Matlab Fuzzy Toolkit Example

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Presentation transcript:

Matlab Fuzzy Toolkit Example 10th October 2006 Dr Bogdan L. Vrusias b.vrusias@surrey.ac.uk

Contents Introduction Graphical User Interface (GUI) Tools Example: Dinner for two 10th October 2006 Bogdan L. Vrusias © 2006

Introduction MATLAB fuzzy logic toolbox facilitates the development of fuzzy-logic systems using: graphical user interface (GUI) tools command line functionality The tool can be used for building Fuzzy Expert Systems Adaptive Neuro-Fuzzy Inference Systems (ANFIS) 10th October 2006 Bogdan L. Vrusias © 2006

Graphical User Interface (GUI) Tools There are five primary GUI tools for building, editing, and observing fuzzy inference systems in the Fuzzy Logic Toolbox: Fuzzy Inference System (FIS) Editor Membership Function Editor Rule Editor Rule Viewer Surface Viewer 10th October 2006 Bogdan L. Vrusias © 2006

Graphical User Interface (GUI) Tools 10th October 2006 Bogdan L. Vrusias © 2006

Graphical User Interface (GUI) Tools Fuzzy Inference System (FIS) Editor Define number of input and output variables Adjust fuzzy inference functions Name and edit names of input, output variables 10th October 2006 Bogdan L. Vrusias © 2006

Graphical User Interface (GUI) Tools Membership Function Editor Select & edit attributes of membership function Display & edit values of current variable Name & edit parameters of membership function 10th October 2006 Bogdan L. Vrusias © 2006

Graphical User Interface (GUI) Tools Rule Editor Rules – automatically updated Create and edit rules 10th October 2006 Bogdan L. Vrusias © 2006

Graphical User Interface (GUI) Tools Rule Viewer Shows how input variable is used in rules Shows how output variable is used in rules; shows output of fuzzy system 10th October 2006 Bogdan L. Vrusias © 2006

Graphical User Interface (GUI) Tools Surface Viewer Shows output surface for any system output versus any one (or two) inputs Specify input and output variables 10th October 2006 Bogdan L. Vrusias © 2006

Example: Dinner for Two Golden rules for tipping: 1. IF the service is poor OR the food is rancid THEN tip is cheap (5%). 2. IF the service is good THEN tip is average (15%). 3. IF the service is excellent OR the food is delicious THEN tip is generous (25%). 10th October 2006 Bogdan L. Vrusias © 2006

Example: Dinner for Two 10th October 2006 Bogdan L. Vrusias © 2006

Example: Dinner for Two Fuzzy Inference System (FIS) Editor input variables output variable 10th October 2006 Bogdan L. Vrusias © 2006

Example: Dinner for Two Membership Function Editor Select type of membership function 10th October 2006 Bogdan L. Vrusias © 2006

Example: Dinner for Two Rule Editor 10th October 2006 Bogdan L. Vrusias © 2006

Example: Dinner for Two Defuzzified output Rule Viewer 10th October 2006 Bogdan L. Vrusias © 2006

Example: Dinner for Two Surface Viewer 10th October 2006 Bogdan L. Vrusias © 2006