Table 12 Tabular form of PF4BSS \((\zeta _1,\xi _1, \rho _1, 4)\) in Example 3.4

From: Pythagorean fuzzy N-bipolar soft sets-based multi-criteria decision-making framework for sustainability evaluation and risk assessment in manufacturing industries

\((\zeta _1,\xi _1, \rho _1, 4)\)

\(\varepsilon _1\)

\(\varepsilon _2\)

\(\varepsilon _3\)

\(\ell _1\)

\(\begin{array}{l} \langle 0, 0.2, 0.3 \rangle \\ \langle 3, 0.5, 0.6 \rangle \end{array}\)

\(\begin{array}{l} \langle 2, 0.6, 0.4 \rangle \\ \langle 1, 0.3, 0.5 \rangle \end{array}\)

\(\begin{array}{l} \langle 2, 0.7, 0.0 \rangle \\ \langle 0, 0.3, 0.3 \rangle \end{array}\)

\(\ell _2\)

\(\begin{array}{l} \langle 1, 0.3, 0.5 \rangle \\ \langle 2, 0.4, 0.6 \rangle \end{array}\)

\(\begin{array}{l} \langle 1, 0.4, 0.2 \rangle \\ \langle 1, 0.2, 0.4 \rangle \end{array}\)

\(\begin{array}{l} \langle 1, 0.5, 0.2 \rangle \\ \langle 2, 0.2, 0.7 \rangle \end{array}\)

\(\ell _3\)

\(\begin{array}{l} \langle 1, 0.3, 0.4 \rangle \\ \langle 0, 0.3, 0.3 \rangle \end{array}\)

\(\begin{array}{l} \langle 2, 0.7, 0.0 \rangle \\ \langle 0, 0.0, 0.1 \rangle \end{array}\)

\(\begin{array}{l} \langle 3, 0.6, 0.5 \rangle \\ \langle 0, 0.4, 0.1 \rangle \end{array}\)