A HYBRID FUZZY MACHINE LEARNING FRAMEWORK FOR CRIME PREDICTION IN DATA SCARCE ENVIRONMENTS: APPLICATION TO QUETTA DIVISION, BALOCHISTAN

Shaista Sarwar; Noor Ahmed; Muhammad Dawood; Naseer Ahmed

A HYBRID FUZZY MACHINE LEARNING FRAMEWORK FOR CRIME PREDICTION IN DATA SCARCE ENVIRONMENTS: APPLICATION TO QUETTA DIVISION, BALOCHISTAN

Authors

Shaista Sarwar
Noor Ahmed
Muhammad Dawood
Naseer Ahmed

Keywords:

Crime Prediction, Fuzzy Logic, Machine Learning, Hybrid Models, Explainable AI, Fuzzy-Rough, Predictive Policing, Data Scarcity, Quetta Division, Balochistan, Feature Selection

Abstract

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Published

2025-09-26

How to Cite

Shaista Sarwar, Noor Ahmed, Muhammad Dawood, & Naseer Ahmed. (2025). A HYBRID FUZZY MACHINE LEARNING FRAMEWORK FOR CRIME PREDICTION IN DATA SCARCE ENVIRONMENTS: APPLICATION TO QUETTA DIVISION, BALOCHISTAN. Spectrum of Engineering Sciences, 3(9), 1237–1255. Retrieved from https://www.thesesjournal.com/index.php/1/article/view/1119