CMU Artificial Intelligence Repository
FuzzDemo: MATLAB demo of parameterizing membership
functions and learning in fuzzy inference
This directory contains MATLAB *.m files (V4.0) for demonstrating
several ways of parameterizing membership functions (MF) and
learning in fuzzy inference systems (FIS). Specifically, it includes
(a) manual tuning of MF's
(b) animation of MF's to show the effects of different parameters
(c) animation of MF's and the overall input/output behavior of FIS.
(d) learning (parameter identification) in FIS using
1. Simplex method
2. Simplex method + least-squares method
This is a prototype suitable for educational purposes.
as the file fuzzdemo.sh
(This is the MATLAB user-contributed code archive. For
more information about the MATLAB user archive, send
mail to firstname.lastname@example.org.)
Requires: MATLAB v4.0
Copying: Copyright (c) 1993 Jyh-Shing Roger Jang, U. C. Berkeley
Use, copying, modification, and distribution permitted.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Jyh-Shing [Roger] Jang
571 Evans, Dept. of EECS
University of California
Berkeley, CA 94720
Authors!Jang, Demo Version, FuzzDemo,
Fuzzy Inference Systems, Fuzzy Logic, MATLAB,
 "ANFIS: Adaptive-Network-based Fuzzy Inference Systems", IEEE
Trans. on Systems, Man and Cybernetics, May 1993.
 "Functional Equivalence between Radial Basis Function Networks and
Fuzzy Inference Systems", Trans. on NN, Jan. 1993.
 "Self-Learning Fuzzy Controllers based on Temporal
Back-Propagation", Trans. on NN, Sept 1992.
Last Web update on Mon Feb 13 10:22:17 1995