Optimizing the operation of series and parallel reservoirs using the neutrosophic environment: A case study of the Karun watershed

ABSTRACT In this paper, neutrosophic inference is used for the first time as a new Fuzzy Set Theory generalization to improve the operation of series and parallel dam reservoirs. A case study was conducted on the problem of parallel and series use of multiple and multi-purpose reservoirs in the dams of the Karun watershed (Iran). The problem of optimizing the operations of dam reservoirs with the objective function of minimizing the shortages and maximizing the production of hydropower is modeled and solved using training data. The optimization results are applied to model the problem in ANFIS, the behavior of the system in the Neutrosophic environment is infered by ANFIS. Finally, the conventional operation method, and the ANFIS method was compared with Neutrosophic inference by Fuzzy performance criteria. The results showed that the proposed neutrosophic inference model can highly infer dam reservoir system behavior. This method has achieved higher fuzzy reliability, higher fuzzy resilience, and lower fuzzy vulnerability indices, resulting in higher fuzzy sustainability. It has improved the objective functions by 80 and 40 percent in the training data and by 67 and 36 percent in the test data, respectively, compared to the Operation Rule Curve and ANFIS.