Table 6 The comparison of solutions using the TOPSIS approach.
Accuracy parameter (\({\varvec{\mu}})\) | Corresponding optimal solution | Preferred solution (Proposed Method) | Preferred solution (Nomani’s Method) | Ranking | |
|---|---|---|---|---|---|
Proposed Method | Nomani’s Method | ||||
\(0.997\) | \((\text{25921.84,98222.28,47982.31})\) | \((\text{27119.33,81968.72,45443.77})\) | \((\text{25921.84,68797.39,44233.38})\) | \(0.63915\) | \(0.35465\) |
\(0.997\) | \((\text{25921.84,98222.28,47982.31})\) | \((\text{27119.33,81968.72,45443.77})\) | \((\text{25921.84,68797.39,44233.38})\) | \(0.63915\) | \(0.35465\) |
\(0.99685\) | \((\text{25921.74,98221.69,47981.98})\) | \((\text{27119.24,81967.93,45443.42})\) | \((\text{25921.74,68796.48,44233.17})\) | \(0.63915\) | \(0.35464\) |
\(0.98697\) | \((\text{25914.69,98183.40,47960.13})\) | \((\text{27119.24,81967.93,45443.42})\) | \((\text{25914.69,68775.48,44214.74})\) | \(0.63864\) | \(0.35463\) |
\(0.96156\) | \((\text{25896.96,98086.96,47905.10})\) | \((\text{27113.31,81916.71,45420.45})\) | \((\text{25896.96,68720.35,44168.61})\) | \(0.63738\) | \(0.35467\) |
\(0.98844\) | \((\text{25915.74,98189.07,47963.36})\) | \((\text{27114.18,81924.31,45423.85})\) | \((\text{25915.74,68777.90,44217.56})\) | \(0.66028\) | \(0.35462\) |
\(0.99548\) | \((\text{25920.75,98216.36,47978.93})\) | \((\text{27118.41,81960.80,45440.22})\) | \((\text{25920.75,68794.06,44230.54})\) | \(0.63908\) | \(0.35465\) |
\(0.99948\) | \((\text{25923.63,98231.97,47987.84})\) | \((\text{27120.83,81981.69,45449.58})\) | \((\text{25923.63,68802.17,44238.11})\) | \(0.63928\) | \(0.35464\) |
\(0.9917\) | \((\text{25918.05,98201.68,47970.56})\) | \((\text{27116.13,81941.14,45431.41})\) | \((\text{25918.05,68785.78,44223.50})\) | \(0.63888\) | \(0.35464\) |
\(0.9993\) | \((\text{27120.72,81980.73,45449.16})\) | \((\text{27120.72,81980.73,45449.16})\) | \((\text{25923.50,68801.85,44237.76})\) | \(0.63927\) | \(0.35464\) |
