Table 4 Decision mat.

From: Numerical simulations of blood flow in a stenosed artery using a multi-criteria decision-making Algorithm

Sr.

M

St

Re

Da

K

Rd

Peh

Pem

Sr

\(\:\varvec{\beta\:}\)

Phi

\(\:1\)

\(\:16\)

\(\:2.8\times\:{10}^{-1}\:\)

\(\:8.14\:\times\:{10}^{2}\:\)

\(\:8\times\:{10}^{-3}\)

\(\:1\)

\(\:1\)

\(\:654\)

\(\:334\)

\(\:1.8\)

\(\:0.5\)

\(\:5\times\:{10}^{-3}\)

\(\:2\)

\(\:3\)

\(\:6\times\:{10}^{-2}\:\)

\(\:6.32\times\:{10}^{2}\)

\(\:4\times\:{10}^{-3}\)

\(\:0.6\)

\(\:0.8\)

\(\:527\)

\(\:430\)

\(\:1.9\)

\(\:0.5\)

\(\:4\times\:{10}^{-3}\)

\(\:3\)

\(\:3\)

\(\:8\times\:{10}^{-2}\:\)

\(\:7.76\times\:{10}^{2}\)

\(\:5\times\:{10}^{-3}\)

\(\:1.1\)

\(\:0.6\)

\(\:996\)

\(\:908\)

\(\:1.6\)

\(\:0.6\)

\(\:5\times\:{10}^{-3}\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:\vdots\)

\(\:34\)

\(\:2\)

\(\:2.2\times\:{10}^{-1}\:\)

\(\:9.74\times\:{10}^{2}\)

\(\:9\times\:{10}^{-3}\)

\(\:0.4\)

\(\:2.9\)

\(\:363\)

\(\:478\)

\(\:1.0\)

\(\:1.1\)

\(\:4\times\:{10}^{-3}\)

\(\:35\)

\(\:18\)

\(\:5\times\:{10}^{-2}\:\)

\(\:5.47\times\:{10}^{2}\)

\(\:5\times\:{10}^{-3}\)

\(\:0.9\)

\(\:0.5\)

\(\:625\)

\(\:834\)

\(\:2.0\)

\(\:0.7\)

\(\:3\times\:{10}^{-3}\)

\(\:36\)

\(\:19\)

\(\:1.3\times\:{10}^{-1}\:\)

\(\:1.057\times\:{10}^{3}\)

\(\:6\times\:{10}^{-3}\)

\(\:0.9\)

\(\:1.0\)

\(\:510\)

\(\:605\)

\(\:1.6\)

\(\:1.1\)

\(\:3\times\:{10}^{-3}\)