Constructing fuzzy composite indicators to support water policy entrepreneurship Perez Zabaleta, Amelia Fernández Martínez, Pascual Prados Castillo, Juan Francisco De Castro Pardo, Mónica Composite indicators play a very useful role in supporting international policy entrepreneurship, helping to inform decision-making processes and to address conflicts between countries. In this paper we present a Fuzzy Data Envelopment Analysis (Fuzzy-DEA) model to construct composite indicators based on time series under the Pressure-State-Response (PSR) approach in order to evaluate water security in 10 European water security hotspots. First, we identified nine indicators within the PSR framework. Second, we aggregated the indicators in each PSR set using a Fuzzy-DEA model. Finally, we compared the PSR results under pessimistic, optimistic and neutral scenarios. Results show that, overall, Bulgaria achieved the best pressure, state and response performance. In terms of responses, Spain registered the best performance after Bulgaria, despite the fact that it suffers from the highest pressures of all the analyzed countries. Estonia achieved the best state performance in all three scenarios, but worse results in responses than Bulgaria and Spain. Cyprus and Belgium registered the highest variability for pressures, Spain for state and Portugal for responses. 2025-01-24T07:07:50Z 2025-01-24T07:07:50Z 2022 journal article Pérez Zabaleta, A., Fernández, P., Prados-Castillo, J. F., & de Castro-Pardo, M. (2022). Constructing fuzzy composite indicators to support water policy entrepreneurship. Sustainable Technology and Entrepreneurship, 1(3), 100022. https://doi.org/10.1016/j.stae.2022.100022 https://hdl.handle.net/10481/100174 https://doi.org/10.1016/j.stae.2022.100022 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Sustainable Technology and Entrepreneurship