Identifying Employment-Creating Sections in Urban Regions Utilizing Fuzzy Logic (The case of Sistan and Balouchestan province)

High unemployment rate is one of the problems Iran’s economy has in urban regions. Investment in the sections which have the highest potentiality for creating employment can take the main role in solving unemployment problem. Therefore, the current research aims at investigating employment-creating of economic sections of Sistan and Balouchestan in urban regions. To this aim, via regional input-output table, factor analysis, and Fuzzy logic, key sections of the economy of province were identified in urban regions upon employment rate and the previous bonds, total and direct pull of employment, and potential power of employment were made use of. The results indicated that in the urban regions of the province, the building-construction sections and wholesale and retail sections provide the highest rate of employment. Also, the weak intersectional bonds have made Sistan and Balouchestan Province import the workforce from other provinces and countries.