81. What Is Fuzzy Logic? Definition From WhatIs.com fuzzy logic. Fuzzy logic is an approach to computing based on degrees of truth rather than the usual true or false (1 or 0) Boolean logic on which the modern computer is based. http://whatis.techtarget.com/definition/0,,sid9_gci212172,00.html

fuzzy logic HOME SEARCH BROWSE BY CATEGORY BROWSE BY ALPHABET ... WHITE PAPERS Search our IT-specific encyclopedia for: Browse alphabetically: A B C D ... Programming fuzzy logic Fuzzy logic is an approach to computing based on "degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based. The idea of fuzzy logic was first advanced by Dr. Lotfi Zadeh of the University of California at Berkeley in the 1960s. Dr. Zadeh was working on the problem of computer understanding of natural language. Natural language (like most other activities in life and indeed the universe) is not easily translated into the absolute terms of and 1. (Whether everything is ultimately describable in binary terms is a philosophical question worth pursuing, but in practice much data we might want to feed a computer is in some state in between and so, frequently, are the results of computing.) Fuzzy logic includes and 1 as extreme cases of truth (or "the state of matters" or "fact") but also includes the various states of truth in between so that, for example, the result of a comparison between two things could be not "tall" or "short" but ".38 of tallness." Fuzzy logic seems closer to the way our brains work. We aggregate data and form a number of partial truths which we aggregate further into higher truths which in turn, when certain thresholds are exceeded, cause certain further results such as motor reaction. A similar kind of process is used in artificial computer

82. Jerry M. Mendel University of Southern Carolina, USA. http://sipi.usc.edu/~mendel/

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83. Fuzzy-Logic Enterprises Finally, FuzzyLogic Enterprises Upstream has successfully added London to their repertoire. They are based in Telecity’s newest Data Center, Powergate. http://www.fuzzy-logic.net/

@import "http://www.fuzzy-logic.net/wp-content/themes/fusion/style.css"; Fuzzy-Logic Enterprises Home Services Virtual Private Servers ... Server Now in London Posted by bolton.k in Business Plan on December 16, 2009 We hope that the recent migration will be worth it, and proving a good asset to Fuzzy-Logic Enterprises. london powergate telecity upstream ... New Site Online Posted by bolton.k in Uncategorized on October 28, 2009 No Comments Posted by bolton.k in Business Plan on September 27, 2009 Fuzzy-Logic Enterprises has been very busy over the past few weeks, with migration and new business plans coming into effect. Over the coming months, you will see drastic changes to our services, including new services being offered and existing services being updated to give you better customer satisfaction. We have split our project development into 3 main stages (described below). These stages aim to provide us a framework to work with, and show you, our prospective customers what we are doing. Stage One (Started: 21st September 2009) Packages being offered: 3 Main Packages plus customised solutions offered.

84. Fuzzy Logic - FuzzyFluid Is Using Fuzzy Logic To Interpret Cerebrospinal Fluid D FuzzyFluid 1.11 The purpose of the FuzzyFluid program is to visualise the use of fuzzy logic in an expert system developed to interpret cerebrospinal fluid, which can be used in http://fuzzy-logic.softalizer.com/

Search our site: Fuzzy Logic FuzzyFluid 1.11 The purpose of the FuzzyFluid program is to visualise the use of fuzzy logic in an expert system developed to interpret cerebrospinal fluid, which can be used in normal laboratory procedures, especially in the field of pathology. The program requires information about cytological findings as well as data on glucose concentration and protein levels. cerebrospinal fluid csf cytology pathology ... Fuzzy System Component 1.0 Artificial Fuzzy System Component is designed for researchers in the fields of artificial control, it can be used to build artificial fuzzy systems, also it provides following functionalities: Visual Editing Visual Testing Saving / Loading Fast Signal Processing (Fuzzification / Inference / Defuzzification) Visual Signal Processing fuzzy logic fuzzy system artificial activex ... Superior Search 2004 Superior Search is a simple but powerful searching tool for PC. This specialised program enables users to find key words, text passages, numbers and any other textual information lightning quick in files and file archives in a large number of file formats. Superior Search 2004 is not confounded by unusual file formats, compressed file archives or e-mail archives including attachments (that might be also compressed). search mail pdf archieves ... Softalizer.com

85. BISC Program; Soft Computing University of California - Berkeley, USA. http://www.cs.berkeley.edu/~zadeh/

BISC The Berkeley Initiative in Soft Computing Electrical Engineering and Computer Sciences Department 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. Some of the most striking achievements of BISC Program are: fuzzy reasoning (set and logic), new soft computing algorithms making intelligent, semi-unsupervised use of large quantities of complex data, uncertainty analysis, perception-based decision analysis and decision support systems for risk analysis and management, computing with words, computational theory of perception (CTP), and precisiated natural language (PNL). Professional affiliation and title Professor in the Graduate School, Computer Science Division Department of Electrical Engineering and Computer Sciences University of California Berkeley, CA 94720 -1776

86. Fuzzy Logic : Home : World Of Warcraft (WOW) Guild Site At GuildPortal On the Home page Welcome, News, Recent Posts on Forum, Shout!, Members Online and more. Fuzzy Logic is a World of Warcraft guild with their guild site hosted at GuildPortal.com http://fuzzylogic.guildportal.com/

87. Fukuda, Toshio Nagoya University, Japan. http://www.mein.nagoya-u.ac.jp/staff/fukuda-e.html

Professor : Toshio Fukuda IEEE Division X Director, 2001-2002 Click here for my statement. Toshio Fukuda (M'83-SM'93-F'95) graduated from Waseda University, Tokyo, Japan in 1971 and received the Master of Engineering degree and the Doctor of Engineering degree both from the University of Tokyo, in 1973 and 1977, respectively. Meanwhile, he studied at the graduate school of Yale University from 1973 to 1975. In 1977, he joined the National Mechanical Engineering Laboratory in Japan. From 1979 to 1980, he was a Visiting Research Fellow at the University of Stuttgart, West Germany. He joined the Science University of Tokyo in 1981, and then joined Department of Mechanical Engineering, Nagoya University, Japan in 1989. At present, he is Professor of Dept. of Micro System Engineering and Dept. of Mechano-Informatics and Systems, Nagoya University, Japan. He is mainly engaging in the research fields of intelligent robotic system, self-organizing system, micro robotics, robotic system under hostile environment, bio-robotic system, neuromorphic intelligent control, fuzzy control, control of mechanical systems and technical diagnosis. He has received many awards such as Contribution Award from the Robotics and Mechatornics Division of JSME (1995), Best Paper Award of ICEC'96 and Best Paper Award of IECON'96, City of Grenoble Medal (1997), IEEE Eugene Mittelmann Achievement Award (1997), Banki Donat Medal from Polytechnic University of Budapest, Hungary (1997), and Medal from City of Sartillo, Mexico (1998), IEEE Third Millennium Medal (2000). IEEE Fellow (1995). SICE Fellow (1995).

88. Cliff Joslyn Los Alamos National Laboratory, USA. http://www.c3.lanl.gov/~joslyn/

[an error occurred while processing this directive] Cliff Joslyn Systems Scientist (Cybernetician at Large) Updated July, 2006 MS B265 Los Alamos National Laboratory Los Alamos, NM 87545 USA email: joslyn at lanl.gov www.c3.lanl.gov/~joslyn Cliff Joslyn leads the Knowledge and Information Systems Science research team in the Modeling, Algorithms and Informatics (CCS-3) Group of the Computer, Computational, and Statistical Sciences Division at the Los Alamos National Laboratory . As an interdsiciplinary information scientist, Joslyn's work extends from order theoretical approaches to knowledge discovery and database analysis to include computational semiotics, qualitative modeling, and generalized information theory, with applications in computational biology, infrastructure protection, homeland defense, intelligence analysis, and defense transformation. Dr. Joslyn serves on the editorial boards of the International Journal of General Systems , the Journal of Biosemiotics , and Advances in Complex Systems ; is a reviewer for a number of other journals ; an author of many scientific papers ; a member of a number of scientific review committees and an editor of the Principia Cybernetica project for the collaborative development of a systemic-evolutionary philosophy.

89. Prof. Dr. Rudolf Kruse University of Magdeburg, Germany. http://fuzzy.cs.uni-magdeburg.de/~kruse/

This page is outdated. Please use our new page at http://fuzzy.cs.uni-magdeburg.de/wiki/pmwiki.php?n=Mitarbeiter.Kruse

90. Ali A Afzalian Homepage Power and Water Institute of Technology, Iran. http://www.acse.shef.ac.uk/~afzalian/

Ali A Afzalian BSc(Eng), MSc, PhD, IEEE Senior Member Associate Professor Department of Electrical Engineering Shahid Abbaspour University of Technology PO Box 16765-1719, Tehran, Iran Tel.: +98 (021) 7393 2626, Fax : +98 (021) 7731 0425 E-mail addresses: Afzalian AT pwut.ac.ir, Afzalian AT control.toronto.edu Biography: I received my BSc and MSc degrees in Electrical Engineering from the University of Tehran Iran in 1988 and 1991 respectively, and my PhD from University of Sheffield , UK in 1998. I was a visiting professor at the Department of Electrical and Computer Engineering University of Toronto , Canada during 2005-2006 academic year. My research interests include: Supervisory Control of Discrete-Event Systems Fuzzy Logic Neural Networks Neurofuzzy Systems ... Genetic Algorithms , and Electrical Power Systems Control Applications Publications: Journal Articles: Mirzaei M. and Afzalian, Ali. A. Hybrid Modeling and Control of a DC-DC Converter, International Journal on Power Electronics Vol. 1, No., 2008. pp. 414 – 433. Afzalian, A., A. Navabi Niaki

91. Fuzzy Logic The tutorial will introduce the basics of fuzzy logic for data analysis. Fuzzy Logic can be used to model and deal with imprecise information, such as inexact measurements or http://videolectures.net/acai05_berthold_fl/

Log in Register New User Register ... Blog Location: Conferences Jožef Stefan Institute ACAI - 05 $('#tm_browse').addClass('current'); ACAI - 05 Fuzzy Logic author: Michael Berthold , Department of Computer and Information Science, University of Konstanz published: Feb. 25, 2007, recorded: June 2005, views: Categories Top Computer Science Fuzzy Logic Turn off the lights You might be experiencing some problems with Your Video player. Slides Slides Tutorial: Fuzzy Logic Overview Fuzzy Logic: Motivation Characteristic Functions: Crisp Sets ... - Tutorial: Fuzzy Logic - Conclusion Part 1 Related content See Also Personal history More by author Visitors who watched this lecture also watched... Machine Learning, Probability and Graphical Models 22300 views - Sam Roweis, 2006 PhD Thesis Defense: Dynamics of large networks 15324 views - Jure Leskovec, 2008 Support Vector Machines 16051 views - Chih-Jen Lin, 2006 Lectures on Clustering 7376 views - Ulrike von Luxburg, 2007

92. Prof Lahore University of Management Sciences, Pakistan. http://web.lums.edu.pk/~ibeg/

ISMAT BEG, Centre for Advanced Studies in Mathematics, and Department of Mathematics, Lahore University of Management Sciences (LUMS), 54792-Lahore, PAKISTAN E-mail; ibeg@lums.edu.pk Fax +92-42-5722591 Web page http://web.lums.edu.pk/~ibeg My publications on MathSciNet; M My publications on Zentralblatt MATH; http://www.zentralblatt-math.org/zmath/en/search/?q=ai:beg.ismat AREAS OF INTEREST: . Fixed point theory and its applications. Fuzzy set theory. Ordered vector spaces and linear operators. Best approximations. Mathematical economics Curriculum Vitae Publications

93. Fuzzy Logic Inc. - Website Services Fuzzy Logic Inc. supplier of website expertise and services to businesses in Calgary, Alberta http://www.fuzzylogic.ca/

Logical solutions to fuzzy problems Website Services strategy, management, communications, user experience, maintenance About Fuzzy Logic About Micky Gulless Fuzzy Logic Clients Writing Websites and Email ... 5 Fallacies About Websites Calgary, Alberta , Canada info@fuzzylogic.ca Last change August 5, 2010 Posted February 8, 1999

94. Homepage Chris Cornelis University of Ghent, Belgium. http://users.ugent.be/~ccorneli/

Chris Cornelis' homepage "If I hadn't been so adamant to get to work, perhaps I would haven take an effort to apply myself to it right away" (Marcel Proust, "Remembrance of Things Past") Home How to reach me Travel My research and bibliography Ghent University Comments, suggestions, corrections... ? E-mail me at chris.cornelis@ugent.be Latest Revision: January 12, 2008

95. De Cock, Martine Ghent University, Belgium. Research project intelligent information technologies for the internet. http://www.cwi.ugent.be/martine.html

Prof. Dr. Martine De Cock Contact Ghent University Krijgslaan 281 (Building S9, Room 40.09.120.012) B-9000 Gent Belgium Phone: +32 9 264.47.70 Fax: +32 9 264.49.95 E-mail: Martine.DeCock@UGent.be Short biography Martine De Cock holds a M.Sc. and a Ph.D. degree in Computer Science from Ghent University (Belgium). From 1998 until 2005 her activities as a research assistant and a postdoctoral fellow were supported by the Fund for Scientific Research - Flanders. Currently she is a professor at the Department of Applied Mathematics and Computer Science at Ghent University (Belgium). She worked as a visiting scholar in the BISC group at the University of California, Berkeley (USA), the Knowledge Systems Laboratory at Stanford University (USA) and as a visiting associate professor at the Institute of Technology at the University of Washington (USA). Her research interest is computational web intelligence. Teaching 1st semester 2010-2011 Reasoning, Abstracting and Formulating (1st bachelor informatics) Modelling of Fuzziness and Uncertainty (3rd bachelor mathematics) Practicum Mathematics (1st bachelor mathematics) Data Analysis I: Mathematical Principles (1st bachelor biomedical sciences) Publications Papers listed in Web of Science SCI - Science Citation Index Practical Aggregation Operators for Gradual Trust and Distrust P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma

96. Fuzzy Logic Computer Services Fuzzy Logic Computer Services Web Site Closed. Fuzzy Logic is no longer trading. We send out a big thank you to all of our customers for years of loyalty and great support! http://fuzzylogic.com.au/

97. OMEGA ENGINEERING - FUZZY LOGIC Leading manufacturer of process measurement and control products for the scientific, municipal and industrial markets. http://www.omega.com/techref/fuzzylogic.html

Part Number All Omega search term Choose a topic Technical Reference Selection Guide GENERAL - Glossary - Intrinsic Safety - PFA Fluorocarbon TEMPERATURE RELATED - ITS-90 - Thermocouple Ref Tables - Practical Temp Measurement - Intro to Thermocouples - Thermocouple Color Codes - Thermocouple Junction - Fiber Optics - Fuzzy Logic - Heat Wave - Wire Insulation Identification - Infrared Temp Measurment PRESSURE, STRAIN AND FORCE - FAQ - Pipe Thread Dimensions - Pressure Transducers - Strain Gage Technical Data - Waterhammer - Pressure Units Converter FLOW AND LEVEL RELATED - Liquid Flowmeters - Selecting A Flow Meter - Technical Principles of Valves CONDUCTIVITY/ENVIRONMENT - pH Control - Introduction to pH - Dissolved Oxygen - Conductivity and Resistivity - Electrode Basics - Halogen Leak Detector - Ion Selective Electrodes - Turbidity Measurement - Water and Wastewater DATA ACQUISITION RELATED - Data Acquisition Knowledge Base - Transactions Volume 2: Data Acquisition - Based Acquisition Systems - Data Acquisition Systems - Electronic Basics - Data Logging Systems - The RS-232 Standard ELECTRIC HEATER RELATED - Electric Heater Related Fuzzy Logic On/off, PID, microprocessor based, Fuzzy Logic; the evolutionary changes of controls. This brief paper outlines some background of standard PID control and how the implementation of Fuzzy Logic can improve your single feedback control systems. Fuzzy Logic is a particular area of concentration in the study of Artificial Intelligence and is based on the value of that information which is neither definitely true nor false. The information which humans use in their everyday lives to base intuitive decisions and apply general rules of thumb can and should be applied to those control situations which demand them. Acquired knowledge can be a powerful weapon to combat the undesired effects of the system response.

98. Www.icara.de Ergebnisberichte von Forschungsvorhaben aus dem Bereich Klima und Atmosph re Fuzzy-Logic Filter f r die lufchemischen Messreihen an der GAW-Station Zugspitze. kobilanzierung (LCA) von Verkehrssystemen hinsichtlich ihrer umwelt- und klimarelevanten Wirkungen. http://www.icara.de/content/geo.htm

Home Geoscience Media Impressum Geoscience / Fuzzy-Logik / Filterfunktionen / Lokale Agenda Die Logik Vorstellung der Fuzzy-Mengen more.. more.. more.. more..

99. What Is Fuzzy Logic ? What Is Fuzzy Logic ? Fuzzy logic is a powerful problemsolving methodology with a myriad of applications in embedded control and information processing. 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.

100. Vison A human-centric web architecture comprised of semantic markup and fuzzy logics. http://www.cognitiveweb.org

The Vision Mission Discussion Projects Contacts The CognitiveWeb is a human-centric web architecture comprised of semantic markup and fuzzy logics designed to support collaborative decision-making, critical thinking and conflict resolution processes. The goal of the CognitiveWeb is to extend human decision horizons by compensating for some intrinsic aspects of selective attention. The key issues for the CognitiveWeb are: Externalities Decision-horizons Focus of Attention Enlightened Self-Interest The Mission The site is devoted to the advancement, promulgation, and realization of the CognitiveWeb through standards activities, technology prototypes, and building capacity in coordination with civil society, governments, and business. Community Discussion There is a CognitiveWebWiki for open, public discussion of issues related to the CognitiveWeb effort. Point of Contact Bryan Thompson terms of use

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