Zoning of Drug Crimes and Evaluating and Modeling of Factors Affecting it Using Neural-Fuzzy System Technique (ANFIS)

This study aimed to evaluate the distribution zones of drug trafficking in Sistan and Baluchestan province due to its geographical situation and its location in the neighborhood of Afghanistan and Pakistan.

The research method was descriptive-analytical and based on documentary and library studies. Data and information were obtained based on available facts and opinion polls from relevant experts to provide a solution appropriate to the problem.

In this research, zoning of various drugs was examined and the results of modeling the rates of factors affecting drug trafficking using fuzzy nervous system showed that the constructed model was able to estimate the rates of factors affecting drug trafficking with good accuracy (RMSE = 0.060, R2 =0.98).

The results of the study show that among the indicators and factors affecting drug trafficking, social and cultural factors have the most impact, followed by economic factors and geographical situation and methods of combating drug trafficking.