Combination of Fuzzy Logic and Kriging Technique Under Uncertainty for Spatial Data Prediction

Abstract

. This paper deals with the spatial prediction in Geostatistics. This paper depend on interpellation methods of spatial statistic (ordinary kriging technique) to combination with fuzzy logic under uncertainty for spatial data prediction. This work includes the best linear unbiased estimator prediction by using formals of linear prediction and variance kriging to find prediction by Appling on real spatial data. The data adopted from real spatial data represented the depth of real underground water wells with real location from Mosul city/Iraq. We took (100) real data with locations in study area. We applied empiricism variogram function to get the properties of variogram function. We combination between kriging technique with fuzzy logic (Mamdani Fuzzy Model). To get the best Mathematical model under uncertainty. We getting the results between kriging and fuzzy logic using Matlab language.This study is a continuation of the research conducted in this context Which is very important to highlight.