Fuzzy Logic based Recommendation System for Road Accident Data Analysis

Road accidents are becoming a life threatening thing which is believed as one of the public health hazards in recent days. As the road transportation is growing considerably, the occurrence of accidents due to these transportations lead a serious human and financial losses. Ensuring the road safety is a foremost concern for a safe transportation. The current road accident studies spotlight the risk factors analysis which impacts the accident severity. This paper analyzes a heterogeneous road accident dataset using a data miner based on grammatical fuzzy logic in order to get the information pertaining to our research perspective. These information enables to provide recommendations in order to cut-off the number of road accidents in the places where the accident rate is high. The experimentation part is carried out using MATLAB software and the comparison is made with existing fuzzy approach to prove the performance of proposed algorithm based on accuracy, precision and recall.