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Similarity Measures Based on T-Spherical Fuzzy Information with Applications to Pattern Recognition...

Similarity Measures Based on T-Spherical Fuzzy Information with Applications to Pattern Recognition...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2633192156

Similarity Measures Based on T-Spherical Fuzzy Information with Applications to Pattern Recognition and Decision Making

About this item

Full title

Similarity Measures Based on T-Spherical Fuzzy Information with Applications to Pattern Recognition and Decision Making

Publisher

Basel: MDPI AG

Journal title

Symmetry (Basel), 2022-02, Vol.14 (2), p.410

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

T-spherical fuzzy set (TSFS) is a fuzzy layout aiming to provide a larger room for the processing of uncertain information-based data where four aspects of unpredictable information are studied. The frame of picture fuzzy sets (PFSs) and intuitionistic fuzzy sets (IFSs) provide limited room for processing such kinds of information. On a scale of ze...

Alternative Titles

Full title

Similarity Measures Based on T-Spherical Fuzzy Information with Applications to Pattern Recognition and Decision Making

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2633192156

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2633192156

Other Identifiers

ISSN

2073-8994

E-ISSN

2073-8994

DOI

10.3390/sym14020410

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