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Table 5 The assessment matrix of six medicines with respect to their performance evaluation factors in terms of PFSs

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

Performance Index \(\to\)

Medicines \(\downarrow\)

\(C_{1}\)

\(C_{2}\)

\(C_{3}\)

\(C_{4}\)

\(C_{5}\)

\(C_{6}\)

\(C_{7}\)

\(C_{8}\)

\(M_{1}\)

\(\left( {0.2,0.7} \right)\)

\(\left( {0.2,0.6} \right)\)

\(\left( {0.4,0.7} \right)\)

\(\left( {0.5,0.8} \right)\)

\(\left( {0.5,0.6} \right)\)

\(\left( {0.5,0.7} \right)\)

\(\left( {0.1,0.7} \right)\)

\(\left( {0.5,0.8} \right)\)

\(M_{2}\)

\(\left( {0.4,0.7} \right)\)

\(\left( {0.3,0.9} \right)\)

\(\left( {0.1,0.8} \right)\)

\(\left( {0.4,0.7} \right)\)

\(\left( {0.7,0.7} \right)\)

\(\left( {0.4,0.6} \right)\)

\(\left( {0.4,0.8} \right)\)

\(\left( {0.3,0.6} \right)\)

\(M_{3}\)

\(\left( {0.2,0.9} \right)\)

\(\left( {0.1,0.8} \right)\)

\(\left( {0.2,0.7} \right)\)

\(\left( {0.4,0.4} \right)\)

\(\left( {0.6,0.7} \right)\)

\(\left( {0.3,0.8} \right)\)

\(\left( {0.2,0.9} \right)\)

\(\left( {0.4,0.7} \right)\)

\(M_{4}\)

\(\left( {0.1,0.7} \right)\)

\(\left( {0.4,0.7} \right)\)

\(\left( {0.4,0.8} \right)\)

\(\left( {0.2,0.5} \right)\)

\(\left( {0.3,0.7} \right)\)

\(\left( {0.2,0.8} \right)\)

\(\left( {0.3,0.7} \right)\)

\(\left( {0.5,0.5} \right)\)

\(M_{5}\)

\(\left( {0.1,0.6} \right)\)

\(\left( {0.2,0.9} \right)\)

\(\left( {0.3,0.8} \right)\)

\(\left( {0.4,0.6} \right)\)

\(\left( {0.1,0.8} \right)\)

\(\left( {0.9,0.2} \right)\)

\(\left( {0.8,0.3} \right)\)

\(\left( {0.8,0.4} \right)\)

\(M_{6}\)

\(\left( {0.3,0.8} \right)\)

\(\left( {0.3,0.6} \right)\)

\(\left( {0.4,0.9} \right)\)

\(\left( {0.1,0.8} \right)\)

\(\left( {0.4,0.7} \right)\)

\(\left( {0.1,0.9} \right)\)

\(\left( {0.2,0.8} \right)\)

\(\left( {0.6,0.7} \right)\)