Optimal Redistribution of Water among Agricultural Sector Operators Using a Fuzzy Multi-objective Optimization Model

Limited water resources in many arid and semiarid regions of the world pose a serious threat to land reclamation and sustainable development. Therefore, it is necessary to review past policies and formulate new policies in this area. In Iran, with mostly arid and semiarid climatic conditions, water scarcity has become a great concern affecting not only the agricultural sector but also the industrial sector and even the drinking water supply in some parts of the country. In recent years, due to climate change, population growth and increasing water requirements, it is expected that the method of water distribution will change and the optimal redistribution of resources will be seriously considered (Mazandarani Zadeh and Hosseini, 2021; Misaghi et. al., 2020; Hosseiniasl et al., 2018).A review of past research shows that although many studies have been conducted on how to redistribute water optimally among retailers, each has sought to provide and optimize water resources by defining a specific objective function. Since most objective functions do not show the ability to describe mathematics accurately, it is better to use linguistic descriptions to model them.In this research, the objective function has been defined using fuzzy capabilities to describe peripheral phenomena. The irrigation network of Qazvin plain was equal to 255 million cubic meters per year in the past, but in recent years due to various reasons such as climate change and increased harvest for drinking water supply in Tehran, the allocated amount has decreased to about 120 million cubic meters per year. The network consists of 11 subnets, each of which acts as an operator. Due to the reduction of allocated water in the irrigation network of Qazvin plain and the lack of reform of the irrigation program to this plain, in this study, an attempt has been made to reallocate water to maximize utility, including increasing the total network revenue and observing justice using fuzzy inference system.