Application of Fuzzy Analytic Hierarchy Process Method to predict Some Properties Soil Data

Abstract

This research deals with the selection of the best analysis and the selection of the best compound for high-quality soil data based on multiple specific criteria of quantitative and qualitative nature and in order to address the uncertainty property. In this research, we used the fuzzy analytical hierarchy process (F-AHP). In order to make the right decision to know the level of importance of each soil compound and its properties. This method is based on an effective algorithm through comparisons between the properties of soil compounds and their weight. F-AHP was applied in this work to choose one criterion out of five criteria in decision-making using fuzzy numbers. Through the results, we found that soil compounds with small weights are sometimes more effective and flexible than others. Through this study, we note that the method helps in reducing bias in decision-making and the method is converted into numerical values ​​that are processed and compared for evaluation in the hierarchy associated with fuzzy logic with the uncertainty property. The direct impact on the accuracy of the data and all the results we obtained through the evaluation appears as the method of the analytical hierarchy process was combined in this research with the theory of fuzzy logic to become the method as the fuzzy analytical hierarchy process. All the calculations applied were done in Matlab.