Table 2 PyFVs-based pairwise comparison decision matrix.

From: A Pythagorean fuzzy MCDM model for evaluating career happiness in sports by selecting a suitable sport

Alternatives

\({\text{y}}_{1}\)

\({\text{y}}_{2}\)

\({\text{y}}_{3}\)

\({\text{y}}_{4}\)

\({\upbeta}_{1}\)

\(\left( {\begin{array}{*{20}c} {0.55,} \\ {0.55} \\ \end{array} } \right)\)

\(\left( {\begin{array}{*{20}c} {0.43,} \\ {0.82} \\ \end{array} } \right)\)

\(\left( {\begin{array}{*{20}c} {0.54,} \\ {0.73} \\ \end{array} } \right)\)

\(\left( {\begin{array}{*{20}c} {0.65,} \\ {0.61} \\ \end{array} } \right)\)

\({\upbeta}_{2}\)

\(\left( {\begin{array}{*{20}c} {0.82,} \\ {0.43} \\ \end{array} } \right)\)

\(\left( {\begin{array}{*{20}c} {0.55,} \\ {0.55} \\ \end{array} } \right)\)

\(\left( {\begin{array}{*{20}c} {0.52,} \\ {0.69} \\ \end{array} } \right)\)

\(\left( {\begin{array}{*{20}c} {0.55,} \\ { 0.66} \\ \end{array} } \right)\)

\({\upbeta}_{3}\)

\(\left( {\begin{array}{*{20}c} {0.73, } \\ {0.54} \\ \end{array} } \right)\)

\(\left( {\begin{array}{*{20}c} {0.69, } \\ {0.52} \\ \end{array} } \right)\)

\(\left( {\begin{array}{*{20}c} {0.55,} \\ {0.55} \\ \end{array} } \right)\)

\(\left( {\begin{array}{*{20}c} {0.89,} \\ { 0.42} \\ \end{array} } \right)\)

\({\upbeta}_{4}\)

\(\left( {\begin{array}{*{20}c} {0.61, } \\ {0.65} \\ \end{array} } \right)\)

\(\left( {\begin{array}{*{20}c} {0.66,} \\ { 0.55} \\ \end{array} } \right)\)

\(\left( {\begin{array}{*{20}c} {0.42, } \\ {0.89} \\ \end{array} } \right)\)

\(\left( {\begin{array}{*{20}c} {0.55,} \\ {0.55} \\ \end{array} } \right)\)