DILEEP KUMAR KADALI
@svecw.irins.org
Assistant Professor and IT
Shri Vishnu Engineering College for Women
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Engineering, Artificial Intelligence, Software, Computational Theory and Mathematics
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Dileep Kumar Kadali, R.N.V. Jagan Mohan, and M. Chandra Naik
International Hellenic University
Dileep Kumar Kadali, D. Venkata Naga Raju, and P. Venkata Rama Raju
Springer Nature Singapore
Dileep Kumar Kadali, M. Chandra Naik, and R. N. V. Jagan Mohan
Springer Nature Singapore
Naga Venkata Jagan Mohan Remani, Vankamamidi S. Naresh, Sivaranjani Reddi, and Kadali Dileep Kumar
Wiley
The significance of prisoner's dilemma in making two completely rational individuals might not cooperate even their best interest to do so. Every criminal investigation is strongly reliant on crime data classification and optimization. In this work, we extended prisoners' dilemma for crime data classification and its optimization. A confusion matrix‐based optimization technique for crime data with game theory model in order to identify the person involvement in crime is to be predicted and clustered them into confess, not confessed, and indeterministic states based on the neutrosophic logic principle. In this technique, first we map neutrosophic logic into crime system to break the uncertainties in crime clustering. Next, we preliminary cluster the crime data pairs that indicates two offenders neutrosophic values into three clusters. However, some pairs lie in intersections of two or three clusters. So we optimize the clustering into disjoint clusters will be done based on the ratio of intra‐cluster and inter‐cluster distances. We have implemented the proposed method. The experimental result shows that the quality of proposed method based on accuracy, precision, and recall parameters, observed more than 90% accuracy.