61. EUSFLAT - European Society For Fuzzy Logic And Technology Chp fuzzy logic Research And Lifefuzzy logic RESEARCH AND LIFE. History and Goals. In 1989, MITI decided to found About fuzzy logic. fuzzy logic, invented by Professor Lotfi http://viking.ibspan.waw.pl/eusflat/

EUSFLAT General Assembly on the Occasion of IPMU 2004 in Perugia, Italy New book on intelligent agent technology 10th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Perugia, Italy, July 4-9, 2004. Int. Conf. on Artificial Intelligence and Soft Computing, Zakopane, Poland, June 7-11, 2004. Member of the International Fuzzy Systems Association (IFSA)

62. Fuzzy Logic - Wikipedia, The Free Encyclopedia fuzzy logic. From Wikipedia, the free encyclopedia. fuzzy logic is a Examples where fuzzy logic is used. Elevators; Cruise Control; Lord http://en.wikipedia.org/wiki/Fuzzy_logic

Fuzzy logic From Wikipedia, the free encyclopedia. Fuzzy Logic is a superset of Boolean logic dealing with the concept of partial truth . Whereas classical logic holds that everything can be expressed in binary terms (0 or 1, black or white, yes or no), fuzzy logic replaces Boolean truth values with degrees of truth which are very similar to probabilities (except that they need not sum to one). This allows for values between and 1, shades of gray, and maybe; it allows partial membership in a set. It is highly related to fuzzy sets and possibility theory . It was introduced in the 1960s by Dr. Lotfi Zadeh of UC Berkeley . Fuzzy logic is controversial. It is widely accepted within the engineering and computer science communities but generally rejected by mathematicians and (in particular) statisticians. Critics argue that it cannot be a superset of ordinary set theory since membership functions are defined in terms of conventional sets. Others argue that it is unscientific by the standards of Karl Popper , since set membership values are not empirically verifiable. Table of contents 1 Applications: Home appliances and more 2 Common misconceptions 3 Examples where Fuzzy Logic is used 4 External Links ... edit Applications: Home appliances and more Fuzzy logic can be used to control household appliances such as washing machines (which sense load size and detergent concentration and adjust their wash cycles accordingly) and refrigerators A basic application might quantify where a limited range applies to a smooth spectrum, for instance, in temperature measurement for anti-lock brakes to function properly. Truth values derived from the specific temperature are mapped to a series of candidate quantities. These quantities can then be used to determine a separate function in accordance with the graduated value scheme.

63. Fuzzy Logic fuzzy logic. The binary logic of fuzzy logic offers more graceful alternatives. by Bart Kosko and Satoru Isaka. BART KOSKO and SATORU http://www.fortunecity.com/emachines/e11/86/fuzzylog.html

web hosting domain names email addresses 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.

64. 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

Services References News Contacts and CVs ... About us Key markets Pulp and Paper Panelboard Energy Automation and Process control Products Controller Series Predictor Series Multisimplex -Pricing information ... Download Key application fields Process Optimization Environment Laboratories Support ... Sponsor children MultiSimplex® 2.1 A powerful tool for design of experiments and optimization. (Software review) 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.)

65. Web Site Has Moved Homepage 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

EMSL web external site has moved to www.emsl.pnl.gov (no :2080 is needed) Please update your bookmarks

66. Fuzzy Logic And Musical Decisions fuzzy logic and Musical Decisions. Peter Elsea, University of California, Santa Cruz. This article is 11. Crisp and fuzzy logic. The preceeding http://arts.ucsc.edu/EMS/Music/research/FuzzyLogicTutor/FuzzyTut.html

Fuzzy Logic and Musical Decisions Peter Elsea, University of California, Santa Cruz Abstract: This article presents some of the core concepts of Fuzzy Logic and demonstrates how they may be applied to problems common in music analysis and composition. Contents: Representation of pitches as sets Crisp and fuzzy logic Reasoning with Fuzzy Logic Using fuzzy reasoning to produce chord inversions. ... Further Study Representation of pitches as sets In the max environment, pitches are necessarily represented as numbers, typically by the MIDI code required to produce that pitch on a synthesizer. We must begin with and return to this representation, but for the actual manipulation of pitch data other methods are desirable, methods that are reflective of the phenomena of octave and key. A common first step is to translate the midi pitch number (mpn) into two numbers, representing pitch class (pc) and octave (oct) this is done with the formulas: oct = mpn / 12 pc = mpn % 12 The eventual reconstruction of the mpn is done by mpn = 12*oct + pc In this system pc can take the values - 11, in which represents a C. Oct typically ranges from to 10. Middle C, which is called C3 in the MIDI literature, and C4 by most musicians, is octave 5 after this conversion.

67. Bruno Di Stefano S Fuzzy Logic Links - URL Http//www3.sympatico. Bruno Di Stefano s fuzzy logic Links (Mar. 16, 2000). Fuzzy Tuning Welcome to Neu Sciences. Conferences. Consulting Services In fuzzy logic. http://www.ecf.toronto.edu/~bruno/fzlnk.html

Bruno Di Stefano's Fuzzy Logic Links (Mar. 16, 2000) Visitors since Aug. 1, 2000 Academic Papers on the Web Bart Kosko ``Neural Fuzzy Agents for Profile Learning and Adaptive Object Matching,'' with Sanya Mitaim, Presence, vol. 7, no. 6, pp. 617-637, December 1998. ``Adaptive Joint Fuzzy Sets for Function Approximation,'' with Sanya Mitaim, Proceedings of the 1997 International Conference on Neural Networks (ICNN-97), pp. 537-542, June 1997. ``Fuzzy Throttle and Brake Control for Platoons of Smart Cars,'' with Hyun Mun Kim and Julie Dickerson, Fuzzy Sets and Systems, vol. 84, no. 3, 209-234, 23 December 1996. ``What is the Best Shape for a Fuzzy Set in Function Approximation?,'' with Sanya Mitaim, Proceedings of the 5th IEEE International Conference on Fuzzy Systems (FUZZ-96), pp. 1237-1243, September 1996. A FUZZY ADAPTIVE LEARNING CONTROL NETWORK WITH ... Journal of Accounting and Computers Issue 12 Article 1 The Semiotics of Control Rules: 'What Do You Mean by Positive Small?' Top ... Home Archives Mail Archives Fuzzy archive: By Thread - 2000 Fuzzy archive by thread - 1999 Fuzzy archive by thread - 1998 ... Home Books Amazon.com: buying info: Fuzzy Thinking : The New Science of Fuzzy Logic

68. 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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69. FLLL - Applications For Fuzzy Logic Applications for fuzzy logic http://www.mines.u-nancy.fr/~gueniffe/CoursEMN/I31/fcourse/fuzzy_appl.10.html

70. Free Fuzzy Logic Libarary The Free fuzzy logic Library (FFLL) is an open source fuzzy logic class library and API that is optimized for speed critical applications, such as video games. http://ffll.sourceforge.net/

Free Fuzzy Logic Library Home License History Class Hierarchy ... Downloads What is FFLL? The Free Fuzzy Logic Library (FFLL) is an open source fuzzy logic class library and API that is optimized for speed critical applications, such as video games. FFLL is able to load files that adhere to the IEC 61131-7 standard FFLL was a part originally released as part of the book: AI Game Programming Wisdom . A book containing over 650 pages of AI programming gems. Louder!'s own Michael Zarozinski contributed a chapter detailing the fuzzy logic class libraries that Spark! was built upon. What do you want to know more about? Contributing to the development of FFLL Getting FFLL License Class Hierarchy ... The company behind FFLL What's New August 8, 2003 FFLL V2.2.1 released Spark! Viewer download available - see what your fuzzy logic models look like! Sample FCL and projects files posted Louder Than A Bomb! Software

71. INFORM UK - Advanced Optimization! 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 Production Systems - Sync-To-Market Manufacturing Fuzzy Logic Systems - Risk Management / fuzzyTECH

72. PC AI - Fuzzy Logic fuzzy logic. Overview fuzzy logic is a superset of conventional (Boolean) logic that has been extended to handle the uncertainty in data. 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.

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 KnowledgeBased Systems (IPMU 2004), Perugia, Italy, July 4-9, 2004. Member of the International Fuzzy Systems Association (IFSA). http://www.eusflat.org/

EUSFLAT General Assembly on the Occasion of IPMU 2004 in Perugia, Italy New book on intelligent agent technology 10th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Perugia, Italy, July 4-9, 2004. Int. Conf. on Artificial Intelligence and Soft Computing, Zakopane, Poland, June 7-11, 2004. Member of the International Fuzzy Systems Association (IFSA)

75. Introduction To Fuzzy Logic A Crisp Introduction to fuzzy logic. Although the term fuzzy logic might conjure notions of bad logic, it actually refers to a logic of approximation. http://www-ugrad.cs.colorado.edu/~cs3202/papers/Brigette_Krantz.html

76. Hitachi Micro Systems Asia Smart card design 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.

77. Fuzzy Logic Jump Start. fuzzy logic list of books (through Amazon) http://www.fuzzy-logic.com/index.htm

FUZZY LOGIC JUMP-START PUBLICATIONS 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

78. IRIDIA Projects: Fuzzy Logic In Autonomous Robot Navigation Using fuzzy logic in Autonomous Robot Navigation. Design Fuzzy behaviors fuzzy logic control techniques can be used to design individual behavior units. http://iridia.ulb.ac.be/Projects/flar.html

Main Projects People Meetings Library Using Fuzzy Logic in Autonomous Robot Navigation We address the problem of autonomous robot navigation in unstructured environments. By this, we mean the ability to move purposefully and without human intervention in real-world environments that have not been specifically engineered for the robot. In this research line, we inspect the use of techniques based on fuzzy logic to address some of the difficult issues in this field. In a related project , we study the use of machine learning for a similar goal. Pour les lecteurs francophones Autonomous robot navigation The development of techniques for autonomous robot navigation constitutes one of the major trends in the current research on mobile robotics. Two motivations underlie this trend. First, current industrial robots lack flexibility and autonomy: typically, these robots perform pre-programmed sequences of operations in highly constrained environments, and cannot deal with unexpected situations. Second, there is a clear emerging market for autonomous robots; possible applications range from intelligent service robots in offices, hospitals and factory floors, to maintenance robots operating in hazardous environments, or rescue robots operating in disaster areas. One of the main challenges posed by autonomous robot navigation is that the information about the robot's environment is normally uncertain, approximate, incomplete, or just wrong. On the one hand, real-world environments contain elements of variability that limit the utility prior information. For example, in a typical office environment furniture may change in position (chairs) and shape (drawers in desks); objects may move with unpredictable dynamics (people and carts); and even topological properties may change (doors may be closed, corridors may be blocked). On the other hand, information collected at run-time by the sensors is affected by limited by the sensor's noise, by the limited field of view, and by the inherent difficulty of the perceptual interpretation process.

79. Fuzzy Logic Singersongwriter duo comprising of vocalist Liz Sumner and composer and multi-instrumentalist Michael Cohen. Gig-list, recordings information, audio samples, and history. http://www.folkzone.com/FuzzyLogic/welcome.htm

The Fuzzy Logic Home Page Fuzzy Logic is a two-headed, four-legged singer/songwriter also known as Liz Sumner and Michael Cohen. She's the singer, he's the songwriter, and together they'll convince you that two heads are better than one. Pick a genre. Fuzzy Logic has a song that fits it folk ballad, jazz waltz, tin pan alley torch song, or new age novelty number. As soon as you think you've got 'em figured out they'll surprise you. In 1988 Michael and Liz formed the band Lip Service along with Bobbi Vollendorff and Glenn Austin. They performed at festivals and coffee houses across the Pacific Northwest. Their music could be heard on radio programs in the greater Seattle area, and they appeared on Sandy Bradley's Potluck, broadcast nationwide on NPR. Michael and Liz have placed highly in songwriting competitions and both were Kerrville finalists in 1993. In 1994 Michael and Liz decided to move to New England and settled in Marlborough, NH. They discovered the area's thriving folk music scene and became a part of it as Fuzzy Logic. Their first cd as a duo, Doing The Best I Can, was released in May 2000. Tracks from Fuzzy Logic - doing the best I can Track Name Length (size) Bahia Firm Thighs Scene of Your Crime Everything's a Conspiracy Contact Info: FuzzyLogic@folkzone.com

80. Life.anu.edu.au/complex_systems/fuzzy.html Economist.com fuzzy logicfuzzy logic This headline is (half) false Oct 2nd 2003 From The Economist print edition. A new way to analyse selfreferential and contradictory sentences http://life.anu.edu.au/complex_systems/fuzzy.html

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