The novel VIKOR methods for generalized Pythagorean fuzzy soft sets and its application to children of early childhood in COVID-19 quarantine

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dc.authorid0000-0003-4938-5207en_US
dc.authorid0000-0002-7750-6910en_US
dc.contributor.authorKirişçi, Murat
dc.contributor.authorDemir, İbrahim
dc.contributor.authorŞimşek, Necip
dc.contributor.authorTopaç, Nihat
dc.contributor.authorBardak, Musa
dc.date.accessioned2022-02-01T07:54:30Z
dc.date.available2022-02-01T07:54:30Z
dc.date.issued2021en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractIn this work, the new VIKOR methods are established using the generalized Pythagorean fuzzy soft sets (GPFSSs). For GPFSSs, the distance measures such as Hamming, Euclidean, and generalized are given. Further, the basic characteristics of these distance measures are examined. Fuzzy and soft sets are strong instruments for uncertainty. This strongness has been demonstrated by the GPFSS combining Pythagorean fuzzy sets and soft sets and applied to imprecise and ambiguous information. In this context, new remoteness index-based methods have been proposed, which are dissimilar from available VIKOR methods. The displaced and fixed ideals positive and negative Pythagorean fuzzy values (PFV) were defined. Thus, based on this definition, displaced positive ideal remoteness indices, negative ideal remoteness indices, and fixed positive ideal, negative ideal remoteness indices were discussed. Two different weights are used here: weights based on OF preference information and precise weights calculated with the expectation score function. The VIKOR method given here provides a different way from canonical VIKOR methods: rank candidate alternatives and determining a compromise solution based on different preference structures. The processes principles of the newly defined GPFSSs VIKOR methods are given by four algorithms. An example of these algorithms is given with the behavioral development and cognitive development of the children of Early Childhood children in the COVID-19 quarantine.en_US
dc.identifier.doi10.1007/s00521-021-06427-3en_US
dc.identifier.scopus2-s2.0-85114941562en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/5177
dc.identifier.urihttps://doi.org/10.1007/s00521-021-06427-3
dc.identifier.wosWOS:000696151500005en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofNeural Computing and Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRemoteness Index-Based VIKOR methoden_US
dc.subjectGeneralized Pythagorean fuzzy soft seten_US
dc.subjectMulti-attribute decision makingen_US
dc.subjectExpectation score functionen_US
dc.subjectEarly childhooden_US
dc.titleThe novel VIKOR methods for generalized Pythagorean fuzzy soft sets and its application to children of early childhood in COVID-19 quarantineen_US
dc.typeArticleen_US

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