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Fuzzy Logic: more books (100)

Fuzzy Logic for Beginners by Masao Mukaidono, 2001-02-28

Fuzzy Logic in Geology

Fuzzy Logic by Paul Freilberger, Daniel Mcneill, 1993-02-25

Fuzzy Sets and Fuzzy Logic: Theory and Applications by George J. Klir, Bo Yuan, 1995-05-21

Quantifying Environmental Impact Assessments Using Fuzzy Logic (Springer Series on Environmental Management) by Richard B. Shepard, 2010-11-02

Fuzzy Equational Logic (Studies in Fuzziness and Soft Computing) by Radim Belohlávek, Vilem Vychodil, 2010-11-30

Intelligent Control: Fuzzy Logic Applications (Mechatronics)

Fuzzy Logic by Kyle Hemmings, 2010

An Introduction to Fuzzy Logic and Fuzzy Sets (Advances in Intelligent and Soft Computing) by James J. Buckley, Esfandiar Eslami, 2002-03-05

Fuzzy Logic for Business and Industry (Dos Windows) by Earl Cox, 1995-10

Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence by Jyh-Shing Roger Jang, Chuen-Tsai Sun, et all 1997-09-26

Weird Water & Fuzzy Logic: More Notes of a Fringe Watcher by Martin Gardner, 1996-10

Fuzzy Logic and the Semantic Web (Capturing Intelligence)

Methodologies of Using Neural Network and Fuzzy Logic Technologies for Motor Incipient Fault Detection by Mo-Yuen Chow, 1998-01

lists with details

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

Extractions: 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
HISTORY: FuzzyLogic GEOS Software Development
(e/g) Developer tools, games, gadgets, some of them freeware. (old pages)
http://members.aol.com/JupiterWeb/
Fuzzy Logic Sources
Maintained by Bob John, De Montfort University.Category Science Math fuzzy logic
http://www.cms.dmu.ac.uk/~rij/fuzzy.html
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/
Krishna, Murali
Resume, portfolio and detailed descriptions of AI, Machine Learning, Knowledge Representation and fuzzy logic.
http://guthulamurali.freeservers.com
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

Extractions: 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.
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

Extractions: 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. Introduction: NeuroFuzzy Computing Accel Infotech S Pte Ltd.)
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

Extractions: $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.
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/

Extractions: 17-18 APRIL 2001 and for the Fundamentals of ANNS and Advanced NN Short Courses Projects at PNNL Techbriefs from PNNL PNNL Special Interest Group What's New? Gateway to the World Professional Societies Conferences Journals ... Courses What is Fuzzy Logic? On Line Demos Research Topics Commercial Applications ... Search Tools PC Webopaedia Paul E. Keller or Lars J. Kangas
Fuzzycrawler
Advanced metasearch engine using fuzzy logic, natural language processing, and link verification.
http://www.fuzzycrawler.com/
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/

Extractions: 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
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

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

Extractions: 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.
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
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

Extractions: 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 .
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

Extractions: 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
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/

Extractions: Overview Features Sample Images Contents Buy Online ... Fuzzy Logic 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."
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/

Extractions: 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 ...
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/

Extractions: 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
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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