Optimizing decision-making with aggregation operators for generalized intuitionistic fuzzy sets and...
Optimizing decision-making with aggregation operators for generalized intuitionistic fuzzy sets and their applications in the tech industry
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Author / Creator
Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Intuitionistic fuzzy sets (IFSs) represent a significant advancement in classical fuzzy set (FS) theory. This study advances IFS theory to generalized intuitionistic fuzzy sets (GIFS
B
s) and introduces novel operators GIFWAA, GIFWGA, GIFOWAA, and GIFOWGA, tailored for GIFS
B
s. The primary aim is to enhance decision-making capabilities...
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Full title
Optimizing decision-making with aggregation operators for generalized intuitionistic fuzzy sets and their applications in the tech industry
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TN_cdi_doaj_primary_oai_doaj_org_article_8d89a258d16545f7a4a6e3f929ececda
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8d89a258d16545f7a4a6e3f929ececda
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-57461-9
