Research Article
MCDM Approach for Assigning Task to the Workers by Selected Features Based on Multiple Criteria in Crowdsourcing
Table 11
Normalized decision matrix.
| Attributes | Worker history | Trustworthiness/honesty | Qualification | Reliability | Response ratio/quality of response | Skill level | Quality of task | Delivery time | Cheap/cost-effective/cost-efficient |
| W1 | 0.33 | 0.35 | 0.26 | 0.40 | 0.19 | 0.14 | 0.45 | 0.42 | 0.42 | W2 | 0.16 | 0.20 | 0.42 | 0.30 | 0.24 | 0.32 | 0.30 | 0.54 | 0.37 | W3 | 0.49 | 0.35 | 0.42 | 0.25 | 0.34 | 0.32 | 0.30 | 0.24 | 0.26 | W4 | 0.27 | 0.35 | 0.21 | 0.40 | 0.43 | 0.27 | 0.25 | 0.48 | 0.37 | W5 | 0.38 | 0.25 | 0.16 | 0.40 | 0.43 | 0.27 | 0.20 | 0.12 | 0.32 | W6 | 0.22 | 0.39 | 0.37 | 0.25 | 0.14 | 0.27 | 0.45 | 0.06 | 0.26 | W7 | 0.44 | 0.39 | 0.37 | 0.25 | 0.14 | 0.27 | 0.45 | 0.06 | 0.26 | W8 | 0.11 | 0.25 | 0.37 | 0.15 | 0.10 | 0.36 | 0.30 | 0.12 | 0.42 | W9 | 0.38 | 0.35 | 0.37 | 0.30 | 0.39 | 0.41 | 0.15 | 0.24 | 0.26 | W10 | 0.05 | 0.30 | 0.16 | 0.05 | 0.39 | 0.36 | 0.45 | 0.30 | 0.21 | Weights | 0.114 | 0.107 | 0.125 | 0.105 | 0.122 | 0.098 | 0.122 | 0.101 | 0.105 |
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