1. You should build a fuzzy inference system (using the Fuzzy Logic Toolbox) that will give outputs for the likelihood that a flower, as specified by its features (e.g., petal length, petal width, sepal length, sepal width) will be a particular species. You should construct your fuzzy inference system to mimic the patterns you can see in the data (as we discussed in class on Wednesday, Feb. 15th). 2. You should run all of the Fisher iris data (using the built-in dataset) through your fuzzy inference system to determine the likelihood of each species, then CLASSIFY each flower based upon the species with the greatest likelihood. 3. You should generate a confusion matrix (using confusionchart) to compare the classification predicted by your system to the ground truth.