Research Article
Simulation-Based Fuzzy Logic Approach to Assessing the Effect of Project Quality Management on Construction Performance
Table 7
Sample of membership functions for the performance level of PQM practices.
| | Linguistic terms | Fuzzy membership functions | | 0% | 10% | 20% | 30% | 40% | 50% | 60% | 70% | 80% | 90% | 100% | Shape |
| | No formal approach | 1.00 | 1.00 | 0.67 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | Trap. | | Reactive approach | 0.00 | 0.00 | 0.50 | 1.00 | 1.00 | 0.67 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | Trap. | | Stable formal system | 0.00 | 0.00 | 0.00 | 0.00 | 0.33 | 0.67 | 1.00 | 0.67 | 0.33 | 0.00 | 0.00 | Triang. | | Continual improvement | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.50 | 1.00 | 0.50 | 0.00 | Triang. | | Best-in-class performance | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.50 | 1.00 | 1.00 | Trap. |
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