1. Fuzzy Logic A comprehensive sitelist by Robert Full©r http://www.abo.fi/~rfuller/fuzs.html

Fuzzy Sets and Systems Lotfi A. Zadeh , The founder of fuzzy logic comp.ai.fuzzy New fuzzy archive by thread. Fuzzy Logic Tools and Companies. General sources of fuzzy information. Maintained by Bob John. Conferences and Workshops on Fuzzy Systems: 1990-2001 From the Parallel and Distributed Processing Laboratory of the Department of Applied Informatics , University of Macedonia, Thessaloniki, Greece World Federation on Soft Computing Artificial Intelligence-related Frequently Asked Questions Professional Organizations and Networks International Fuzzy Systems Association (IFSA) IFSA is a worldwide organization dedicated to the support and development of the theory of fuzzy sets and systems and related areas and their applications, publishes the International Journal of Fuzzy Sets and Systems, holds International conferences, establishes chapters and sponsors other activities. Japan Society for Fuzzy Theory and Systems (SOFT) Established in 1989. SOFT has 1,670 individual members and 74 company members, publishes an official bimonthly journal and organizes fuzzy systems symposiums. There are 8 regional branches and 8 research groups in SOFT. Berkeley Initiative in Soft Computing (BISC) BISC Program is the world-leading center for basic and applied research in soft computing. The principal constituents of soft computing (SC) are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming belief networks, evolutionary computing including DNA computing, chaos theory and parts of learning theory.

2. Fuzzy Logic Survey of logical systems with a continuum of truth values; from the Stanford Encyclopdia by Petr Hajek . http://plato.stanford.edu/entries/logic-fuzzy/

version history HOW TO CITE THIS ENTRY Stanford Encyclopedia of Philosophy A ... Z This document uses XHTML/Unicode to format the display. If you think special symbols are not displaying correctly, see our guide Displaying Special Characters last substantive content change SEP The Encyclopedia Now Needs Your Support Please Read How You Can Help Keep the Encyclopedia Free Fuzzy Logic The term "fuzzy logic" emerged in the development of the theory of fuzzy sets by Lotfi Zadeh [ Zadeh (1965) ]. A fuzzy subset A of a (crisp) set X is characterized by assigning to each element x of X the degree of membership of x in A (e.g. X is a group of people, A the fuzzy set of old people in X). Now if X is a set of propositions then its elements may be assigned their degree of truth intermediate connectives truth functions different from probability theory since the latter is not truth-functional (the probability of conjunction of two propositions is not determined by the probabilities of those propositions). Two main directions in fuzzy logic have to be distinguished (cf. Zadeh (1994) Fuzzy logic in the broad sense (older, better known, heavily applied but not asking deep logical questions) serves mainly as apparatus for fuzzy control, analysis of vagueness in natural language and several other application domains. It is one of the techniques of

3. Fuzzy Logic Sources Of Information Maintained by Bob John, De Montfort University. http://www.cse.dmu.ac.uk/~rij/fuzzy.html

Fuzzy Logic Sources of Information This source is constantly changing but is an attempt to draw as many of the sources of fuzzy logic information together. My personal fuzzy logic bibliography is available here - mainly references to type 2 and interval valued fuzzy sets but also some other relating to determining membership functions, some neural networks and some neuro fuzzy. Available online is a working paper on fuzzy inferencing systems which describes fuzzy inferencing systems and discusses many of the issues faced by fuzzy systems developers. I am particularly interested in type 2 fuzzy sets and have published some work in this area. Here is a description of my work on type 2 sets as well as more details about the activities of my PhD students. Workshops and Conferences Journals Fuzzy Logic Workers Fuzzy Logic Tools and Companies ... Miscellaneous links If you have any sites of interest relating to any area of fuzzy logic that I can add please e-mail me on rij@dmu.ac.uk

4. Fuzzy Logic Archive The Net s Original fuzzy logic Archive Since 1994. http://www.austinlinks.com/Fuzzy/

The Net's Original Fuzzy Logic Archive - Since 1994 Basics Beverly's Fuzzy Logic Bookstore Brief Course in Fuzzy Logic comp.ai.fuzzy Frequently Asked Questions UseNet Eric Horstkotte on Fuzzy Logic Part 1 - Overview Part 2 - Fuzzy Expert Systems Part 3 - Fuzzy Environmental Control Fuzzy for Beginners ... Fuzzy Logic in Consumer Products Take the Fuzzy Shower Challenge Fuzzy Systems - A Tutorial Fuzzy Logic Development Environment Lotfi Zadeh - Founder of Fuzzy Logic WebMina@austinlinks.com SiteTerrific Web Solutions

5. The MathWorks - Fuzzy Logic Toolbox - Design And Simulate Fuzzy Logic Systems a leading developer and supplier of technical computing software (MATLAB), incl. the fuzzy logic Toolbox, among other math products. http://www.mathworks.com/products/fuzzylogic/

var host_pre = "http://www"; Home Select Country Contact Us Store Search Create Account Log In Industries Academia ... Documentation Other Resources Technical Literature Books Contact sales Free technical kit ... Licensing Options Fuzzy Logic Toolbox 2.2.2 Design and simulate fuzzy logic systems The Fuzzy Logic Toolbox extends the MATLAB technical computing environment with tools for designing systems based on fuzzy logic. Graphical user interfaces (GUIs) guide you through the steps of fuzzy inference system design. Functions are provided for many common fuzzy logic methods, including fuzzy clustering and adaptive neurofuzzy learning. Introduction and Key Features Working with the Fuzzy Logic Toolbox Building a Fuzzy Inference System Modeling Using Fuzzy Logic ... View data sheet Featured Demo: Demos available at upcoming trade shows Language Options: English Deutsch Italiano Site Help ... Trademarks

6. Neusciences NCS provide leadingedge Intelligent Technology products and services http://www.neusciences.com/

Home Advanced Analytics Contact Us Neusciences and the decision support solution provider Software Answers merge Neusciences, developers of advanced analytics software, have merged with Software Answers the established provider of sales analysis and demand forecasting solutions. The new business operates under the Neusciences name and continues to provide the service and products previously sold under the Software Answers label. Neusciences, has been developing advance analytic software over a number of years and this will be used to enhance Software Answers forecasting, data analysis and inventory planning solutions through a plan of continuous development and improvements. has more information about these products and services. Neusciences also provides consultancy and software tools for the application of neural nets, genetic algorithms and other advanced analytic methods to a wide range of business problems from data mining and fraud prevention to image analysis and process optimisation. advanced analytics has more information about these products and services.

7. Welcome To Fuzzy Logic Furry. Fuzzball 5.68. Staff list. http://www.lionking.org/~beshon/fuzzylogic/

How to join Fuzzy Logic MUCK The wizards and administrators The rules and policies Links on and off of this page ***WE'VE MOVED***WE'VE MOVED***WE'VE MOVED*** VISIT FUZZY LOGIC BY TELNET: fuzzylogic.sytes.net 1701 Log in as a guest for your visit by typing: connect guest guest This FurRing site is owned by Beshon Click for the [ Next Site Skip a Page Random Page List ring pages Want to join the ring? go to the FurRing Home Page! Beshon Last updated on 7 April 2003, at 2:35am Pacific Time.

8. Fuzzy Logic Tutorial. fuzzy logic list of books (through Amazon) http://www.fuzzy-logic.com/

FUZZY LOGIC TUTORIAL Fuzzy Logic for "Just Plain Folks" (Online Book, Free for your personal use.) Ch. 1 of 3. Fuzzy Logic - A Powerful New Way to Analyze and Control Complex Systems Ch. 2 of 3. An Exciting Moment in the History of Science Ch. 3 of 3. Let's Build a Fuzzy Logic Controller comments or suggestions Counter provided courtesy of digits.com

9. FuzzyTECH Complete Repository for fuzzy logic Applications, including Application Notes, Simulation Software, and Teaching Materials. http://www.fuzzytech.com/

Sorry, noframes-version not available.

10. Fuzzy Logic Tutorial - An Introduction fuzzy logic Tutorial. PART I Introduction to fuzzy logic INTRODUCTION WHERE DID fuzzy logic COME FROM? WHAT IS fuzzy logic? http://www.seattlerobotics.org/encoder/mar98/fuz/flindex.html

SRS Home Front Page Monthly Issue Index Search WWW Search seattlerobotics.org Fuzzy Logic Tutorial PART I - Introduction to Fuzzy Logic INTRODUCTION WHERE DID FUZZY LOGIC COME FROM? WHAT IS FUZZY LOGIC? ... Author Information

11. Fuzzy Logic Tutorial - An Introduction fuzzy logic Tutorial. PART I Introduction to fuzzy logic. INTRODUCTION. WHERE DID fuzzy logic COME FROM? WHAT IS fuzzy logic? http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

12. Search WWW Search Seattlerobotics.org FUZZY LOGIC - AN The concept of fuzzy logic (FL) was conceived by Lotfi Zadeh, a professor at the 1 Europe Gets into fuzzy logic (Electronics Engineering Times, Nov. http://www.seattlerobotics.org/encoder/mar98/fuz/fl_part1.html

SRS Home Front Page Monthly Issue Index Search WWW Search seattlerobotics.org FUZZY LOGIC - AN INTRODUCTION PART 1 by Steven D. Kaehler INTRODUCTION This is the first in a series of six articles intended to share information and experience in the realm of fuzzy logic (FL) and its application. This article will introduce FL. Through the course of this article series, a simple implementation will be explained in detail. Each article will include additional outside resource references for interested readers. WHERE DID FUZZY LOGIC COME FROM? The concept of Fuzzy Logic (FL) was conceived by Lotfi Zadeh, a professor at the University of California at Berkley, and presented not as a control methodology, but as a way of processing data by allowing partial set membership rather than crisp set membership or non-membership. This approach to set theory was not applied to control systems until the 70's due to insufficient small-computer capability prior to that time. Professor Zadeh reasoned that people do not require precise, numerical information input, and yet they are capable of highly adaptive control. If feedback controllers could be programmed to accept noisy, imprecise input, they would be much more effective and perhaps easier to implement. Unfortunately, U.S. manufacturers have not been so quick to embrace this technology while the Europeans and Japanese have been aggressively building real products around it. WHAT IS FUZZY LOGIC?

13. Fuzzy Logic Laboratorium Linz - Hagenberg fuzzy logic Laboratorium, Softwarepark Hagenberg / Johannes Kepler Universität. Lectures, seminars, publications, staff, projects, other resources. http://www.flll.uni-linz.ac.at/

Dieser Text wird angezeigt, wenn der Browser keine Frames kennt

14. Fuzzy Logic Internet resources on fuzzy logic, professional organizations and networks, journals and books, research groups. http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

15. Ortech Engineering's Fuzzy Logic Reservoir by Ortech Engineering Inc. http://www.ortech-engr.com/fuzzy/reservoir.html

Ortech Engineering Inc. Fuzzy Logic Reservoir Make sure your air tanks are full and take a deep breath before diving into this reservoir. Also be sure to string a return line during your exploration or you might never find your way back home. Gems located at this site are marked by a treasure chest all others will take you on a cyberdive. Enjoy your trip. Jump off the diving platform in one of the following directions to begin your adventure: The Diving Platform Enjoy Our Crystal Clear Waters On-line Papers, Journals, and other Publications Visit Our Coral Reefs Fuzzy Logic Labs at Universities See the Colorful Fish in the Sea A Virtual Who's Who of Fuzzy Logic on the Internet Discover the Lost Continent of Atlantis Fuzzy Logic Societies and Organizations Explore Underwater Caverns Fuzzy Logic Research Centers Relax and Visit With Other Divers Newsgroups and Archives Watch Out for the Sharks Commercial Product and Service Providers Our Crystal Clear Waters This part of the reservoir contains references to on-line papers, journals, and other publications. You should get a clear understanding of fuzzy logic and its applications from this information.

16. The MathWorks - MATLAB And Simulink For Technical Computing Developers of MATLAB, Simulink and Stateflow. The MathWorks offers a set of integrated products for data analysis, visualization, application http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

17. Fuzzy Logic Archive The Net's Original fuzzy logic Archive Since 1994. http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

18. Fuzzy Systems - A Tutorial It was Plato who laid the foundation for what would become fuzzy logic, indicating that there Fuzzy systems, including fuzzy logic and fuzzy set theory, http://www.austinlinks.com/Fuzzy/tutorial.html

FUZZY SYSTEMS - A TUTORIAL by James F. Brule' INTRODUCTION Fuzzy systems is an alternative to traditional notions of set membership and logic that has its origins in ancient Greek philosophy, and applications at the leading edge of Artificial Intelligence. Yet, despite its long-standing origins, it is a relatively new field, and as such leaves much room for development. This paper will present the foundations of fuzzy systems, along with some of the more noteworthy objections to its use, with examples drawn from current research in the field of Artificial Intelligence. Ultimately, it will be demonstrated that the use of fuzzy systems makes a viable addition to the field of Artificial Intelligence, and perhaps more generally to formal mathematics as a whole. THE PROBLEM: REAL-WORLD VAGUENESS Natural language abounds with vague and imprecise concepts, such as "Sally is tall," or "It is very hot today." Such statements are difficult to translate into more precise language without losing some of their semantic value: for example, the statement "Sally's height is 152 cm." does not explicitly state that she is tall, and the statement "Sally's height is 1.2 standard deviations about the mean height for women of her age in her culture" is fraught with difficulties: would a woman 1.1999999 standard deviations above the mean be tall? Which culture does Sally belong to, and how is membership in it defined? While it might be argued that such vagueness is an obstacle to clarity of meaning, only the most staunch traditionalists would hold that there is no loss of richness of meaning when statements such as "Sally is tall" are discarded from a language. Yet this is just what happens when one tries to translate human language into classic logic. Such a loss is not noticed in the development of a payroll program, perhaps, but when one wants to allow for Šnatural language queries, or "knowledge representation" in expert systems, the meanings lost are often those being searched for.

19. Peter GECZY - RIKEN Brain Science Institute (BSI) RIKEN Brain Science Institute. Neural networks, artificial intelligence, neuroscience, fuzzy logic, rule acquisition, rule extraction from neural networks, Autonomous Connectionistic Engine (ACE), neural network resources. http://www.brain.riken.jp/labs/mns/geczy/

Peter GECZY's home page contains personal information and numerous links to Research, Software, Journals, Books, Societies, Databases, Newsgroups, Archives, E-Lists, etc. Resources are well organized, thoroughly catalogued and presented in easy-to-access manner with user friendly graphical interface. [Click To Enter] [Top] [Research] [Personal] ... [Links]

20. FuzzyTECH Complete Repository for fuzzy logic Applications, including Application Notes, Simulation Software, and Teaching Materials http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

Page 1     1-20 of 145    1  | 2  | 3  | 4  | 5  | 6  | 7  | 8  | Next 20