Build fuzzy inference systems using Matlab

Learning Objectives
On successful completion on this part you should be able to
? Build fuzzy inference systems using Matlab
? Simulate fuzzy inference systems
? Draw surface view between the input and output.
Concepts
? Fuzzy set
? Membership function
? Rule base
? Input interpretation and output aggregation
Building Fuzzy Inference Systems
The building of a fuzzy inference system using Fuzzy Logic toolbox is the first step
towards the design of a fuzzy controller. The system you are going to build is the
fuzzy tipping system described in the online User’s Guide of the toolbox. The guide
will lead you through the building of the tipping system step by step.

1. Find and click Fuzzy Logic Toolbox in the content of the Help Browser. Go to the
   section of Building Systems with the Fuzzy Logic Toolbox in the Tutorial chapter
   and follow the instructions there step by step to create your own tipping FIS using
   the GUI environment.
2. Load the tipping example system of the toolbox by typing
   fuzzy tipper
   in the Matlab command window. Compare it with the tipping system that you
   developed in the previous step in terms of membership functions, rules and
   surface views.
3. Apply different inputs to the input of your tipping system to see if the output is
   what you expected or not. Make modifications such that it suits you. Present your
   tipping system in your report.
4. Comment on the differences in output surface caused by using alternative fuzzy
   inference systems, for example, various membership functions, implication
   operations and aggregation methods and so on.

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