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RETRACTED: A new integrated methodology for constructing linguistic pythagorean fuzzy statements for decision making problems (Retracted Article)

dc.contributor.authorIsik, Gurkan
dc.contributor.authorKaya, Ihsan
dc.date.accessioned2026-06-27T14:41:45Z
dc.date.issued2022
dc.description.abstractAs a combining concept of Pythagorean fuzzy sets (PFSs) and linguistic fuzzy sets (FSs), linguistic PFSs (LPFSs) has been suggested in the literature to deal with the uncertain and inconsistent information in multi-criteria decision making (MCDM) process. The LPFSs based procedure has been built by assuming that the experts make assessments suitable with PFS. It does not provide a mechanism to ensure the suitability of the assessments with theory of PFSs but there are other type of non-standard fuzzy sets such as Neutrosophic sets (NSs) used for modeling with inconsistent information. The main motivation of this study is to offer an assessment collection method to guarantee that the input statements will be Pythagorean fuzzy linguistic expressions. As a second motivation, it is aimed to extend the PFS method for the fuzzy modeling of the other type of decision-making problems apart from MCDM which do not require aggregation and comparison operations and continue with precise fuzzy modeling (PFM). The third motivation of this study is to offer enhancements on the LPFSs method to increase the sensitivity of the modeling while protecting the interpretability. For these purposes, a newmethodology based on LPFSs has been proposed and applied on a decision-making problem in a comparative way.en
dc.description.urihttps://doi.org/10.3233/jifs-213384
dc.identifier.doi10.3233/jifs-213384
dc.identifier.eissn1875-8967
dc.identifier.endpage4894
dc.identifier.issn1064-1246
dc.identifier.issue4
dc.identifier.startpage4883
dc.identifier.urihttps://hdl.handle.net/20.500.14981/63627
dc.identifier.volume43
dc.identifier.wos000841691300067
dc.language.isoeng
dc.publisherIOS PRESS
dc.relation.ispartofJOURNAL OF INTELLIGENT & FUZZY SYSTEMS
dc.subjectFuzzy modifiers
dc.subjectfuzzy sets
dc.subjectlinguistic terms
dc.subjectlinguistic 2-tuple statements
dc.subjectpythagorean fuzzy sets
dc.subjectAGGREGATION OPERATORS
dc.subjectComputer Science
dc.titleRETRACTED: A new integrated methodology for constructing linguistic pythagorean fuzzy statements for decision making problems (Retracted Article)
dc.typeArticle; Retracted Publication
dspace.entity.typePublication
local.import.sourceWOS

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