In tropical and subtropical areas, mangrove forests are vital coastal ecosystems that offer vital ecological services like storm protection, coastline stabilisation, and carbon sequestration. Despite their importance, urbanisation and natural disasters like cyclones pose a growing threat to mangroves, especially in India. Using a Type 2 fuzzy logic approach, this study assesses the condition of the mangrove vegetation on Henry Island (21.577109°N, 88.274456°E) in 2021–2022. In order to model mangrove health, the Mamdani fuzzy inference method was used, combining textural metrics like contrast, dissimilarity, homogeneity, energy, and correlation. The mangroves’ health status during the study period was found to be moderate. MATLAB-generated visualisations improve the model's interpretability and validation by providing additional evidence of how changes in texture attributes impact the fuzzy health forecasts. The usefulness of Type 2 fuzzy systems in ecological monitoring is shown by this study, which provides a scalable and reliable framework for evaluating mangrove resilience and guiding conservation plans in dynamic environmental settings.