Water Governance Prediction System Based on Fuzzy Logic

Abstract

In recent years, water governance has emerged as a critical concern, presenting challenges in predicting and assessing effective governance strategies. This paper introduces the water governance prediction system, based on a fuzzy logic controller (FLC), designed to dynamically evaluate the quality of water governance. Termed the water governance performance (WGP) model, it provides a holistic perspective that includes three key components: the water governance regime (WGR), water governance structure (WGS), and contextual factors. To validate the efficacy of the model, a case study was conducted in the Zayandeh-Rud basin in Iran, covering the period from 2006 to 2019. The model’s comprehensive approach and complexity equip water managers with valuable insights for decision-making. The study confirms the model’s efficiency in delivering accurate predictions based on effective data and indicators, highlighting its practical value in water governance assessments.