Information Sciences: an International Journal
Membership function as an evaluation
Fuzzy Sets and Systems
Neural network design
Fuzzy regression methods—a comparative assessment
Fuzzy Sets and Systems
Dynamic Programming for Optimal Water Resource Systems Analysis
Dynamic Programming for Optimal Water Resource Systems Analysis
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Multiobjective fuzzy regression with central tendency and possibilistic properties
Fuzzy Sets and Systems
Dynamic Programming
Constructing neural network sediment estimation models using a data-driven algorithm
Mathematics and Computers in Simulation
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Water quantity and quality are considered to be the main driving forces of the reservoir operation. Barra Bonita reservoir, located in the southeast region of Brazil, is chosen as the case study for the application of the proposed methodology. Herein, optimization and artificial intelligence (AI) techniques are applied in the simulation and operation of the reservoir. A fuzzy stochastic dynamic programming model (FSDP) is developed for calculating the optimal operation procedures. Optimization is applied to achieve multiple fuzzy objectives. Markov chain technique is applied to handle the stochastic characteristics of river flow. Water quality analysis is carried out using an artificial neural network model. Organic matter and nutrient loads are modeled as a function of river discharge through the application of a fuzzy regression model based on fuzzy performance functions. The obtained results show that the proposed methodology provides an effective and useful tool for reservoir operation.