21. FAQ: Fuzzy Logic And Fuzzy Expert Systems 1/1 [Monthly Posting] comp.ai.fuzzy comp.answers news.answers Subject FAQ fuzzy logic and Fuzzy Expert Systems 1/1 Monthly posting http://www.cis.ohio-state.edu/hypertext/faq/usenet/fuzzy-logic/part1/faq.html

FAQ: Fuzzy Logic and Fuzzy Expert Systems 1/1 [Monthly posting] From: mkant+@cs.cmu.edu (Mark Kantrowitz) Newsgroups: comp.ai.fuzzy comp.answers news.answers FUZZY_1_868777228@CS.CMU.EDU ... http://www.cs.cmu.edu/Web/Groups/AI/html/faqs/ai/fuzzy/part1/faq.html Size: 85348 bytes, 2142 lines ;;; ***************************************************************** ;;; Answers to Questions about Fuzzy Logic and Fuzzy Expert Systems * ;;; ***************************************************************** ;;; Written by Mark Kantrowitz, Erik Horstkotte, and Cliff Joslyn ;;; fuzzy.faq Contributions and corrections should be sent to the mailing list mkant+fuzzy-faq@cs.cmu.edu . Note that the mkant+fuzzy-faq@cs.cmu.edu mailing list is for discussion of the content of the FAQ posting only by the FAQ maintainers. It is not the place to ask questions about fuzzy logic and fuzzy expert systems; use the newsgroup comp.ai.fuzzy erik@syssoft.com joslyn@kong.gsfc.nasa.gov mkant@cs.cmu.edu ... ftp.cs.cmu.edu:/user/ai/pubs/faqs/fuzzy/ [128.2.206.173] using username "anonymous" and password "name@host" (substitute your email address) or via AFS in the Andrew File System directory /afs/cs.cmu.edu/project/ai-repository/ai/pubs/faqs/fuzzy/ and get the file fuzzy.faq. You can also obtain a copy of the FAQ by sending a message to ai+query@cs.cmu.edu

22. HISTORY: FuzzyLogic GEOS Software Development (e/g) Developer tools, games, gadgets, some of them freeware. (old pages) http://members.aol.com/JupiterWeb/

FuzzyLogic Information on FuzzyLogic TM Jupiter TM -brand programs for the Nokia Communicator smart phone 9000 - 9110 series and other resource efficient devices. Select here for software for: NewDeal, Desktop, Geobook, Zoomer, Omnigo Nokia Communicator wireless smart phone 9000 - 9110 Last Update November 26, 1999

23. Fuzzy Logic Sources Maintained by Bob John, De Montfort University.Category Science Math fuzzy logic...... http://www.cms.dmu.ac.uk/~rij/fuzzy.html

24. EBay - The World's Online Marketplace IM Intelligent Modeling develops intelligent models for solving real world problems using advanced Soft Computing methods such as Artificial Neural Networks and fuzzy logic. http://www.intelligentmodeling.com/

What are you looking for? Smart Search Specialty Sites eBay Live! Event: June 26 - 28, 2003, Orlando, FL eBay Motors eBay Stores Half.com by eBay PayPal ... Sothebys.com Categories Antiques Art Books Cars ... Wholesale Global Sites Argentina Australia Austria Belgium ... eBay Downloads Last updated: My eBay Site Map Browse Sell ... eBay Inc. Designated trademarks and brands are the property of their respective owners. Use of this Web site constitutes acceptance of the eBay User Agreement and

25. Krishna, Murali Resume, portfolio and detailed descriptions of AI, Machine Learning, Knowledge Representation and fuzzy logic. http://guthulamurali.freeservers.com

Free Web site hosting - Freeservers.com Home Page Photo Page Linux ... Guest Book Page Murali Krishna.Guthula Welcome to The Amazing world of AI. The Distinguished Visitor No : In this site, you'll find background information about me and my education, details of my work experience,my research interests and updated information about me My Resume My Favourite subjects Knowledge Representation Artificial intelligence Computer Networks and Network Programming Machine Learning ... Power Plant Engineering Work Experience I worked as an Assistant Engineer in VTPS(Vijayawada Thermal Power Station), APGENCO for four years before I move on to do M.Tech. Academic Qualifications M.Tech.(Artificial intelligence) From University of Hyderabad,Hyderabad (The Only University offering M.Tech(Artificial Intelligence) in India) B.E.(Electrical Engineering) From Andhra University College Of Engineering,Vizag Mail Your Suggestions Search WWW Search google.com Thank You For Visiting My Page

26. Togai InfraLogic, Inc. The World's Source For fuzzy logic Solutions. HALFPRICE SPECIAL EXTENDED! thepremier fuzzy logic Development Tool,. TILShell 3 Professional Edition. http://www.ortech-engr.com/fuzzy/togai.html

The World's Source For Fuzzy Logic Solutions HALF-PRICE SPECIAL EXTENDED! Togai InfraLogic and Ortech Engineering are pleased to announce that the premier Fuzzy Logic Development Tool, TILShell 3 Professional Edition is available at 50% of the former Retail Price. For more information, please see our Updated Ordering Information or contact us at togai@ortech-engr.com Togai InfraLogic is an Irvine, California-based company founded by Dr. Masaki Togai in 1987 as the world's first company dedicated to the application of fuzzy logic. The company has been honored with a "1990 Product of the Year" award from Electronic Products magazine for the FC110 Digital Fuzzy Processor and a "1993 Product Recognition Award" from Control Engineering Magazine for the TILShell 3.0 fuzzy logic development tool. Welcome to our World Wide Web site. Please select from one of the following choices to learn more about fuzzy logic and our products. Thanks for stopping by. TIL Background Learn About Our Founder, Review Our Product History

27. Fuzzy Logic: What Is Fuzzy Logic? fuzzy logic emerged into the mainstream of information technology in the late1980's and early 1990's. Additional Introductory Material on fuzzy logic. http://www.emsl.pnl.gov:2080/proj/neuron/fuzzy/what.html

Many decision-making and problem-solving tasks are too complex to be understood quantitatively, however, people succeed by using knowledge that is imprecise rather than precise. Fuzzy set theory, originally introduced by Lotfi Zadeh in the 1960's, resembles human reasoning in its use of approximate information and uncertainty to generate decisions. It was specifically designed to mathematically represent uncertainty and vagueness and provide formalized tools for dealing with the imprecision intrinsic to many problems. By contrast, traditional computing demands precision down to each bit. Since knowledge can be expressed in a more natural by using fuzzy sets, many engineering and decision problems can be greatly simplified. Additional Introductory Material on Fuzzy Logic Links: represents a working link, represents a broken link, represents a verified dead link, and represents a closed link, as determined during the last link check on 1 June 1997 or by reported problems. represents a link added in the last 90 days (i.e., since 26 October 2000) Please help us keep this service useful by letting us know when you change your URLs. Sources: Introduction: NeuroFuzzy Computing Accel Infotech S Pte Ltd.)

28. Support Vector Machines, Neural Networks And Fuzzy Logic Models A textbook that provides a thorough, comprehensive and unified introduction to the field of learning from experimental data and soft computing. http://support-vector.ws

Support Vector Machines, Neural Networks and Fuzzy Logic Models LEARNING AND SOFT COMPUTING Table of contents Preface Chapter's survey Case Studies ... Forum Vojislav KECMAN The MIT Press, Cambridge, MA, 2001 ISBN 0-262-11255-8 608 pp., 268 illus., $US60.00/£41.50 (Hardcover) This is the first textbook that provides a thorough, comprehensive and unified introduction to the field of learning from experimental data and soft computing. Support vector machines (SVMs) and neural networks (NNs) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVMs, NNs, and FLS as parts of a connected whole. The theory and algorithms are illustrated by 47 practical examples, as well as by 155 problem sets and simulated experiments. This approach enables the reader to develop SVMs, NNs, and FLS in addition to understanding them. The book also presents three case studies on: NNs based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.

29. Fuzzy Logic At Pacific Northwest National Laboratory Summary of the fuzzy computation activity at Pacific Northwest National Laboratoryand connections to other institutions worldwide working on fuzzy logic. http://www.emsl.pnl.gov:2080/proj/neuron/fuzzy/

Pacific Northwest National Laboratory (PNNL) is a multiprogram national laboratory operated by Battelle Memorial Institute for the US Department of Energy (DOE) under Contract DE-AC06-76RLO 1830. Click Here for Page Compatible with Older Browsers Join Us At The SPIE APPLICATIONS AND SCIENCE OF COMPUTATIONAL INTELLIGENCE IV in ORLANDO, FLORIDA, USA 17-18 APRIL 2001 and for the Fundamentals of ANNS and Advanced NN Short Courses Applications of Fuzzy Logic at PNNL Projects at PNNL Techbriefs from PNNL PNNL Special Interest Group What's New? Activity in Fuzzy Logic World Wide Gateway to the World Professional Societies Conferences Journals ... Courses General Information About Fuzzy Logic What is Fuzzy Logic? On Line Demos Research Topics Commercial Applications ... Search Tools Web Site Ratings PC Webopaedia For More Information Contact: Paul E. Keller or Lars J. Kangas P.O. Box 999, K7-22 Richland Washington 99352, USA Tel: +1 (509) 375-2254 or +1 (509) 375-3905 Fax: +1 (509) 375-6703 Pacific Northwest National Laboratory (PNNL) is a multiprogram national laboratory operated by Battelle Memorial Institute for the US Department of Energy (DOE) under Contract DE-AC06-76RLO 1830.

30. Fuzzycrawler Advanced metasearch engine using fuzzy logic, natural language processing, and link verification. http://www.fuzzycrawler.com/

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31. FAQ: Fuzzy Logic And Fuzzy Expert Systems 1/1 [Monthly Posting] FAQ fuzzy logic and Fuzzy Expert Systems 1/1 Monthly posting. 2 What is fuzzylogic? 3 Where is fuzzy logic used? 4 What is a fuzzy expert system? http://isc.faqs.org/faqs/fuzzy-logic/part1/

FAQ: Fuzzy Logic and Fuzzy Expert Systems 1/1 [Monthly posting] From: mkant+@cs.cmu.edu (Mark Kantrowitz) Newsgroups: comp.ai.fuzzy comp.answers news.answers FUZZY_1_868777228@CS.CMU.EDU ... http://www.cs.cmu.edu/Web/Groups/AI/html/faqs/ai/fuzzy/part1/faq.html Size: 85348 bytes, 2142 lines ;;; ***************************************************************** ;;; Answers to Questions about Fuzzy Logic and Fuzzy Expert Systems * ;;; ***************************************************************** ;;; Written by Mark Kantrowitz, Erik Horstkotte, and Cliff Joslyn ;;; fuzzy.faq Contributions and corrections should be sent to the mailing list mkant+fuzzy-faq@cs.cmu.edu . Note that the mkant+fuzzy-faq@cs.cmu.edu mailing list is for discussion of the content of the FAQ posting only by the FAQ maintainers. It is not the place to ask questions about fuzzy logic and fuzzy expert systems; use the newsgroup comp.ai.fuzzy erik@syssoft.com joslyn@kong.gsfc.nasa.gov mkant@cs.cmu.edu ... ftp.cs.cmu.edu:/user/ai/pubs/faqs/fuzzy/ [128.2.206.173] using username "anonymous" and password "name@host" (substitute your email address) or via AFS in the Andrew File System directory /afs/cs.cmu.edu/project/ai-repository/ai/pubs/faqs/fuzzy/ and get the file fuzzy.faq. You can also obtain a copy of the FAQ by sending a message to ai+query@cs.cmu.edu

32. A Fuzzy Fairly Happy Face Notes from a talk by Patrick Grim on applying fuzzy logic to the Sorites Paradox. http://www.nyu.edu/gsas/dept/philo/faculty/sorensen/vagueness/fuzzy.htm

A Fuzzy Fairly Happy Face as presented for the Vagueness Group CUNY, May 1997 Patrick Grim Group for Logic and Formal Semantics Philosophy SUNY at Stony Brook I was asked to outline a fuzzy logic approach to the sorites. What's good about this approachwhat makes it a fairly happy face, in my view, is this. It starts with two simple claims about our language that I think just have to be right. On the basis of essentially those two claims alone it offers what I think is a very plausible account of both (1) what really is wrong with the argument and (2) why there doesn't seem to be anything wrong with the argument. What makes it only a fairly happy face are difficulties that arise at a second levelat the level of trying to elaborate the basic claims about our language within a more complete and more formal semantics. Here there are some serious problems. I have some suggestions to make at that level, on which I'll want to hear your views. But for starters I just want to insist on this as a second level of inquiry. I think there is an intuitive fuzzy approach to the sorites that has a great deal of plausibility. But there are some difficulties in trying to formalize a fuzzy semantics adequate to that approach.

33. Fuzzy Logic Index faqs.org, Search FAQs Show References. fuzzy logic fuzzy-logic/part1Subject http://isc.faqs.org/faqs/fuzzy-logic/

Search FAQs - Show References Search Subject/Archive Names Search Article Headers Fuzzy Logic fuzzy-logic/part1 Subject: FAQ: Fuzzy Logic and Fuzzy Expert Systems 1/1 [Monthly posting] Maintainer: mkant+fuzzy-faq@cs.cmu.edu FAQ Home Page: http://www.cs.cmu.edu/Web/Groups/AI/html/faqs/ai/fuzzy/part1/faq.html Last Posted: 13 Aug 1997 07:46:12 GMT Last-modified: Fri Mar 14 11:38:33 1997 by Mark Kantrowitz Version: By Archive-name By Author By Category By Newsgroup ... Help PLEASE NOTE: The official FAQ Home Page is available by selecting the link listed as the 'FAQ Home Page'. The maintainers of this archive are NOT the authors or maintainers of the individual FAQs. To correct or contribute to these documents, send email to the specific FAQ maintainers identified in each of the FAQs. Last Update March 17 2003 @ 04:11 PM

34. Lionheart Publishing, Inc. - Intelligent Systems Report Monthly newsletter featuring news and applications of such intelligent technologies as artificial intelligence, expert systems, neural networks, fuzzy logic systems, virtual reality, interactive multimedia and speech recognition. http://lionhrtpub.com/ISR/ISR-welcome.html

35. Fuzzy Logic fuzzy logic. Timothy J. Ross's semester course, fuzzy logic with EngineeringApplications, at UNM over the past five years. Prof. http://ace.unm.edu/fuzzy/fuzzy.html

Fuzzy Logic Welcome, you are visitor number since Monday, April 1, 1996. This software has been produced by students in Prof. Timothy J. Ross 's semester course, Fuzzy Logic with Engineering Applications , at UNM over the past five years. Prof. Ross is the author of a textbook, by the same title, used in his class. For more information on how to place and order for the book, please click here Click here to download a copy of academic fuzzy logic software. Click here to download a copy of fuzzy calculator. These two programs are compressed in "zip" format. Both programs are DOS applications. You will need utilities such as " pkunzip " or to decompress the archives. This software and related documentation are provided "AS IS" and without warranty of any kind. Under no circumstances shall the University of New Mexico , or any of its students or employees, be liable for any incidental, special or consequential damages that result from the use or inability to use the software or related documentation. This software is granted license-free and can be redistributed in any form. The original authors shall receive due credit .

36. Assistum Home Page A suite of knowledge management tools which rely on artificial intelligence and fuzzy logic to deepen the user's understanding of commercial and practical issues affecting an important decisions. http://www.assistum.com

COMPANY SOLUTIONS PRODUCTS SUPPORT ABOUT US BENEFITS SOFTWARE PURCHASE PRESS RELEASES CONSULTANCY TECHNOLOGY SUPPORT CLIENTS CASE STUDIES EXAMPLES USEFUL LINKS SOLUTION PROVIDERS KNOWLEDGE MANAGEMENT KNOWLEDGE TOOLS BUSINESS MANAGERS Higher Level Systems, creators of Assistum technology, specialises in improving high level business processes involving decision making and quality reviews. Decisions and reviews made with Assistum are consistent, transparent, informed and documented every step of the way. Assistum can help with: "We lose time and money by not using what we have already learned" Select a management topic ... Business Examples Business Management Risk Management Glocalisation Knowledge Management Case studies Clients Prices What's New SOLUTION PROVIDERS "Our clients need to make effective decisions quickly" Select a technology topic ... About us Clients How Assistum works Internet Viewer Knowledge Editor features Prices Product descriptions Technology platform VBA extensions Viewer features NEWS LATEST VERSION 5.1

37. Fuzzy Logic: Product Information Mathematica software for creating fuzzy sets and fuzzy logic based systems. BrianCogan, Scientific Computing World (November/December 2001). About fuzzy logic. http://www.wolfram.com/products/applications/fuzzylogic/

Overview Features Sample Images Contents Buy Online ... Fuzzy Logic The Most Flexible Environment for Exploring This Emerging New Field Note: Fuzzy Logic is compatible with Mathematica 2.2 only. Fuzzy Logic brings you an essential set of tools for creating, modifying, and visualizing fuzzy sets and fuzzy logic-based systems. Ideal for engineers, researchers, and educators, the practical examples provided introduce you to basic concepts of fuzzy logic and demonstrate how to effectively apply the tools in the package to a wide variety of fuzzy system design tasks. Experienced fuzzy logic designers will find it easy to use the package to research, model, test, and visualize highly complex systems. The package's built-in functions help you at every stage of the fuzzy logic design process as you define inputs and outputs, create fuzzy set membership functions, manipulate and combine fuzzy sets and relations, apply inferencing functions to system models, and incorporate defuzzification routines. Ready-to-use graphics routines make it easy to visualize defuzzification strategies, fuzzy sets, and fuzzy relations. "Wolfram Research's usual care and attention has resulted in an easy to use, comprehensive and robust set of utilities. The presentation of the commands in the context of solved problems, the excellent graphical output, and the ease of use of this package should make it of great interest to teachers and students of fuzzy logic."

38. Parallel Programming - Renaud's Page Paper about a parallel iterative solver and a description of a fuzzy logic controller. http://www.geocities.com/renaud_val/

PARALLEL PROGRAMMING Parallel Programming consists in speeding-up the execution of a program by dividing the program into multiple fragments that can execute simultaneously, each on its own processor. A program being executed across N processors might execute N times faster than it would using a single processor. The efficiency and effectiveness of the parallelism are largely dependent on the problems to be solved with selected algorithms and hardware architectures. Content Parallel Programming Application Paper on Iterative Solver ... Fuzzy Logic Controller How it works ? Some words about me Competencies, Education, Background ... Aztec : parallel iterative library for solving linear systems. JOSTLE : package designed to partition unstructed meshes. ParMETIS : unstructured graph partitioning and sparse matrix ordering system in parallel. PETSc : portable, extensible toolkit for scientific computation. ScaLAPACK : portable linear algebra library on parallel computers. Books MPI: The Complete Reference : this book is available in postscript and html forms over the Internet. PVM: Parallel Virtual Machine A User's Guide and Tutorial for Networked Parallel Computing : also available in postscript and html forms over the Internet.

39. Answering Mathematics Helper, Tests And Tutorial On Fuzzy Logic And Sets Exercise tool to practice addition, subtraction, multiplication, division, trigonometry and fuzzy logic problems. http://www.answermath.com/

Ever wonder how fast you are?.... well in this site you can actually test yourself in various exercises! such as adition, subtractions, multiplications, divisions, roots, exponentiations, sines, cosines, and tangents. You will also find tutorials on Neural Networks fuzzy logic and sets, and a fuzzy lab. TUTORIALS Fuzzy Logic Neural Networks LABORATORY Fuzzy Logic Lab Choose your challenge: Addition Subtraction Multiplication Division ... Fuzzy Lets see how brainy you are...(select a level)... Tutorials Fuzzy logic and sets Neural Networks Laboratory Fuzzy logic Lab Try to do it in your head...write your answer by clicking the pad... We'll tell how you did and see how fast you did it !!! Select an item bellow Addition Subtraction Multiplication Division ... Help

40. Zahidi's Web Site Author of a few books about Internet / Intranet programming and fuzzy logic in Farsi language. Also I am ready to arrange a software team in IRAN and doing any remote projects with the best price (Min. salary). http://www.geocities.com/reza_zahidi/

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