From fuzzy-mail@vexpert.dbai.tuwien.ac.at Tue Feb 1 22:01:42 EST 1994 Article: 1772 of comp.ai.fuzzy Xref: glinda.oz.cs.cmu.edu comp.ai.fuzzy:1772 Path: honeydew.srv.cs.cmu.edu!fs7.ece.cmu.edu!europa.eng.gtefsd.com!uunet!news.univie.ac.at!email.tuwien.ac.at!fuzzy-mail@vexpert.dbai.tuwien.ac.at From: M.F.Abbod@sheffield.ac.uk Newsgroups: comp.ai.fuzzy Subject: Fuzzy Inference Systems toolbox for MATLAB Date: 31 Jan 1994 20:45:15 GMT Organization: Technical University of Vienna, Information Systems Department Lines: 77 Sender: fuzzy-mail@vexpert.dbai.tuwien.ac.at Distribution: world Message-ID: Reply-To: fuzzy-mail@vexpert.dbai.tuwien.ac.at NNTP-Posting-Host: vexpert.dbai.tuwien.ac.at Originator: fuzzy-mail@vexpert.dbai.tuwien.ac.at Originator: server@vexpert This is the original message for fuzzy tool box for matlab. M.Abbod, --------------------- Hi netter, I announced that Fuzzy Inference Systems toolbox for MATLAB is available last week. I have been surprised by vast response from different group of users. At first I tried to post the files individually based on the request. It seems a very tough job for me now and I decided to keep the files in an anonymous ftp site. Since the programs have been tested on MATLAB version 4.1, Sun workstation, some of users who are interested to work with PC asked me to take into account this point. I have done some modification and now PC users are also able to use this toolbox. HOW TO GET FISMAT The "Fuzzy Inference Systems toolbox for MATLAB" is available via anonymous FTP from: SERVER: ftp.mathworks.com [144.212.100.10] FILE: /pub/contrib/misc/fuzzy_inference_systems.sh or (for PC), /pub/contrib/misc/pc_fuzzy_inference_systems.sh This is a shell archive (produced by shar 3.50). To extract the files from this archive type "sh file_name". Upon competition, a new directory "fismat" will be created on your working directory. SUMMARY Fuzzy inference systems toolbox for MATLAB ,FISMAT, accommodates different arithmetic operators, fuzzification and defuzzification algorithm, implication relations, and different method of approximate reasoning such as Compositional Rule of Inference (CRI) and Approximate Analogical Reasoning Scheme based on Similarity Measure. To have a quick review of FIS and become familiar with developed functions, a demonstration file "fisdemo.m" is provided. Therefore after retrieving the files it is recommended to go through different part of demo. The demonstration includes fuzzy controller demo which investigate three well-known examples in control systems. These are truck backer-upper control, inverted pendulum system (cart-pole), and temperature and humidity control of a bathroom. To become familiar with terminology used for FIS and also the list of references for each function, a postscript file "fismat.ps" also provided. NOTE: It is to be noted that FISMAT is a public domain program, therefore no one is allowed to sell or re-distribute the programs with his/her name. The permission for revision and re-distribution is given subject to keep the header (s) of functions. I am looking forward to hear your suggestion, comments or any possibly errors. ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ A. Lotfi Department of Electrical and Computer Engineering University of Queensland Tel: 61 7 3654138 Qld., Australia Fax: 61 7 3654999 Email: lotfia@s1.elec.uq.oz.au ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++