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Table 10

Richmond network model predictions for both perfect and imperfect input data (Boolean and fuzzy)

Sensor typeModel accuracy
Top 3Top 5Top 8Top 10
Perfect 80.20% 88.90% 94.50% 96.30% 
Fuzzy 52.00% 65.40% 77.91% 81.20% 
Boolean 30.85% 42.40% 54.80% 60.00% 
Sensor typeModel accuracy
Top 3Top 5Top 8Top 10
Perfect 80.20% 88.90% 94.50% 96.30% 
Fuzzy 52.00% 65.40% 77.91% 81.20% 
Boolean 30.85% 42.40% 54.80% 60.00% 

The number of model inputs was 3.7 million for all three sensor types.

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