Research Article
MCDM Approach for Assigning Task to the Workers by Selected Features Based on Multiple Criteria in Crowdsourcing
Table 12
Normalized decision matrix.
| Weighted normalized data | Attributes | Worker history | Trustworthiness/honesty | Qualification | Reliability | Response ratio/quality of response | Skill level | Quality of task | Delivery time | Cheap/cost-effective/cost-efficient | S+ | S− |
| W1 | 0.037 | 0.037 | 0.033 | 0.042 | 0.023 | 0.013 | 0.055 | 0.042 | 0.044 | 0.050 | 0.078 | W2 | 0.019 | 0.021 | 0.053 | 0.031 | 0.029 | 0.031 | 0.037 | 0.055 | 0.039 | 0.054 | 0.074 | W3 | 0.056 | 0.037 | 0.053 | 0.026 | 0.041 | 0.031 | 0.037 | 0.024 | 0.028 | 0.045 | 0.078 | W4 | 0.031 | 0.037 | 0.026 | 0.042 | 0.053 | 0.027 | 0.030 | 0.049 | 0.039 | 0.080 | 0.080 | W5 | 0.044 | 0.026 | 0.020 | 0.042 | 0.053 | 0.027 | 0.024 | 0.012 | 0.033 | 0.067 | 0.070 | W6 | 0.025 | 0.042 | 0.046 | 0.026 | 0.018 | 0.027 | 0.055 | 0.006 | 0.028 | 0.073 | 0.059 | W7 | 0.050 | 0.042 | 0.046 | 0.026 | 0.018 | 0.027 | 0.055 | 0.006 | 0.028 | 0.066 | 0.071 | W8 | 0.012 | 0.026 | 0.046 | 0.016 | 0.012 | 0.036 | 0.037 | 0.012 | 0.044 | 0.082 | 0.047 | W9 | 0.044 | 0.037 | 0.046 | 0.031 | 0.047 | 0.040 | 0.018 | 0.024 | 0.028 | 0.054 | 0.073 | W10 | 0.006 | 0.032 | 0.020 | 0.005 | 0.047 | 0.036 | 0.055 | 0.030 | 0.022 | 0.078 | 0.061 | Positive ideal | 0.056 | 0.042 | 0.053 | 0.042 | 0.053 | 0.040 | 0.055 | 0.055 | 0.044 | | | Negative ideal | 0.006 | 0.021 | 0.020 | 0.005 | 0.012 | 0.013 | 0.018 | 0.006 | 0.022 | | |
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