In our case, seven fuzzy rules for cluster 1 and eight fuzzy rules for cluster 2 have been evolved by DEFES to simulate the behavior of stock price shown in Fig. 12.
In this section, we present the fusions rules for clustered WSNs in the CH and FC levels.
Association rules for cluster 6 indicate that vehicle roll-over accidents are occurred at night in forest area and roads near agriculture land areas.
Association rules for cluster 4 indicate that multi-vehicular and fixed object/divider hit accidents are mostly occurred at night time on highway roads.
Association rules for cluster 2 indicates that forest area and agriculture land area that are aside of certain highways are dangerous for two wheeler accidents as sudden bend, slope at night time can cause imbalance of driver and may cause accidents.
The MST method incorporated the BURST algorithm as a set of priority rules for cluster analysis [ 15].
Association rule for cluster 3 shows that most of the vehicle-fall from height accidents involved more than 2 injured.
Association rule for cluster 5 shows that local colonies on non-highways locations are the major places of pedestrian hit cases.
Association rule for cluster 1 shows that two wheeler accidents are mainly occurs on specific road segments such as intersections at community areas, i.e., colony, markets and hospitals.
This high prediction error rate is partly explained by the lack of any SNP-based rule for cluster B. Canonical discriminant analysis (CDA) was performed in CD patients and healthy controls, separately.
