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Table 6 Fuzzy pairwise comparison matrices of criteria

From: Application of fuzzy multicriteria decision-making model in selecting pandemic hospital site

 

\(C1\)

\(C2\)

\(C3\)

\(C4\)

\(C1\)

(1.00, 1.00, 1.00)

(1.00, 1.26, 1.44)

(1.00, 1.26, 1.44)

(0.30, 0.44, 0.79)

\(C2\)

(0.69, 0.79, 1.00)

(1.00, 1.00, 1.00)

(0.30, 0.44, 0.79)

(0.26, 0.35, 0.55)

\(C3\)

(0.69, 0.79, 1.00)

(1.26, 2.29, 3.30)

(1.00, 1.00, 1.00)

(0.26, 0.35, 0.55)

\(C4\)

(1.26, 2.29, 3.30)

(1.82, 2.88, 3.91)

(1.82, 2.88, 3.91)

(1.00, 1.00, 1.00)

\(C5\)

(0.28, 0.38, 0.63)

(1.00, 1.26, 1.44)

(0.28, 0.38, 0.63)

(0.44, 0.55, 0.79)

\(C6\)

(0.69, 0.79, 1.00)

(1.26, 1.82, 2.29)

(0.48, 0.63, 1.00)

(0.26, 0.35, 0.55)

\(C7\)

(0.48, 0.63, 1.00)

(0.69, 1.00, 1.44)

(1.00, 1.59, 2.08)

(0.44, 0.55, 0.79)

 

\(C5\)

\(C6\)

\(C7\)

\(C1\)

(1.59, 2.62, 3.63)

(1.00, 1.26, 1.44)

(1.00, 1.59, 2.08)

\(C2\)

(0.69, 0.79, 1.00)

(0.44, 0.55, 0.79)

(0.69, 1.00, 1.44)

\(C3\)

(1.59, 2.62, 3.63)

(1.00, 1.59, 2.08)

(0.48, 0.63, 1.00)

\(C4\)

(1.26, 1.82, 2.29)

(1.82, 2.88, 3.91)

(1.26, 1.82, 2.29)

\(C5\)

(1.00, 1.00, 1.00)

(0.69, 0.79, 1.00)

(0.69, 1.00, 1.44)

\(C6\)

(1.00, 1.26, 1.44)

(1.00, 1.00, 1.00)

(0.69, 0.79, 1.00)

\(C7\)

(0.69, 1.00, 1.44)

(1.00, 1.26, 1.44)

(1.00, 1.00, 1.00)