Research Article
Extended Research on Grey Target Decisions for a Variable Target Centre Based on Decision Maker Preferences
Table 1
Target centre distances normalised by different methods.
| Sic | 1.8 | 1.4 | 2.7 | 1.2 | 3.6 | 2.4 | 1.3 | 2.1 | 1.5 | 1.7 | Ra/3.6 | 1.8 | 2.2 | 0.9 | 2.4 | 0 | 1.2 | 2.3 | 1.5 | 2.1 | 1.9 | Rdd/4.0 | 2.2 | 2.6 | 1.3 | 2.8 | 0.4 | 1.6 | 2.7 | 1.9 | 2.5 | 2.3 | Rds/2.0 | 0.2 | 0.6 | 0 | 0.8 | 0 | 0 | 0.7 | 0 | 0.5 | 0.3 |
| Min-max method | ra | 0.7500 | 0.9167 | 0.3750 | 1.0000 | 0 | 0.5000 | 0.9583 | 0.6250 | 0.8750 | 0.7917 | rds | 0.7500 | 0.9167 | 0.3750 | 1.0000 | 0 | 0.5000 | 0.9583 | 0.6250 | 0.8750 | 0.7917 | rds | 0.2500 | 0.7500 | 0 | 1.0000 | 0 | 0 | 0.8750 | 0 | 0.6250 | 0.3750 |
| Vector method | ra | 0.3200 | 0.3911 | 0.1600 | 0.4266 | 0 | 0.2133 | 0.4088 | 0.2666 | 0.3733 | 0.3377 | rdd | 0.3234 | 0.3821 | 0.1911 | 0.4115 | 0.0588 | 0.2352 | 0.3968 | 0.2793 | 0.3674 | 0.3381 | rds | 0.1463 | 0.4388 | 0 | 0.5850 | 0 | 0 | 0.5119 | 0 | 0.3656 | 0.2194 |
| Linear proportional method | ra | 0.7500 | 0.9167 | 0.3750 | 1.0000 | 0 | 0.5000 | 0.9583 | 0.6250 | 0.8750 | 0.7917 | rdd | 0.7857 | 0.9286 | 0.4643 | 1.0000 | 0.1429 | 0.5714 | 0.9643 | 0.6786 | 0.8929 | 0.8214 | rds | 0.2500 | 0.7500 | 0 | 1.0000 | 0 | 0 | 0.8750 | 0 | 0.6250 | 0.3750 |
| Linear method | ra | 0.1104 | 0.1350 | 0.0552 | 0.1472 | 0 | 0.0736 | 0.1411 | 0.0920 | 0.1288 | 0.1166 | rdd | 0.1084 | 0.1281 | 0.0640 | 0.1379 | 0.0197 | 0.0788 | 0.1330 | 0.0936 | 0.1232 | 0.1133 | rds | 0.0645 | 0.1935 | 0 | 0.2581 | 0 | 0 | 0.2258 | 0 | 0.1613 | 0.0968 |
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