Research Article
A Novel TOPSIS Method Based on Improved Grey Relational Analysis for Multiattribute Decision-Making Problem
Table 4
The ranking results of the comprehensive grey TOPSIS evaluation in this paper.
| | Normalized decision matrix | evaluation results | Rank | | | | | | | | | | | |
| | Drop out of alternative set | | |
| | 1 | 0.1842 | 1 | 0.875 | 1.0000 | 1 | 0 | 0.6667 | 0.7179 | 0.6004 | 0.7143 | 0.5557 | 2 | | 0.875 | 1 | 0.8 | 1 | 0.8913 | 1 | 1 | 0.8333 | 1 | 0.6004 | 0.4286 | 0.6387 | 1 | | 0.6 | 0.4211 | 0.8 | 1 | 0.7283 | 0.7143 | 0.2 | 0.667 | 1 | 0.3105 | 0.4286 | 0.4982 | 3 | | 0.25 | 0.0105 | 0 | 0.8958 | 0.2609 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2339 | 6 | | 0 | 0 | 0.2 | 0.0833 | 0.0435 | 0.2857 | 0 | 1 | 0.5128 | 0.941 | 1 | 0.3908 | 5 | | 0.05 | 0 | 0.2 | 0 | 0 | 0.2857 | 1 | 0.9867 | 0.9744 | 1 | 1 | 0.4698 | 4 |
| | Add a new alternative to the original alternative set | | |
| | 1 | 0.1842 | 1 | 0.875 | 1 | 1 | 0.5 | 0.6667 | 0.7179 | 0.6004 | 0.6667 | 0.6145 | 2 | | 0.875 | 1 | 0.8 | 1 | 0.8913 | 1 | 1 | 0.8333 | 1 | 0.6004 | 0.4 | 0.6733 | 1 | | 0.6 | 0.4211 | 0.8 | 1 | 0.7283 | 0.7143 | 0.6 | 0.6667 | 1 | 0.3105 | 0.4 | 0.5467 | 3 | | 0.25 | 0.0105 | 0 | 0.8958 | 0.2609 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0.2577 | 8 | | 0 | 0 | 0.2 | 0.0833 | 0.0435 | 0.2857 | 0.5 | 1 | 0.5128 | 0.941 | 0.9333 | 0.4134 | 7 | | 0.05 | 0 | 0.2 | 0 | 0 | 0.2857 | 1 | 0.9867 | 0.9744 | 1 | 0.9333 | 0.4794 | 5 | | 0.05 | 0.0053 | 0.2 | 0 | 0 | 0.2857 | 0 | 1 | 0.9744 | 1 | 1 | 0.4301 | 6 | | 0.05 | 0 | 0.22 | 0 | 0 | 0.3571 | 1 | 1 | 0.9744 | 1 | 1 | 0.4940 | 4 |
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