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

A. Thangavelu, S.R. Sathyaraj, R. Sridhar, S. Balasubramanian

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.

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References


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