Research Article
Selection of Desalination System for Commercial Vessels by Implementing Improved Intuitionistic Fuzzy TOPSIS Method
Table 4
Grading the decision-makers with intuitionistic fuzzy linguistic variables and impact percentages of all decision-makers [
45].
| | Decision-maker | Years of expertise in desalination systems | Position | Degree | μ | ν | π | Effective percentage on result (%) |
| | Expert 1 | 3 | Third officer | B.Sc. | 0.10 | 0.75 | 0.15 | 1.42 | | Expert 2 | 5 | Second officer | B.Sc. | 0.50 | 0.50 | 0.00 | 6.05 | | Expert 3 | 11 | Academician | Ph.D. | 0.75 | 0.10 | 0.15 | 10.68 | | Expert 4 | 4 | Academician | M.Sc. | 0.25 | 0.60 | 0.15 | 3.56 | | Expert 5 | 12 | First officer | B.Sc. | 0.75 | 0.10 | 0.15 | 10.68 | | Expert 6 | 7 | Academician | Ph.D. | 0.60 | 0.25 | 0.15 | 8.54 | | Expert 7 | 10 | Academician | Ph.D. | 0.75 | 0.10 | 0.15 | 10.68 | | Expert 8 | 8 | First officer | B.Sc. | 0.60 | 0.25 | 0.15 | 8.54 | | Expert 9 | 8 | First officer | B.Sc. | 0.60 | 0.25 | 0.15 | 8.54 | | Expert 10 | 8 | First officer | B.Sc. | 0.60 | 0.25 | 0.15 | 8.54 | | Expert 11 | 14 | Master | B.Sc. | 0.75 | 0.10 | 0.15 | 10.68 | | Expert 12 | 5 | Second officer | B.Sc. | 0.50 | 0.50 | 0.00 | 6.05 | | Expert 13 | 5 | Second officer | B.Sc. | 0.50 | 0.50 | 0.00 | 6.05 |
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