and out-degree centrality measures in the bipolar intuitionistic fuzzy graph are defined. Additionally, a decision-making model is designed based on the degree centrality measure. Further, an illustration of this model is provided for prioritizing the locations to setup healthcare camp during COVID-19 pandemics. © 2025 Elsevier B.V., All rights reserved. en_US
dc.identifier.doi 10.1016/B978-0-443-33871-7.00014-3
dc.identifier.endpage 309 en_US
dc.identifier.isbn 9780443338717
dc.identifier.isbn 9780443338724
dc.identifier.scopus 2-s2.0-105019731228
dc.identifier.scopusquality N/A
dc.identifier.startpage 297 en_US
dc.identifier.uri https://doi.org/10.1016/B978-0-443-33871-7.00014-3
dc.identifier.uri https://hdl.handle.net/20.500.14517/8545
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.publicationcategory Kitap Bölümü - Uluslararası en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Applied Linguistics en_US
dc.subject Bipolar Intuitionistic Fuzzy Graph en_US
dc.subject Decision-Making en_US
dc.subject Degree Centrality en_US
dc.subject Infectious Disease en_US
dc.subject Knowledge Representation and Reasoning en_US
dc.subject Location Selection en_US
dc.subject Mathematical Optimization en_US
dc.subject Operations Research en_US
dc.title Bipolar Intuitionistic Fuzzy Graph Centrality-Based Decision-Making Model to Prioritize Locations for Healthcare Camp during COVID-19 en_US
dc.type Book Part en_US
dspace.entity.type Publication

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