New DEA/location models with interval data

Recently the concept of facility efficiency which defined by data envelopment analysis (DEA) introduced as a location modeling objective, that provide facilities location’s effect on their performance in serving demands. By combining the DEA models with the location problem two types of efficiencies are optimized: spatial efficiency as measured by finding the least cost location and allocation patterns for facilities, and the facility efficiencies in serving demandswhich measured by DEA efficiency score. In this paper we combine location-allocation models with DEA in interval inputs and outputs environments. A new pair of interval DEA/location models are constructed and run