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Table 3 Results obtained under various methods for the most suitable pattern

From: Nonlinear distance measures under the framework of Pythagorean fuzzy sets with applications in problems of pattern recognition, medical diagnosis, and COVID-19 medicine selection

Distance measures

Distances between patterns

Most suitable pattern

\(\left( {P_{1} ,Q} \right)\)

\(\left( {P_{2} ,Q} \right)\)

\(\left( {P_{3} ,Q} \right)\)

\({\mathbf{\mathcal{D}}}_{H}\)

1.1000

0.3000

1.4000

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{E}\)

0.5657

0.1732

0.8718

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{nH}\)

0.3667

0.1000

0.4667

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\varvec{nE}}}}\)

0.3266

0.1000

0.5033

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{BA}}}}^{1}\)

0.0803

0.0241

0.1983

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{BA}}}}^{2}\)

0.2754

0.1000

0.3316

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{G}\)

0.3667

0.1000

0.4667

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{YF}}}}\)

0.3667

0.1000

0.4667

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{WX}}}}\)

0.3250

0.1000

0.4167

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{JHP}}}}\)

0.3667

0.1000

0.4667

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{SF}}}}\)

0.1112

0.0229

0.2005

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{RX}}}}\)

0.4823

0.1439

0.5393

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{PY}}}}\)

0.4967

0.1500

0.5467

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{EA}}}}\)

0.0903

0.0687

0.1146

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{SB}}}}\)

0.4889

0.1856

0.4933

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{MP}}}}\)

0.5375

0.1551

0.5995

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{Chd}},1}}\)

0.5101

0.2469

0.5172

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{Chd}},2}}\)

0.8527

0.5334

0.8649

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{nAChd}},1}}^{0.2}\)

0.4343

0.2302

0.5023

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{nAChd}},1}}^{0.6}\)

0.1624

0.0667

0.1703

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{nAChd}},2}}^{0.2}\)

0.5001

0.3426

0.5324

\(P_{2}\)

\({\mathbf{\mathcal{D}}}_{{{\text{nAChd}},2}}^{0.6}\)

0.1628

0.1042

0.1718

\(P_{2}\)