61. Acrenet Ltd Finnish applied mathematics consultancy services company fuzzy logic, neural networks, numerical analysis, signal processing and matrix algebra. http://www.formaths.com/

Core Disciplines: Applied Mathematics and Statistics Neural Networks and Fuzzy Logic Information Systems Development Market and Media Research applied mathematics communications research privacy ... about us

62. What Is Fuzzy Logic ? fuzzy logic is a powerful problemsolving methodology with a myriad of In a sense, fuzzy logic resembles human decision making with its ability to work http://www.aptronix.com/fide/whatfuzzy.htm

What Is Fuzzy Logic ? Fuzzy logic is a powerful problem-solving methodology with a myriad of applications in embedded control and information processing. Fuzzy provides a remarkably simple way to draw definite conclusions from vague, ambiguous or imprecise information. In a sense, fuzzy logic resembles human decision making with its ability to work from approximate data and find precise solutions. Unlike classical logic which requires a deep understanding of a system, exact equations, and precise numeric values, Fuzzy logic incorporates an alternative way of thinking, which allows modeling complex systems using a higher level of abstraction originating from our knowledge and experience. Fuzzy Logic allows expressing this knowledge with subjective concepts such as very hot, bright red, and a long time which are mapped into exact numeric ranges. Fuzzy Logic has been gaining increasing acceptance during the past few years. There are over two thousand commercially available products using Fuzzy Logic, ranging from washing machines to high speed trains. Nearly every application can potentially realize some of the benefits of Fuzzy Logic, such as performance, simplicity, lower cost, and productivity. Fuzzy Logic has been found to be very suitable for embedded control applications. Several manufacturers in the automotive industry are using fuzzy technology to improve quality and reduce development time. In aerospace, fuzzy enables very complex real time problems to be tackled using a simple approach. In consumer electronics, fuzzy improves time to market and helps reduce costs. In manufacturing, fuzzy is proven to be invaluable in increasing equipment efficiency and diagnosing malfunctions.

63. Wilf2005 > Home ( DNN 3.0.13 ) International Workshop on fuzzy logic and Applications. University of Milan, Crema, Italy; 1517 September 2005. http://dsa.uniparthenope.it/wilf2005/

Home Saturday, September 17, 2005 Home *** VERY IMPORTANT ADVICE *** The List of Accepted Papers is available. ** The Registration is open Links Aims Commitees Final Paper Due Technical Program ... Contacts Important Dates Submission deadline: 13 June 2005 (extended deadline) Notification of acceptance: 30 July 2005 Camera ready papers due: 1st September 2005 Workshop: 15-17 September 2005 International Workshop on Fuzzy Logic and Applications University of Milan, Crema, September 15-17, 2005 Gruppo Italiano di Ricercatori in Pattern Recognition IEEE Neural Networks Society - Italian RIG ... Reti Neuroniche

64. Fuzzy Math Sets, Quick Tutorial On Fuzzy Logic And Sets. Top/Computers/Artificial_Intelligence/Fuzzy http://www.answermath.com/fuzzymath.htm

MENTAL MATH TUTORIALS Data Mining Neural Networks Fuzzy Logic MENU Home Addition Subtraction Multiplication ... ñol TUTORIALS Data Mining Neural Networks Fuzzy Logic and Sets LABS Fuzzy Logic New Artificial Life Fuzzy Logic: A type of logic for processing imprecise data founded by L. A. Zadeh. Elements may have infinite gradation between TRUE and FALSE. Fuzzy Sets: A type of sets in which elements belong to subsets in some degree. (Certain speed may be 0.75 SLOW and 0.25 MEDIUM). Click for more fuzzy TEST A: Enter a new speed B: Speed = C: What is the fuzzy value of MEDIUM ? D: Answer with Keyboard »» KEYBOARD D: Press Enter and View report REPORT Yours: Ours: Result: Time: Home Site Map Suggest a link Send Comments ... Help

65. Fuzzy Logic Tools And Companies Assistum Strategic Knowledge Management using fuzzy logic Fuzzy Java code Fuzzy Java Toolkit from Rick Hillegas *NEW* AB Flex Tool*NEW* http://www.cse.dmu.ac.uk/~rij/tools.html

Fuzzy Logic Tools and Companies NEW*** Flint from LPA Jerry Mendels Type-2 Software Process Cybernetics Xiera Technologies Inc. ... Riga Corp - software for control

66. Stefano Pizzuti ENEA. Evolutionary algorithms, fuzzy logic based systems, evolutionary neural networks. Application to financial and energy industrial problems. http://home.tele2.it/stefanopizzuti/

ITALIANO ENGLISH ITALIANO ENGLISH

67. Artificial Intelligence And Statistical Analysis Software: TISEC's Super ICEPak Software based on different AI tools including neural networks, statistical pattern recognition and fuzzy logic for pattern recognition and classification. http://www.supericepak.com

68. PC AI - Fuzzy Logic See fuzzy logic and Neural Networks Practical Tools for Process Management (PC AI May/June 17) for a clear and concise explanation of fuzzy logic. http://www.pcai.com/web/ai_info/fuzzy_logic.html

Where Intelligent Technology Meets the Real World Home Contents Search News ... Contact PC AI Fuzzy Logic Overview : Fuzzy logic is a superset of conventional (Boolean) logic that has been extended to handle the uncertainty in data. It was introduced by Dr. Lotfi Zadeh of UC/Berkeley in the 1960's as a means to model the uncertainty of natural language. Fuzzy logic is useful to processes like manufacturing because of its ability to handle situations that the traditional true/false logic can't adequately deal with. It lets a process specialist describe, in everyday language, how to control actions or make decisions without having to describe the complex behavior. See "Fuzzy Logic and Neural Networks - Practical Tools for Process Management" (PC AI May/June 1994, p. 17) for a clear and concise explanation of Fuzzy Logic. Glossary Link Fuzzy Logic SUBMIT YOUR SITE To Expert Systems To General AI Sites Fuzzy Logic Information on the Internet Applications for Fuzzy Logic An interesting list of applications in which fuzzy logic has played a role.

69. Michael Cohen Web Site Comic book and art projects including Washouts, Strange Attractors, and The Forbidden Book; also, music of band fuzzy logic. http://home.ne.rr.com/michaelcohen/index.html

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70. EUSFLAT - European Society For Fuzzy Logic And Technology on Soft Computing in Industrial Applications (WSC10), September 19 October 7, 2005. Member of the International Fuzzy Systems Association (IFSA) http://www.eusflat.org/

Joint EUSFLAT/LFA Conference, Barcelona, Spain, September 7-9, 2005 5th International Conference on Intelligent Systems Design and Applications (ISDA 2005), Wroclaw, Poland, September 8-10, 2005 EUSFLAT General Assembly on September 7, 2005 10th Online World Conference on Soft Computing in Industrial Applications (WSC10), September 19 - October 7, 2005 Member of the International Fuzzy Systems Association (IFSA)

71. Fuzzy Logic - Computerworld fuzzy logic is an extension of classic Boolean logic designed to work with imprecise or vague data. Where classical reasoning requires yes and no values, http://www.computerworld.com/databasetopics/data/software/story/0,10801,95497,00

IDG Network: Computerworld IDG.net Careers CRM Data Mgmt Development E-business ERP/Supply Chain Hardware IT Management Networking Operating Sys ROI Security Storage Web Site Mgmt xSP See this year's Horizon Award honorees for cutting-edge technologies Free E-Newsletters Keep up on technology news and trends with our free e-mail newsletters! Select from daily and weekly updates including alerts and roundups by topic. Sign up today! Knowledge Centers Security Storage Hardware ... Software More Knowledge Centers: Select one... Business Intelligence CRM Careers Data Management Development E-business ERP Government Hardware IT Management Networking Operating Systems Outsourcing ROI Security Software Storage Web Site Management Partner Zones Blade-Ready Data Center Business Service Mgmt. Data Explosion Zone ... E-mail Newsletters News Feeds Home Browse Topics Data Management Databases Fuzzy Logic There's more to this story: Sidebar: The history of fuzzy logic Sidebar: Seven Truths of Fuzzy Logic Related to this topic Missing children's group leans on IT for Katrina victim search ... Oracle ships Windows edition of new database Other resources Free resource: Solutions for the Growing Business on the Move - Embrace mobility for a competitive edge!

72. Fuzzy Logic Provides substantial links related to fuzzy logic. http://www.geocities.com/siliconvalley/lakes/6007/Fuzzy.htm

FUZZY LOGIC INFORMATION NEWS GROUPS Short Definition Long Definition Executive Overview General Sources of Information ... Fuzzy CLIPS (free tool based on NASA CLIPS for crisp systems) fuzzyTech Home Page Related Links Electronic Newsletters Books With Disks ... Top of Page FUZZY LOGIC ELECTRONIC NEWSLETTERS Fuzzy Logic Newsletter To obtain samples of the Fuzzy Logic/Fuzzy Control Newsletter, send any e-mail message to fuz@ppgsoft.com . To subscribe to the Fuzzy Logic/Fuzzy Control Newsletter, send an e-mail with the Subject: "Subscribe FUZ" to subscribe@ppgsoft.com Technical University of Vienna Fuzzy Logic Mailing List ( listproc@dbai.tuwien.ac.at send get fuzzy-mail info NAFIPS Fuzzy Logic Mailing List ( listproc@listproc.gsu.edu send help For data mining list send an e-mail with an empty subject heading and: subscribe datamine-l in the body of the e-mail. Contact the Editor Adaptive Automation Home Page Technology Continuum Page Artificial Intelligence Book Store ... Top of Page

73. Dan Simon, Associate Professor Professor of Electrical Engineering at Cleveland State University. Site discusses courses offered and research in the areas of control theory, embedded systems, signal processing, neural networks, and fuzzy logic. http://academic.csuohio.edu/simond/

Dan Simon Associate Professor Cleveland State University Department of Electrical Engineering 2121 Euclid Avenue, SH 332 Cleveland, OH 44115-2214 Phone: 216.687.5407 Fax: 216.687.5405 I spent about 15 years in industry before coming to Cleveland State University in 1999. I received my PhD, MS, and BS degrees (all in Electrical Engineering) from Syracuse University, the University of Washington, and Arizona State University. My work experience includes contributions to the aerospace, automotive, agricultural, biomedical, process control, and software industries. I have lived in Seattle, Syracuse, Los Angeles, Phoenix, and Akron. My research interests include control theory, signal processing, neural networks, and fuzzy systems. For more detailed information, you can view my curriculum vita and publications pages. Courses and Other Resources The Embedded Control Systems Research Lab Visit the following web pages to read about and download files related to my research. The Optimal Interpolative Net Rule Base Reduction for Fuzzy Logic Systems Training Radial Basis Neural Networks with the Extended Kalman Filter Fuzzy Membership Function Optimization ... Splines for Data Smoothing and Interpolation I have a web page on my business site where I've written book reviews and tutorial overviews of various technologies. In the following web pages I express various views related to my profession and other matters.

74. EUSFLAT EUropean Society for fuzzy logic And Technology http://decsai.ugr.es/eusflat/eusflat.html

EUSFLAT homepage has been moved. Click this link http://viking.ibspan.waw.pl/eusflat

75. Article#2 On Fuzzy Logic And Its Uses Everything You ve Always Wanted to know About Designing fuzzy logic Machines But This article describes the procedures required in designing fuzzy logic http://www-dse.doc.ic.ac.uk/~nd/surprise_96/journal/vol2/sbaa/article2.html

Everything You've Always Wanted to know About Designing Fuzzy Logic Machines But Were Afraid to Ask [Abstract] [Fuzzy Rules] [Fuzzy Control] [Case Study: Fuzzy Traffic Light Controller] Abstract The Smart Air Conditioner : automatically adjusts the flow of air according to the surrounding temperature. The Smart TV : adjusts its contrast and colour modes for every new frame. The Smart Washing Machine : adds more detergent when there is more dirt. All with the push of a button. Great!!! We are witnessing a miracle in technology. Too good to be true. But enough!!! How do such miracles occur? How complicated is the math ? HOW DOES IT WORK!!!! This article describes the procedures required in designing fuzzy logic machines starting with the basics, fuzzy rules, moving on to the fuzzy controller and finally considering a case study where a real life useful application of fuzzy logic is applied. Fuzzy Rules Human beings make descisions based on rules. Even though, we may not be aware of it, all the descisions we make are based on computer like if-then statements. If the weather is fine, then we may decide to go out. If the forecast says the weather will be bad today, but fine tommorow, then we make a descision not to go today, and postpone it till tommorow. Rules associate ideas and relate one event to another. Fuzzy machines, which always tend to mimick the behaviour of man, work the same way. Only this time the descision and the means of choosing that descison are replaced by fuzzy sets and the rules are replaced by fuzzy rules. Fuzzy rules also operate using a series of if-then statements. For instance, X then A, if y then b, where A and B are all sets of X and Y. Fuzzy rules define fuzzy

76. Fuzzy Logic Introduction Additional benefits of fuzzy logic include its simplicity and its flexibility. fuzzy logic can handle problems with imprecise and incomplete data, http://www-dse.doc.ic.ac.uk/~nd/surprise_96/journal/vol2/jp6/article2.html

S URPRISE F UZZY L OGIC and I TS U SES A RTICLE 2 Fuzzy Logic Introduction Fuzzy logic starts with and builds on a set of user-supplied human language rules. The fuzzy systems convert these rules to their mathematical equivalents. This simplifies the job of the system designer and the computer, and results in much more accurate representations of the way systems behave in the real world. Additional benefits of fuzzy logic include its simplicity and its flexibility. Fuzzy logic can handle problems with imprecise and incomplete data, and it can model nonlinear functions of arbitrary complexity. "If you don't have a good plant model, or if the system is changing, then fuzzy will produce a better solution than conventional control techniques," says Bob Varley, a Senior Systems Engineer at Harris Corp., an aerospace company in Palm Bay, Florida. You can create a fuzzy system to match any set of input-output data. The Fuzzy Logic Toolbox makes this particularly easy by supplying adaptive techniques such as adaptive neuro-fuzzy inference systems (ANFIS) and fuzzy subtractive clustering. Fuzzy logic models, called fuzzy inference systems, consist of a number of conditional "if-then" rules. For the designer who understands the system, these rules are easy to write, and as many rules as necessary can be supplied to describe the system adequately (although typically only a moderate number of rules are needed).

77. Fuzzy Logic fuzzy logic is a branch of machine intelligence that helps computers paint fuzzy logic can model and control nuances overlooked by the binary logic of http://www.fortunecity.com/emachines/e11/86/fuzzylog.html

web hosting domain names photo sharing Fuzzy Logic The binary logic of modern computers often falls short when describing the vagueness of the real world. Fuzzy logic offers more graceful alternatives. by Bart Kosko and Satoru Isaka BART KOSKO and SATORU ISAKA are pioneers in the development of fuzzy logic systems. Kosko holds degrees in philosophy and economics from the University of Southern California, a masters in applied mathematics from the University of California, San Diego, and a Ph.D. in electrical engineering from the University of California, Irvine. He is an assistant professor of electrical engineering at U.S.C., a governor of the International Neural Network Society and the program co-chair of the 1993 World Congress on Neural Networks. Isaka specializes in fuzzy information processing in the research and development division at Omron Advanced Systems in Santa Clara, Calif. He is interested in applying machine learning and adaptive control systems to biomedical systems and factory automation. He received his M.S. and Ph.D. degrees in systems science from U.C.S.D., in 1986 and 1989, respectively. Computers do not reason as brains do . Computers "reason" when they manipulate precise facts that have been reduced to strings of zeros and ones and statements that are either true or false. The human brain can reason with vague assertions or claims that involve uncertainties or value judgments: The air is cool," or "That speed is fast" or "She is young." Unlike computers, humans have common sense that enables them to reason in a world where things are only partially true.

78. Fuzzy Logic List of resources on cellular automata, brought to you by your About.com Guide. http://psychology.about.com/od/fuzzylogic/

zJs=10 zJs=11 zJs=12 zJs=13 zc(5,'jsc',zJs,9999999,'') About Homework Help Psychology Cognitive Psychology ... More A.I. Related Topics Fuzzy Logic Homework Help Psychology Essentials Psychology Glossaries ... Help zau(256,140,140,'el','http://z.about.com/0/ip/417/C.htm','');w(xb+xb+' ');zau(256,140,140,'von','http://z.about.com/0/ip/496/7.htm','');w(xb+xb); FREE Newsletter Sign Up Now for the Psychology newsletter! See Online Courses Search Psychology Fuzzy Logic - A.I. List of resources on fuzzy logic, including lots of introductory materials. Alphabetical Recent Up a category Adaptive Fuzzy Control Fuzzy control of automatic path tracking of outdoor mobile robots. Books List of more than 100 fuzzy logic books. Course A brief on-line course in Fuzzy Logic and Fuzzy Control. EBRSC Electronic Bulletin published by the Rough Set Community Fit the Fuzzy Bit Free Java source code and documentation for demonstration of Fuzzy technology. more from your guide Fuzzy CLIPS An enhanced version of CLIPS, expert system shell developed by NASA, that supports Fuzzy Logic. Fuzzy Expert Systems Well written and easy to follow introduction to building fuzzy expert systems.

79. Inform UK - Vehicle Scheduling Truck Scheduling Optimisation Software INFORM supplies IT systems for intelligent decision support based on advanced optimization technologies including fuzzy logic. http://www.inform-ac.co.uk

INFORM supplies IT systems for intelligent decision support based on advanced optimization technologies including fuzzy logic. As add-on to existing databases or administrative IT solutions, they significantly boost productivity of all business operations requiring repetitive, situation responsive decision making under time pressure. Logistics Systems - Transport Optimization / Container Intermodal / SyncroSupply Airport Systems - Airport Resource Management scheduling Fuzzy Logic Systems - Risk Management / fuzzyTECH INFORM supplies IT systems for intelligent decision support based on advanced optimization technologies including fuzzy logic. As add-on to existing databases or administrative IT solutions, they significantly boost productivity of all business operations requiring repetitive, situation responsive decision making under time pressure. Applications include logistics, manufacturing, transportation, warehousing, airport ground handling, and risk management. Worldwide customers include Air Canada, Audi, Bayer, BMW, Bosch, British Airways, CTA Hamburg Container Port, DaimlerChrysler, Fraport, Henkel, KLM, Lufthansa, Siemens, Swiss Postal Services, The Timken Company, Thyssen, Volkswagen, and more than 500 other world class enterprises. In addition to providing the software, INFORM takes responsibility for the entire project management as well: Business process consulting, software requirement specifications, customizing, supply of IT or communications components, interfacing with existing IT systems, training, implementation assistance, multi level go-live assistance, long-term maintenance and support ... our engineers and consultants will go the extra mile to provide turn-key systems.

80. Fuzzy Logic In Environmental Sciences: A Bibliography We are preparing a chapter on fuzzy logic for a handbook in AI. The handbook is being assembled We do not regard fuzzy logic as a technique by itself. http://www.chebucto.ns.ca/Science/AIMET/fuzzy_environment/

Fuzzy Logic in Environmental Sciences: A Bibliography Here is a large collection of references to environmental research and meteorologial applications that use fuzzy logic . Researchers are listed alphabetically: A B C D ... Z Domains of interest include: Agriculture , climatology, earthquakes ecology environmental sciences fisheries , geography, geology hydrology meteorology mining , natural resources, oceanography petroleum pollution , risk analysis, and rivers+lakes If you know of work that fits in these categories, please write to us and we will add them. If you would like to be included in the list below, send us a note about yourself and your topics. We are preparing a chapter on fuzzy logic for a handbook in AI. The handbook is being assembled by AIRIES (Artificial Intelligence Research in Environmental Sciences). The book is intended to introduce environmental scientists to practical, state-of-the-art AI techniques. Many references were kindly given to us when we posted questions on newsgroups for the above-listed domains and on the met.ai newsgroup

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