The Criteria Importance Through Inter-Criteria Correlation (CRITIC) in Uncertainty Environment

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dc.contributor.authorHosseinzadeh Lotfi, F.
dc.contributor.authorAllahviranloo, T.
dc.contributor.authorPedrycz, W.
dc.contributor.authorShahriari, M.
dc.contributor.authorSharafi, H.
dc.contributor.authorRazipour, GhalehJough, S.
dc.date.accessioned2024-05-19T14:34:23Z
dc.date.available2024-05-19T14:34:23Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThe chapter begins by discussing the conventional CRITIC method and its algorithm, providing a foundation for understanding the subsequent introduction of the fuzzy variant. An example scenario is presented to demonstrate the evaluation and prioritization of projects based on seven specific criteria. The CRITIC method is applied, allowing decision-makers to assess the relative importance of each criterion and make informed decisions regarding project selection. Subsequently, the chapter introduces the fuzzy extension of the CRITIC method. The algorithm of the fuzzy CRITIC is explained in detail, highlighting the utilization of fuzzy data to represent uncertain and imprecise information in decision-making. To illustrate the application of the fuzzy CRITIC method, a case study is presented involving the search for an optimal location for a solar farm. Fuzzy trapezoidal data is utilized to capture the inherent uncertainty associated with various location factors. The combination of theoretical explanations, algorithmic discussions, and practical examples offers a comprehensive understanding of the fuzzy CRITIC method's potential for decision-making in complex and uncertain environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.en_US
dc.description.sponsorshipA special thanks to the Iranian DEA society for their unwavering spiritual support and consensus in the writing of this book. Your invaluable support has been truly remarkable, and we are deeply grateful for the opportunity to collaborate with such esteemed professionals.en_US
dc.identifier.doi10.1007/978-3-031-44742-6_13
dc.identifier.endpage324en_US
dc.identifier.issn1860-949X
dc.identifier.scopus2-s2.0-85184671006en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage309en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-44742-6_13
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4476
dc.identifier.volume1121en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofStudies in Computational Intelligenceen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.titleThe Criteria Importance Through Inter-Criteria Correlation (CRITIC) in Uncertainty Environmenten_US
dc.typeBook Chapteren_US

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