The study aimed to propose a fuzzy spatial discriminant analysis method that deals with spatial data that suffers from inaccuracy (fuzziness) for the purpose of distinguishing between different spatial categories with high accuracy.
The study reached a set of results, the most important of which is that the fuzzy method, in general, among the methods used in the thesis, gave more accurate and better results in classification than other methods.
The study recommended adopting the proposed spatial fuzzy core discriminant analysis method in classifying diseases by the Iraqi Ministry of Health in government and private hospitals, in addition to medical expertise, to reach an accurate and correct identification of diseases when the sample size is large (n≥200).
