Fuzzy Logic Toolbox
Product Description
- Introduction and Key Features
- Working with the Fuzzy Logic Toolbox
- Building a Fuzzy Inference System
- Modeling Using Fuzzy Logic
- Simulating and Deploying Fuzzy Inference Systems
Fuzzy inference is a method that interprets the values in the input vector and, based on user-defined rules, assigns values to the output vector. Using the GUI editors and viewers in the Fuzzy Logic Toolbox, you can build the rules set, define the membership functions, and analyze the behavior of a fuzzy inference system (FIS). The following editors and viewers are provided:
FIS Editor - Displays general information about a fuzzy inference system
Membership Function Editor - Lets you display and edit the membership functions associated with the input and output variables of the FIS
Rule Editor - Lets you view and edit fuzzy rules using one of three formats: full English-like syntax, concise symbolic notation, or an indexed notation
Rule Viewer - Lets you view detailed behavior of a FIS to help diagnose the behavior of specific rules or study the effect of changing input variables
Surface Viewer - Generates a 3-D surface from two input variables and the output of an FIS
The Membership Function Editor (top left), FIS Editor (center), Rule Editor (top right), Rule Viewer (bottom left), and Surface Viewer (bottom right).
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