<p>Urban sprawl contributes significantly to the formation of Urban Heat Islands (UHI), which exacerbates environmental and socio-economic problems. Identifying the zones where UHIs occur is crucial for developing targeted mitigation strategies. This study aims to delineate Urban Heat Island Formation Zones (UHIFZs) using fuzzy logic and analyze the changes in land use and land cover (LULC) and their accuracy over three decades (1990–2020). In addition, an attempt is made to estimate changes in land surface temperature (LST) and assess their impact on the UHIs. A fuzzy logic approach was used to delineate the UHIFZs, taking into account several factors such as elevation, building density and proximity to roads. The Random Forest (RF) algorithm was used to classify LULC changes and the accuracy was evaluated by systematic comparison. LST estimation was performed to observe temporal changes and their correlation with the UHIFZ. The LULC analysis revealed a significant increase in built-up areas (387.91%) and a decrease in water bodies (64.24%) from 1990 to 2020. Dense vegetation increased by 20.42%, while croplands fluctuated with a net decrease of 38.50%. LST showed an increasing trend, with temperatures in the central and northeastern regions rising to 62.7&#xa0;°C in 2020, indicating significant urban heat buildup. The fuzzy logic-based UHIFZ mapping identified very influential zones with an area of 48.64&#xa0;km², predominantly in central urban areas, while the SUHI-based mapping showed a more diffuse distribution. This study integrates fuzzy logic with traditional SUHI mapping to obtain a more targeted and accurate representation of UHI zones. The results show the importance of strategic urban planning and the expansion of green spaces to mitigate UHI effects. This dual approach provides a comprehensive understanding of UHI dynamics, which is essential for effective environmental management and policy decisions.</p>