41. 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

42. Why Use Fuzzy Logic? Why Use fuzzy logic? fuzzy logic reduces the design development cycle. With a fuzzy logic design methodology some time consuming steps are eliminated. http://www.aptronix.com/fide/whyfuzzy.htm

Why Use Fuzzy Logic? An Alternative Design Methodology Which Is Simpler, And Faster Fuzzy Logic reduces the design development cycle Fuzzy Logic simplifies design complexity Fuzzy Logic improves time to market ... Fuzzy Logic is a paradigm for an alternative design methodology which can be applied in developing both linear and non-linear systems for embedded control. By using fuzzy logic , designers can realize lower development costs, superior features, and better end product performance. Furthermore, products can be brought to market faster and more cost-effectively. An Alternative Design Methodology Which Is Simpler, And Faster In order to appreciate why a fuzzy based design methodology is very attractive in embedded control applications let us examine a typical design flow. Figure 4 illustrates a sequence of design steps required to develop a controller using a conventional and a Fuzzy approach. Using the conventional approach our first step is to understand the physical system and its control requirements. Based on this understanding, our second step is to develop a model which includes the plant, sensors and actuators. The third step is to use linear control theory in order to determine a simplified version of the controller, such as the parameters of a PID controller. The fourth step is to develop an algorithm for the simplified controller. The last step is to simulate the design including the effects of non-linearity, noise, and parameter variations. If the performance is not satisfactory we need to modify our system modeling, re-design the controller, re-write the algorithm and re-try.

43. RobotFlow Linux/Gnome Open Source robotics simulation toolkit for Overflow. Supports vision, signal processing, fuzzy logic, neural nets, and other control methods. Includes drivers for Pioneer2 robots. Written in C++ and licensed under the GNU LGPL. http://robotflow.sourceforge.net/

Project Description RobotFlow is a mobile robotics tookit based on the FlowDesigner project The work on RobotFlow has begun in september 2001 as an University of Sherbrooke project in the Mobile Robotics and Intelligent Systems Laboratory (LABORIUS) . The work on the project still continues and will become available to everybody through SourceForge as a LGPL project. . It primarily supports Linux/Unix using the GNOME GUI. fully customizable control and processing blocks Pioneer2 Robots Player / Stage simulator drivers for Overflow/RobotFlow - Signal processing algorithms (audio + video) - Basic Behaviors - Fuzzy Logic control - Artificial Neural Networks - Embedded super blocks (subnets, iterators) - Basic networking (TCP/IP, broadcast) - Device control (Sony EVI-D30, SICK lasers, etc.) - Finite State Machine (beta) Networks created with the visual interface called "flowdesigner" can also be run as scripts (with no graphical interface), enabling robots with lower resources to fully take advantage of FlowDesigner / RobotFlow. FlowDesigner provides an easy way to create your own data types/structures and blocks as toolkits. Open Architecture FlowDesigner / Robotflow provides the full source code (LGPL license) that you can modify and play with. Users can then improve the processing engine and the toolkits for the benefit of all the users. You can also create your own "private" toolkits, and continue to participate to the development of the "core" library.

44. What Is Fuzzy Logic? - A Word Definition From The Webopedia Computer Dictionary This page describes the term fuzzy logic and lists other pages on the Web where you can find additional information. internet.com, fuzzy logic http://www.webopedia.com/TERM/f/fuzzy_logic.html

You are in the: Small Business Channel Jump to Website ECommerce Guide Small Business Computing Webopedia WinPlanet Enter a word for a definition... ...or choose a computer category. choose one... All Categories Communications Computer Industry Companies Computer Science Data Graphics Hardware Internet and Online Services Mobile Computing Multimedia Networks Open Source Operating Systems Programming Software Standards Types of Computers Wireless Computing World Wide Web Home Term of the Day New Terms New Links ... Be a Commerce Partner fuzzy logic Last modified: Thursday, June 21, 2001 A type of logic that recognizes more than simple true and false values. With fuzzy logic, propositions can be represented with degrees of truthfulness and falsehood. For example, the statement, today is sunny, might be 100% true if there are no clouds, 80% true if there are a few clouds, 50% true if it's hazy and 0% true if it rains all day. Fuzzy logic has proved to be particularly useful in expert system and other artificial intelligence applications . It is also used in some spell checkers to suggest a list of probable words to replace a misspelled one.

45. 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/

46. Fuzzy Logic: Product Information Mathematica software for creating fuzzy sets and fuzzy logic based systems. fuzzy logic requires Mathematica 5 and is available for all Mathematica platforms. http://www.wolfram.com/products/applications/fuzzylogic/

PreloadImages('/common/images2003/btn_products_over.gif','/common/images2003/btn_purchasing_over.gif','/common/images2003/btn_services_over.gif','/common/images2003/btn_new_over.gif','/common/images2003/btn_company_over.gif','/common/images2003/btn_webresource_over.gif'); Products Fuzzy Logic What's New in Version 2? Features ... Give us feedback Sign up for our newsletter: The Most Flexible Environment for Exploring Fuzzy Systems 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, Fuzzy Logic provides practical examples that 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. "This is the most useful computational package for the use and study of fuzzy logic by practicing professionals and students."

47. Yuhui Shi Researcher in Particle swarm optimization, fuzzy logic, evolutionary computation. http://www.engr.iupui.edu/~shi

48. Fuzzy Logic 2 For Mathematica Provides Greater Flexibility For Exploring Fuzzy S fuzzy logic 2 for Mathematica Provides Greater Flexibility for Exploring Fuzzy Systems. New functionality in fuzzy logic 2 includes http://www.wolfram.com/news/fuzzylogic2.html

PreloadImages('/common/images2003/btn_products_over.gif','/common/images2003/btn_purchasing_over.gif','/common/images2003/btn_services_over.gif','/common/images2003/btn_new_over.gif','/common/images2003/btn_company_over.gif','/common/images2003/btn_webresource_over.gif'); News Archive Events MATHwire Technical Software News ... Give us feedback Sign up for our newsletter: Fuzzy Logic 2 for Mathematica Provides Greater Flexibility for Exploring Fuzzy Systems May 28, 2003 Fuzzy Logic 2 from Wolfram Research is an impressive update to this Mathematica application package that has been lauded by users as "the best fuzzy logic software currently available on the market." Version 2 includes a large number of new functions that enhance the already robust set of utilities available with the package as well as other performance improvements resulting in part from the package's ability to capitalize on advances in Mathematica 4 and subsequent versions. Fuzzy Logic provides a flexible environment for creating, modifying, and visualizing fuzzy sets and fuzzy logic-based systems. Built-in functions help users through every stage of the design process to 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. New functionality in Fuzzy Logic

49. Genewood Information on genetic algorithms, fuzzy logic, and artificial intelligence featuring downloadable applications, source code, and links. http://www.genewood.host.sk/

Site content Genetic algorithms, fuzzy logic, artificial intelligence - downloadable applications, source code, other information, links. Applications FindPic (GA) : solving picture puzzle with search space about 10^50. TSP (GA) : traveling salesman problem up to 500 cities. : Borland Delphi source code of simple GA objects + example of solving two nonlinear equations using these objects. FuzQuery (FL) : example of using fuzzy logic to get better and more "human" results in querying data. Other applications : evolving weights and topology of recurrent neural network solving N-parity problem where N = 4 - 8. Info What are genetic algorithms, neural networks and fuzzy logic. Links Other sites related to artificial intelligence and programming. Contact r3ev@yahoo.com

50. Article #1 Of Fuzzy Logic And Its Uses Why? Because of a very simple little thing in which the Japanese have adapted for 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

51. Email Filter And Anti Spam Software From Lyris Technologies Filter that uses fuzzy logic, customizable filters, white/black lists to remove spam. http://www.mailshield.com

Email Filtering Software Unsolicited email (a.k.a. 'spam') is a frustrating time-waster. Anti-spam software and email filtering software help stop spam, block email viruses, prevent relay abuse, and increase email security. About Lyris MailShield MailShield email filtering and anti-spam software was first developed by Lyris in 1998. Our flagship product, MailShield Server , offers server-based protection against spam and unauthorized relay, and enables systems adminstrators to filter mail in numerous ways. MailShield Workgroup helps small businesses centralize their anti-spam administration, and MailShield Desktop allows individual users to protect their desktops from spam directly. NEW SOFTWARE MailShield Desktop 3.1 is now available! MAILING LISTS Join our email lists for MailShield news!

52. Fuzzy Logic And Its Uses Introduction, Background, Fuzzy Sets Fuzzy Operations. Fuzzy Rules Fuzzy Control, 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

53. ..::Diamond Electric - AS ISITMA SOÐUTMA SAN. LTD. ÞTÝ. ::.. Diamond Electric klimalarının T¼rkiye, Kuzey Kıbrıs ve T¼rk Cumhuriyetleri genel distrib¼t¶r¼; ¼r¼nler, fuzzy logic tekniği ve bayi ağı hakkında bilgiler. http://www.diamondelectric.com.tr/

54. Fuzzy Logic Functions: An Overview | The Brunching Shuttlecocks fuzzy logic Functions An Overview by Lore Sjöberg. whatever. whatever LIST. This function returns one of the nine neoboolean values http://www.brunching.com/features/feature-fuzzylogic.html

Fuzzy Logic Functions: An Overview whatever whatever LIST This function returns one of the nine neo-boolean values used in fuzzy logic: true, false, maybe, sure, what, whoa, depends, look-let's-talk-about-this-later-when-we're-not-in-public, and elbows. The value returned is determined by standard anti-random vacillation routines. reconsider reconsider EXPR This causes the program to evaluate an expression until such time as it feels reasonably sure of its conclusion. Depending on the system and expression, this may take a fraction of a second or an entire freshman semester. while holdon while ( EXPR BLOCK holdon ( EXPR BLOCK This works like a standard while loop at first, but at some point the function realizes it's been bringing personal issues into the evaluation in an inappropriate manner and begins to evaluate the expression named by holdon instead in an attempt to appear reasonable. goaway goaway LABEL This causes the program to execute starting at LABEL , while making it clear to the program that you could care less whether it ever returned to the present execution point or not. Calling the apology function later may cause the program to return to the statement directly after the goaway , but it may also cause the program to exit entirely, depending on how much you've been taking it for granted. Use of this function has been generally deprecated since the publication of the landmark essay "'GOAWAY' Considered Thoughtless."

55. 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.

56. 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]

57. 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

58. 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

59. Fuzzy Logic fuzzy logic (a subtopic of Reasoning). Good Places to Start. FAQ fuzzy logic 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? 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 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 Good Places to Start Readings Online Related Web Sites Related Pages ... More Readings see FAQ Recent News about THE TOPICS (annotated) "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.

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

GIANGIACOMO GERLA Department of Mathematics and Information Sciences University of Salerno Via Ponte Don Melilli 84081 Fisciano (Salerno) ITALY. gerla@libero.it Full Professor in Computability Theory and Formal Logic Member of Soft Computing Laboratory Director of the Doctorate in Mathematics Interested in: Fuzzy Logic, Vagueness, Fuzzy control, Multi-Valued Logic, Approximate Reasoning, Similarity Logic, Fuzzy Computability, Decidable and Effectively enumerable fuzzy sets, Extension principle, Abstract logic, Closure operators, Point-free geometry. LIST OF PAPERS DOWNLOAD AREA A wonderful book I suggest to buy ( ... unfortunately Kluwer is not so magnanimous to give it free) G. Gerla. Fuzzy Logic: Mathematical Tools for Approximate reasoning (Kluwer Editor). Contents Preface Hajek-comment Gottwald-comment ... Gylys-comment Paradoxes (Paradoxes like "Heap paradox" in fuzzy set theory, paradox in relativity theory) G. Gerla Why I have an extraterrestial ancestor Fuzzy Computability (The notions of recursively enumerable fuzzy subset and decidable fuzzy subsets are defined. Also, some limitative theorems for fuzzy logic is exposed like the famous Gödel theorems)

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