61. Article #1 Of Fuzzy Logic And Its Uses Why? Because of a very simple little thing in which the Japanese have adaptedfor decades; the Americans sweating to catch up; fuzzy logic. http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol1/sbaa/article1.html

You fuzzyin' with me ? "So far as the laws of mathematics refer to reality, they are not certain. And so far as they are certain, they do not refer to reality." -Albert Einstein, Geometry and Experience [Abstract] [Fuzzy what [Boolean vs. Fuzzy] ... [Fuzzy Operations] Abstract In the movie 2001:A Space Odyssey , Stanley Kubrick predicted how fast the computer technology would grow, by introducing the mainframe HAL, a "smart" computer with the ability to think and learn. Though, it is highly unlikely, that 5 years from now, man would have created HAL, one thing is for sure, it will eventually come from Japan. Why? Because of a very simple little thing in which the Japanese have adapted for decades; the Americans sweating to catch up;- fuzzy logic. This article introduces fuzzy logic, from a mathematics perspective, tracing its origins, stating its characteristics and finally illustrating with examples, its set theories and logic operations. Fuzzy what Fuzzy logic is a superset of conventional(Boolean) logic that has been extended to handle the concept of partial truth- truth values between "completely true" and "completely false". As its name suggests, it is the logic underlying modes of reasoning which are approximate rather than exact. The importance of fuzzy logic derives from the fact that most modes of human reasoning and especially common sense reasoning are approximate in nature. Boolean vs. Fuzzy

62. Home Page Of G. Gerla University of Salerno, Italy fuzzy logic, percentage logic, pointless geometry. http://www.dmi.unisa.it/people/gerla/www/

Prof. Giangiacomo Gerla Professore di Teoria della Computabilità Department of Mathematics and Information Sciences, Università degli Studi di Salerno Via S.Allende 84081 Baronissi (Salerno) ITALY. gerla@libero.it Scientific interests Didattica Download Area ... Soft Computing Laboratory

63. Fuzzy Logic And Its Uses Introduction, Background, Fuzzy Sets Fuzzy Operations. Fuzzy Rules FuzzyControl, Case Study A Smart Traffic Light Controller, Adaptive Fuzzy Systems. http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/sbaa/report.html

by Shahariz Abdul Aziz and Jeyakody Parthiban Introduction Background Case Study: A Smart Traffic Light Controller ... References

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

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 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 «« View report REPORT Yours: Ours: Result: Time: Visit our Tutorials on Fuzzy Logic and Sets Neural Netwoks Addition Subtraction ... Help

65. Fuzzy Logic: Search The Web fuzzy logic search categories automatically extracted from the real Webpages. Allows Home fuzzy logic related Web categories Fuzzy http://www.geocities.com/globelinkweb/fuzzy_logic.html

Search The Web: Try this link!! A First Course in Fuzzy Logic, ... A Course in Fuzzy Systems and Control An Introduction to Fuzzy Sets: Analysis and Design (Complex Adaptive Systems) ... Fuzzy Control Fuzzy Logic Page developed with automatic Fuzzy Logic Index: A B C ... Home related Web categories: ... Select Category ... Adaptive Fuzzy Logic Uncommon Adaptive Logic Uncommon Agricultural Applications Uncommon Appl. of Neural Network Uncommon Artificial Intelligence Common Artificial Neural Networks Relatively Common Automatic Spectrum Analyzer Rare Automotive Diagnostics Rare Autonomous Robot Navigation Relatively Common Autonomous Robotics Uncommon Basic Concepts Relatively Common Brief Course Uncommon CD-ROM Library Uncommon Cognitive Sciences Uncommon Cognitive Systems Relatively Common Complex Biological Systems Rare Computer Science Common Control Theory Relatively Common Course Materials Uncommon Crane Control Uncommon Data Fusion Relatively Common Data Mining Common Development of Intelligent Systems Uncommon Development Tools Relatively Common Deviant Logic Uncommon Digital Logic Uncommon Environmental Sciences Uncommon Evolutionary Learning Uncommon FAQs Relatively Common Feasibility Study Relatively Common Financial Applications Uncommon Fuzzy Application Library Rare Fuzzy Control Common Fuzzy Control Systems Relatively Common Fuzzy Data Analysis Uncommon Fuzzy Expert Systems Relatively Common Fuzzy Image Analysis Rare Fuzzy Logic Applications Relatively Common Fuzzy Logic Approach Relatively Common

66. Fuzzy Symbolic Connectionist Automatic construction of neural networks. Incremental learning. Support of fuzzy logic. Hybrid symbolic\connectionist representation. Win3 shareware. http://www.alberts.com/authorpages/00002375/prod_260.htm

Fuzzy Symbolic Connectionist for Win3 Product Description: Special Requirements: None Product Support: Contact: Publisher: e-Mail: upso@prodigy.com

67. Fuzzy Logic fuzzy logic INFORMATION, NEWS GROUPS. Short Definition Long Definition FUZZYLOGIC ELECTRONIC NEWSLETTERS. fuzzy logic Newsletter To 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

68. MultiSimplex Optimization Software Experimental design and multicriteria optimization software, based on fuzzy logic and the simplex method for sequential design of experiments. Windowsbased, download trial version. http://www.grabitech.com/Multisimplex.htm

About us Software Services References ... Software MultiSimplex Workstation -MultiSimplex Controller Wonderware Camo-Unscrambler Documents ... Database, search MultiSimplex® 2.1 A powerful tool for design of experiments and optimization. (Software rewiew) Download MultiSimplex is a Windows-based software for sequential design of experiments and optimization. MultiSimplex is used to improve: Quality of products. Efficiency of processes. Performance of analytical instruments. Customer statements "Our division manufactures systems for separation of gas mixtures based on hollow fiber membranes. We used the program for conducting an optimization of the fiber spinning process. After 10 trials the performance of the fiber improved by over 20%." (Research chemist Kevin Lundy, Permea, Division of Air Products and Chemicals Inc.) "Completness, flexibility, and ease of use make the MultiSimplex the best optimization software."

69. Chp: Fuzzy Logic Research And Life fuzzy logic RESEARCH AND LIFE. History and Goals. In 1989, MITI decidedto found About fuzzy logic. fuzzy logic, invented by Professor Lotfi http://www.wtec.org/loyola/kb/c5_s4.htm

FUZZY LOGIC RESEARCH AND LIFE History and Goals About Fuzzy Logic Fuzzy logic, invented by Professor Lotfi Zadeh of UC-Berkeley in the mid-1960s, provides a representation scheme and a calculus for dealing with vague or uncertain concepts. It provides for the facile manipulation of such terms as "large," "warm," and "fast," which can simultaneously be seen to belong partially to two or more different, contradictory sets of values. Zadeh originally devised the technique as a means for solving problems in the soft sciences, particularly those that involved interactions between humans, and/or between humans and machines. Within the United States, with some exceptions, the technique has remained mainly of basic research interest. Current and Future Activities Terano and his colleagues now view fuzzy control as but the first way station on the road to human-friendly systems. The evolution is fuzzy control, to fuzzy expert systems, to intelligent robots, to integrated AI systems. The 1992 LIFE research plan shows work in two main areas: communication and machine intelligence. Under communication, LIFE is conducting research in fuzzy computing (including natural language and linguistic modeling applications) and intelligent interfaces (to both humans and robots). Under machine intelligence, LIFE is pursuing work in fuzzy associative memory (software only), image understanding, and intelligent robots (the scope of which was left vague in our discussions). A total of about 30 full-time researchers are involved in all of these efforts.

70. Fuzzy Logic: Gateway To The World: Fuzzy Logic research groups and companies involved in fuzzy logic and related activities, distributed over the world. http://www.emsl.pnl.gov:2080/proj/neuron/fuzzy/gateway/index.html

Description: This section is your gateway to research groups and companies involved in Fuzzy Logic and related activities. Sites are listed by country and by alphabetical order of the home institution. Additions: We always welcome additions! To add a link or make a correction, please use the Add Web Site form or send e-mail to the address given at the bottom of this page. Explore Fuzzy Logic: By Country Other Argentina Australia Austria ... United States By Continent/Region Africa Asia Europe Middle East ... South America Alphabetical By Institution Name A B C D ... W , X , Y Z Master Index Explore By Other Related Topics: EMSL Web Site Cognitive Systems Summary of Cognitive Systems Entries for Computational Intelligence Summary of Computational Intelligence Entries for Neural Networks Entries for Fuzzy Logic Entries for Evolutionary Computation Entries for Classical Artificial Intelligence Summary of Classical Artificial Intelligence Entries for Knowledge-Based Systems Entries for Biological/Natural Intelligence Summary of Biological/Natural Intelligence Entries for Neuroscience Entries for Cognitive Science Entries for 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.

71. Fuzzy Logic software. Specialists in Knowledge Management, Genetic Algorithmsand fuzzy logic. White Paper fuzzy logic in Knowledge Builder. http://www.attar.com/pages/fuzzy.htm

White Paper: Fuzzy Logic in Knowledge Builder Rule based logic has been used to capture human expertise in classification, assessment, diagnostic and planning tasks. Probability has traditionally been used to capture decision making under uncertain conditions. For example, consider the rule: IF Symptom-A is present THEN diagnosis is illness-X There will be situations in which we are uncertain about the presence of Symptom-A. In such cases we can enter the probability of Symptom-A being present which will result in a confidence factor in our diagnosis of illness-X. A number of methods have been used to propagate probabilities during rule based inference. Many of these techniques are based on the probabilistic inference techniques used in Mycin and Prospector . The weakness of such techniques is that they do not reflect the way human experts reason under uncertainty. XpertRule Knowledege Builder allows an alternative methodology to the probabilistic reasoning approach. This involves defining Symptom-A and illness-X as logical attribute with values

72. Professor Dan Simon 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 Assistant Professor Department of Electrical Engineering Cleveland State University 1960 East 24th Street Cleveland, OH 44115 Phone: 216.687.5407 Fax: 216.687.5405 I spent about 15 years in industry before coming to Cleveland State University as an Assistant Professor 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 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.

73. Combination Fuzzy Logic-Genetic Algorithms Bibliography Last updated January 28, 1997. Combination fuzzy logicGenetic Algorithms Bibliography. 13.fuzzy logic Controllers (Design, Learning, Tuning, Applications). 287. http://decsai.ugr.es/~herrera/fl-ga.html

DECSAI, University of Granada Last updated: January 28, 1997 Combination Fuzzy Logic-Genetic Algorithms Bibliography F. Herrera M. Lozano A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography. Technical Report DECSAI-95129, Dept. of Computer Science and A.I., University of Granada, November 1995 (Last version December 1996, 544 references). (35 pages) (Full paper) ABSTRACT We present a classified review of the bibliography on the combination genetic algorithms-fuzzy logic. The classification is made in order to join the papers that make reference to a specific fuzzy logic area. CLASSIFIED REVIEW INFORMATION Recentely, numerous papers and applications combining fuzzy logic (FL) and genetic algorithms (GAs) have become known, and there is an increasing interest in the integration of these two topics. The present bibliography collects a big set of references in this growing area, althought unfortunatelly they are not all the possible. The references marked by don't belong to our paper collection, obtaining them from the references of other publications or by authors. Some of the references are incomplete because either we have earlier versions before to be published or we have got them incomplete. Comments, corrections, papers and references for mantaining the file are welcome.

74. Hitachi Micro Systems Asia Smart card desgin services, FLEX pager, fuzzy logic and technical support for Hitachi semiconductor devices http://www.hmsa.hitachi.com.hk/

Last Updated 28 August, 2001 Latest Hitachi FLEX TM Stack V4.3 Software available now!! [NEW] About HMSA Focus Applications LINKS Download Area FLEX is the trademark or registered trademark of Motorola, Inc. HOME ABOUT US FOCUS APPLICATIONS LINKS ... Contact us T el: (852) 2735-9218 Fax: (852) 2376-3865 2001, Hitachi Micro Systems Asia Pte. Ltd.

75. Life.anu.edu.au/complex_systems/fuzzy.html Similar pages fuzzy logic your online storefront resource for genuine fuzzy logic offers the highest quality Sheepskin Equestrian Productsthat are truly machine washable! Endorsed by breeders, trainers http://life.anu.edu.au/complex_systems/fuzzy.html

76. World Scientific World Scientific Home Bookshop Computer Science fuzzy logic . Computer Science.Artificial Intelligence. fuzzy logic. Machine Vision/ Pattern Recognition. http://www.wspc.com/books/compsci/fl.shtml

Home Browse by Subject Bestsellers New Titles ... Browse all Subjects Search Keyword Author Concept ISBN Series Computer Science New Titles February Bestsellers Nobel Lectures Textbooks ... Book Series Related Journals Computer Science Journals Related Links World Scientific Home Imperial College Press Innovation Magazine Join Our Mailing List ... Request for related catalogues Fuzzy Logic Advanced Signal Processing Technology by Soft Computing Advances in Intelligent Systems for Defence Analysis of Multi-Temporal Remote Sensing Images Proceedings of the First International Workshop on Multitemp 2001 Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis Between Mind and Computer: Fuzzy Science and Engineering Computational Intelligent Systems for Applied Research Proceedings of the 5th International FLINS Conference Computing and Information Technologies Exploring Emerging Technologies Proceedings of the International Conference Compensatory Genetic Fuzzy Neural Networks and Their Applications Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition Fuzzy and Uncertain Object-Oriented Databases Concepts and Models Fuzzy Decision Making in Modeling and Control Fuzzy Logic and Soft Computing Fuzzy Logic Control: Advances in Methodology Proceedings of the International Summer School Fuzzy Logic for Beginners Fuzzy Logic for Business, Finance, and Management

77. Fuzzy Logic fuzzy logic (a subtopic of Reasoning). Bauer et al. Good Places to Start. FAQ FuzzyLogic and Fuzzy Expert Systems. Don't miss FAQ 2, WHAT IS fuzzy logic ? http://www.aaai.org/AITopics/html/fuzzy.html

Fuzzy Logic (a subtopic of Reasoning THE TOPICS AI in the news AI Overview Agents Applications Cognitive Science Education Ethical/Social Expert Systems FAQs History Interfaces Machine Learning Natural Language Philosophy Reasoning Reference Shelf Representation Resources Robots Science Fiction Speech Turing Test Vision What's Left? DIRECTORY How to use this site Announcements A - Z Index Site Map Reference Shelf Search Engine Contact AI Topics Notices Disclosures AI Topics Home AAAI Home QUICK START tips AI Overview A - Z Index AI in the news Doing a Report for School Site Map Reference Shelf How to use this site Search Engine top of page latest news a-z index site map ... inquiries by AAAI Good Places to Start Readings Online ... More Readings see FAQ "Fuzzy Logic is basically a multivalued logic that allows intermediate values to be defined between conventional evaluations like yes/no, true/false, black/white, etc. Notions like rather warm or pretty cold can be formulated mathematically and processed by computers." Bauer et al.

78. A Fuzzy Logic Application (Extension Of SQL) This software implements an extension of SQL with more flexible fuzzy logics comparison tools It allows the exploitation of all the richness of databases. It enables a concrete and powerful use of fuzzy logic in business management. http://www.fuzzy-business.com

79. FANG Fuzzy Logic Page FANGroup fuzzy logic Resources. FAQ fuzzy logic and Fuzzy Expert Systems FAQ FuzzyLogic and Softcomputing A brief course in fuzzy logic and Fuzzy Control. http://www.ie.ncsu.edu/fangroup/fuzzy.dir/indexfuzzy.html

FANGroup Fuzzy Logic Resources Frequently Asked Quetions (FAQ) and Tutorials FAQ: Fuzzy Logic and Fuzzy Expert Systems FAQ: Fuzzy Logic and Soft-computing A brief course in Fuzzy Logic and Fuzzy Control Indexes and Repositories Fuzzy Logic Archive Fuzzy Logic and Neuro-fuzzy resources Yahoo: Fuzzy Logic Fuzzy Sets and Systems by Robert Fuller Other Sites and Resources Research Labs Center for Fuzzy Logic and Intelligent Systems Research Commercial Sites hyperFuzzy Hyperlogic Corp. Fuzzy Systems Engineering Stuff Fuzzy Shower FuzzyCLIPS Books, Journals and Papers Fuzzy Sets and Systems Fuzzy Optimization and Decision Making Newsgroups Newsgroup: comp.ai.fuzzy Mailing Lists Technical University of Vienna Fuzzy Logic Mailing List. Send a mail with the following text in the body: get fuzzy-mail info to Fuzzy Logic Mailing List Back to NCSU OR IE FANG home page This home page is prepared by (almedagl@eos.ncsu.edu)

80. LUT Department Of Information Technology Department of Information Technology. Research areas focus on neural computing, pattern recognition, computer vision, molecular computing, telecommunication applications and technology, optimization, fuzzy logic, industrial statistics and quality control. http://www.it.lut.fi/index_eng.html

Research Research areas Projects Visits Conferences Study Instructions WebOodi WebCT Courses LUT DEPARTMENT OF INFORMATION TECHNOLOGY The degree program of Information Technology was started in 1985 and the Department of Information Technology was founded in 1987. The degree program gives comprehensive knowledge and practical skills, which are needed in product development and design in the IT industry. The main research areas of the Laboratory of Applied Mathematics are fuzzy systems, industrial mathematics and educational technology in mathematics. The main research fields of the Laboratory of Information Processing are machine vision, evolutionary algorithms and software engineering. The research of the Laboratory of Telecommunications is focused on communication networks, telecommunications software and content production. The most recent events: VISITING LECTURES Uusi kurssi Tapahtumakalenteri maaliskuu 2003 Opintojaksojen keskustelupalstat toimivat taas normaalisti ... Asiaa web-sivuista Office: Secretary of the department, Eeva Urpalainen

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