تصنيف المضبب للغطاء النباتي لمنطقة جبل سنجار

Abstract

AbstractFuzzy Logic theory is one of the modern theories with many advantages that allow the occurrences of natural description and linguistic terms to be solved in a much subtle way than the relations between terms and their numeric values.This study aims to find the reasons for the variation in plantations in Sinjar area by finding an advanced way of classification, the fuzzy classification. At first, a “Fuzzy Recode” of the data was made. This gives the ability to conclude upon all chosen groups that were built in grouping tools. These classes explain the efficiency of type existence within the pixel, and start the accumulation of pixels while making sure that neighboring pixels are not altered. In addition, the work on this study was completed to determine the dimensions of the current image to illustrate the approach used in the fuzzy classification, which is fuzzy convolution. Fuzzy convolution specifies each pixel inside the screen window as close as to a certain type due to the existence of a solution to the mixed and intertwined pixels during classification, which make them difficult to categorize. Therefore, fuzzy convolution works on the accumulated pixels as granules that show which type of plantation they belong to.