## 1 Introduction
This process, in addition to being a key tool in decision making, highlights the ability of surveys to drive progress, offering essential perspectives that catalyze innovation and continuous improvement in diverse contexts [8; 9]. Among the improvements suggested from the results of this work, the possible implementation of turbines in the canal stands out. The implementation of turbines to take advantage of the axial flow of water in canals is revealed as an advanced and efficient engineering strategy in the generation of hydroelectric energy, without requiring large-scale works [10; 11]. The implementation of turbines for energy use is a sufficient condition. These turbines, meticulously designed to operate in consonance with the axial flow of water, demonstrate an exceptional capacity to adapt to the low-speed currents present in canals [12; 13]. Their integration into preexisting river environments significantly minimizes environmental impact while simplifying the implementation process. The intrinsic versatility of these turbines facilitates their modular installation, allowing easy adaptation to various channel configurations without the need to make substantial modifications to the surrounding infrastructure. This approach not only enhances the generation of sustainable energy but also results in a significant reduction of costs associated with the construction of hydroelectric facilities, consolidating them as an exceedingly attractive choice for efficiently maximizing the use of axial water flow in advanced engineering environments [14]. The application of fuzzy logic in this study on the revitalization of the Canal de Castilla allows us to address the complexity inherent in decision making in a context where the variables are neither precise nor clearly defined [15; 16; 17]. Fuzzy logic is revealed as a valuable tool to model and evaluate the feasibility of integrating axial turbines in the channel, considering parameters such as water depth and flow velocity. Fuzzy logic has been highlighted not only for its success in contexts similar to the Canal de Castilla but also for its relevance in a variety of environments, including marine, river, and urban. This is due to its ability to model and evaluate uncertainty and imprecision in a wide range of situations, making it a versatile and powerful tool for decision making in engineering and environmental management. In the context of the Canal de Castilla, fuzzy logic is used to address the complexity of turbine selection and evaluate its feasibility in a unique historical and natural environment. The novel contribution of this work lies in the synergistic integration of community perception and fuzzy logic analysis to address the sustainable revitalization of the Canal de Castilla. While previous studies have examined the restoration of historical canals or the implementation of sustainable technologies in aquatic environments, few have so comprehensively combined local perspectives with advanced technical analysis. The application of surveys to understand the aspirations and concerns of the community, coupled with the use of fuzzy logic to assess the technical feasibility of integrating axial turbines, represents a novel approach. This holistic approach not only considers technical viability but also incorporates the voices and needs of the community, providing a more robust and balanced foundation for decision making in heritage revitalization and sustainable development projects. In this study, the aim is to investigate the feasibility of implementing axial turbines in the Canal de Castilla after addressing key questions regarding their environmental, economic, and social impact. The initial objective of this research is to identify the issues associated with the abandonment of the Canal de Castilla [18] through the collection of perspectives and opinions of local inhabitants. With a proactive approach, this analysis seeks not only to highlight the present challenges but also to formulate solutions and proposals that optimize the use of this resource.