C++ Neural Networks and Fuzzy Logic: Preface

Code for the Fuzzifier

Let’s develop C++ code to create a simple fuzzifier. A class called category is defined in Listing 3.1. This

class encapsulates the data that we need to define, the categories in Figure 3.2. There are three private data

members called lowval, midval, and highval. These represent the values on the graph that define the category

triangle. In the tight category, the lowval is 5.0, the midval is 8.5, and the highval is 12.0. The category class

allows you to instantiate a category object and assign parameters to it to define it. Also, there is a string called