From: Application of fuzzy multicriteria decision-making model in selecting pandemic hospital site
Case no | Criteria weight changes | Overall scores \((\mathrm{CCr})\) | Â | Ranking | ||
---|---|---|---|---|---|---|
\(\mathrm{A}1\) | \(\mathrm{A}2\) | \(\mathrm{A}3\) | \(\mathrm{A}4\) | |||
Case 1 | \({w}_{c1-c7}=(\mathrm{0.1,0.1,0.3})\) | 0.4294 | 0.4269 | 0.4306 | 0.4312 | \(A4>A3>A1>A2\) |
Case 2 | \({w}_{c1-c7}=(\mathrm{0.1,0.3,0.5})\) | 0.4863 | 0.4924 | 0.4798 | 0.4712 | \(A2>A1>A3>A4\) |
Case 3 | \({w}_{c1-c7}=(\mathrm{0.3,0.5,0.7})\) | 0.4909 | 0.4966 | 0.4852 | 0.4758 | \(A2>A1>A3>A4\) |
Case 4 | \({w}_{c1-c7}=(\mathrm{0.5,0.7,0.9})\) | 0.4942 | 0.4997 | 0.4889 | 0.4787 | \(A2>A1>A3>A4\) |
Case 5 | \({w}_{c1-c7}=(\mathrm{0.7,0.9,1.0})\) | 0.5116 | 0.5204 | 0.5047 | 0.4904 | \(A2>A1>A3>A4\) |
Case 6 | \({w}_{c1}=\left(\mathrm{0.7,0.9,1.0}\right),\) \({w}_{c2-c7}=(\mathrm{0.1,0.1,0.3})\) | 0.4617 | 0.4573 | 0.4447 | 0.4415 | \(A1>A2>A3>A4\) |
Case 7 | \({w}_{c2}=\left(\mathrm{0.7,0.9,1.0}\right),\) \({w}_{c1, c3-c7}=(\mathrm{0.1,0.1,0.3})\) | 0.4615 | 0.4448 | 0.4703 | 0.4609 | \(A3>A1>A4>A2\) |
Case 8 | \({w}_{c3}=\left(\mathrm{0.7,0.9,1.0}\right),\) \({w}_{c1-2, c4-c7}=(\mathrm{0.1,0.1,0.3})\) | 0.4405 | 0.4378 | 0.4426 | 0.4431 | \(A4>A3>A1>A2\) |
Case 9 | \({w}_{c4}=\left(\mathrm{0.7,0.9,1.0}\right),\) \({w}_{c1-c3,c5- c7}=(\mathrm{0.1,0.1,0.3})\) | 0.4479 | 0.4576 | 0.4472 | 0.4444 | \(A2>A1>A3>A4\) |
Case 10 | \({w}_{c5}=\left(\mathrm{0.7,0.9,1.0}\right),\) \({w}_{c1-4, c6-7}=(\mathrm{0.1,0.1,0.3})\) | 0.4521 | 0.4576 | 0.4472 | 0.4444 | \(A2>A1>A3>A4\) |
Case 11 | \({w}_{c6}=\left(\mathrm{0.7,0.9,1.0}\right),\) \({w}_{c1-5, c7}=(\mathrm{0.1,0.1,0.3})\) | 0.4615 | 0.4535 | 0.4703 | 0.4740 | \(A4>A3>A2>A1\) |
Case 12 | \({w}_{c7}=\left(\mathrm{0.7,0.9,1.0}\right),\) \({w}_{c1-6}=(\mathrm{0.1,0.1,0.3})\) | 0.4479 | 0.4573 | 0.4472 | 0.4415 | \(A2>A1>A3>A4\) |