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Fuzzy Logic Association Rules Integrating with Matlab for Effective Policing in Crime Analysis


Affiliations
1 DRDO-BU CLS, Bharathiar University, Coimbatore-641046, India
2 Department of MCA, Sri Ramakrishna Mission Vidyalaya, Coimbatore-641020, India
3 Department of Environmental Science, JSS University, Mysore-500015, India
     

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Fuzzy logic systems are generally recovered for device, system identification, and pattern gratitude complications. Fuzzy logic has become a much conversed technique in mathematical, engineering literature; it has not yet found application in social science fields. Currently, this system is a nonlinear mapping from an input space to an output space that can be parameterized in various ways. Fuzzy logic is widely used in the current application and to solve social problems (for identification and management of law enforcement) and criminal justices when compared to classic logic. Fuzzy logic has the potential to add human-like subjective reasoning capabilities to machine intelligence.

Keywords

Association Rules, Crime Data, Fuzzy Logic, Matlab, Map Object.
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  • Fuzzy Logic Association Rules Integrating with Matlab for Effective Policing in Crime Analysis

Abstract Views: 211  |  PDF Views: 2

Authors

A. Thangavelu
DRDO-BU CLS, Bharathiar University, Coimbatore-641046, India
S. R. Sathyaraj
DRDO-BU CLS, Bharathiar University, Coimbatore-641046, India
R. Sridhar
Department of MCA, Sri Ramakrishna Mission Vidyalaya, Coimbatore-641020, India
S. Balasubramanian
Department of Environmental Science, JSS University, Mysore-500015, India

Abstract


Fuzzy logic systems are generally recovered for device, system identification, and pattern gratitude complications. Fuzzy logic has become a much conversed technique in mathematical, engineering literature; it has not yet found application in social science fields. Currently, this system is a nonlinear mapping from an input space to an output space that can be parameterized in various ways. Fuzzy logic is widely used in the current application and to solve social problems (for identification and management of law enforcement) and criminal justices when compared to classic logic. Fuzzy logic has the potential to add human-like subjective reasoning capabilities to machine intelligence.

Keywords


Association Rules, Crime Data, Fuzzy Logic, Matlab, Map Object.