Evaluating the Ability of Interval Fuzzy and Robust Data Envelopment Analysis Models to determine the efficiency of Broiler Chicken Breeding Units in Khuzestan Province

poultry is one of strategic and economic agricultural products in Iran due to its important role in gross domestic product, employment and export. Therefore, investigating the efficiency of broiler chicken breeding units and trying to improve their efficiency and optimum use of resources have special importance. In this paper, the interval fuzzy and robust data envelopment analysis models are used to concentrate on DEA with uncertain data for poultry farms in Khuzestan province. To this end, the achievement of sub-objectives such as estimating the optimal use of inputs in inefficient units and comparing the two methods of RDEA and FIDEA in terms of their capability against uncertain data is also considered.The results showed that the average technical efficiency of poultry farms in RDEA model at three probability levels of 10, 50 and 100% was 88%, 91% and 93%, respectively. In fact, the same amount of output can be achieved by improving production management and by reducing 12%, 9% and 7% of the total inputs respectively. In the FIDEA model, if poultry use 20% of their resources optimally, the average efficiency of traditional poultry varies from 88 to 96% and in semi-traditional poultry from 80 to 91%. Additionally the RDEA approach provides both a deterministic guarantee about the efficiency level of the model, as well as a probabilistic guarantee that is valid for all symmetric distributions. Since the Monte Carlo simulation model proved more capable of the RDEA model than the DEA and FIDEA models, it seems appropriate to use the results to improve the status of inefficient units.