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dc.contributor.authorPérez Pupo, Iliana-
dc.contributor.authorAl-Subhi, Salah Hasan-
dc.contributor.authorPiñero Pérez, Pedro Yobanis-
dc.contributor.authorGarcía Vacacela, Roberto-
dc.contributor.authorMartínez Noriega, Hugo A.-
dc.description.abstractIn the proposal, multilayer networks are built where the layers represent the different elements that make up the linguistic summaries and systems with single–value triangular neutrosophic numbers are combined for the computation of the inference. In the validation, the new inference model was applied in the scenario of making–decision in project management and the “Arithmetic mean of the error in the prediction” was applied as a metric. Comparisons are made by evaluating the inference model with different abstract parameters. In addition, the linguistic summaries are combined with the fuzzy cognitive maps and the extension NCM_LDS is generated. The new proposed extension is compared with other map extensions, it is shown that the proposed inference mode–lo reports better results than the rest of the maps in the diagnostic stage, but that it does not have significantly better results than the m–FCM in the decision and prognosis stages. Pág. 93The NCM_Indeterminacy map is shown to be the one with the worst results.en_US
dc.publisherEdiciones Futuroen_US
dc.titleNew linguistic data summarization approach in predictions problems in a project management applicationen_US
dc.rights.holderUniversidad de las Ciencias Informáticasen_US
dc.source.titleUCIENCIA 2021en_US
dc.source.conferencetitleIV Taller Internacional de Gestion de Proyectosen_US
Aparece en las colecciones: UCIENCIA 2021

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