Fuzzy Inference System-based Geo Visualization Tool Development for Yamuna River Water Quality Analysis

An analysis of Yamuna River Water Quality through the use a Fuzzy Inference System illustrates capabilities artificial intelligence in development novel Geovisualizer. Numerous Geovisualizer systems exist worldwide, but none can estimate water quality with instead, relying on statistical data that vary scenario and have dubious accuracy. This logic has not been applied to classification Standards by any designated government agency for monitoring management. A robust integrated application program interface is developed combining MongoDB JavaScript library utilities Leaflet.js, Node.js, ArcGIS, ERDAS Imagine, Algorithm; embellished HTML CSS. The considered spatial-temporal aspect application. End users authenticate JSON web tokens. Spatial non-spatial are visualized Inverse Distance Weighted Interpolation technique ArcGIS. Index be calculated using combinations critically chosen input parameters frontend backend functionality incorporates fuzzy set theory from database platforms; available existing geovisualization platform. With its scalability, extensibility, execution speed, resultant 121RRwebgis outperforms conventional applications. Thus, platform global researchers developed.