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dc.contributor.authorAkram, Muhammad
dc.contributor.authorSultan, Maheen
dc.contributor.authorAlcantud, José Carlos R. 
dc.date.accessioned2024-09-13T06:45:40Z
dc.date.available2024-09-13T06:45:40Z
dc.date.issued2023
dc.identifier.citationAkram, M., Sultan, M., & Alcantud, J. C. R. (2023). An integrated ELECTRE method for selection of rehabilitation center with m -polar fuzzy N -soft information. Artificial Intelligence in Medicine, 135, 102449. https://doi.org/10.1016/j.artmed.2022.102449es_ES
dc.identifier.issn0933-3657
dc.identifier.urihttp://hdl.handle.net/10366/159545
dc.description.abstract[EN] The primary goal of this research article is to apply ELECTRE I, a fundamental multi-criteria group decisionmaking technique, in an 𝑚-polar fuzzy 𝑁-soft environment. This new methodology helps us to pinpoint the best alternative(s) in the presence of multi-polar options with 𝑁-graded qualities. Its basic operational idea entails the comparison between any two alternatives by the assessment of score degrees. Concordance and discordance indices are then calculated to evaluate the alternatives’ superiority and inferiority. We may disqualify the incompetent alternatives using concordance and discordance levels. An 𝑚-polar fuzzy 𝑁-soft dominance matrix can represent the combined effect of concordance and discordance dominance matrices. The steps of this new multi-criteria group decision making technique are summarized in a flowchart. In order to demonstrate its authenticity and applicability, we employ a case study involving the establishment of a rehabilitation facility for drug abusers. A comparison with the 𝑚-polar fuzzy PROMETHEE and 𝑚-polar fuzzy ELECTRE I methodologies establishes its validity. Finally, we conclude our study of the methodology proposed in this paper with a critical analysis of its benefits and drawbacks.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectm-polar fuzzy setes_ES
dc.subjectFuzzy N-soft setes_ES
dc.subjectELECTRE Ies_ES
dc.subjectPROMETHEEes_ES
dc.titleAn integrated ELECTRE method for selection of rehabilitation center with m-polar fuzzy N-soft informationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttp://dx.doi.org/10.1016/j.artmed.2022.102449es_ES
dc.subject.unesco12 Matemáticases_ES
dc.identifier.doi10.1016/j.artmed.2022.102449
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleArtificial Intelligence in Medicinees_ES
dc.volume.number135es_ES
dc.page.initial1es_ES
dc.page.final15es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES
dc.description.projectPublicación en abierto financiada por la Universidad de Salamanca como participante en el Acuerdo Transformativo CRUE-CSIC con Elsevier, 2021-2024es_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Exceto quando indicado o contrário, a licença deste item é descrito como Attribution-NonCommercial-NoDerivatives 4.0 Internacional