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Fuzzy Logic: more books (100)

Fuzzy Logic and Probability Applications: A Practical Guide (ASA-SIAM Series on Statistics and Applied Probability)

Fuzzy Logic for Embedded Systems Applications (Embedded Technology) by Ahmad Ibrahim, 2003-10-10

Fuzzy Logic Foundations and Industrial Applications (International Series in Intelligent Technologies)

Logic and set theory: With applications by Philip M Cheifetz, 2004

Fuzzy Control by Kevin M. Passino, Stephan Yurkovich, 1997-09

Fuzzy Logic in Action: Applications in Epidemiology and Beyond (Studies in Fuzziness and Soft Computing) by Eduardo Massad, Neli R.S. Ortega, et all 2009-02-03

Fuzzy Logic in Financial Analysis (Studies in Fuzziness and Soft Computing) by Anna Maria Gil-Lafuente, 2010-11-30

Advances in Fuzzy Clustering and its Applications

Design Considerations of Time in Fuzzy Systems (APPLIED OPTIMIZATION Volume 35) by Jernej Virant, 1999-11-01

Fuzzy Engineering by Bart Kosko, 1996-10-07

Fuzzy Logic in Management (International Series in Operations Research & Management Science) by Christer Carlsson, Mario Fedrizzi, et all 2003-12-31

Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems by Guanrong Chen, Trung Tat Pham, 2000-11-27

Metamathematics of Fuzzy Logic (Trends in Logic) by Petr Hájek, 2001-11-30

Deviant Logic, Fuzzy Logic: Beyond the Formalism by Susan Haack, 1996-12-15

lists with details

Fuzzy Logic Tutorial.
fuzzy logic FOR JUST PLAIN FOLKS by Thomas Sowell. Chapter 1 fuzzy logic aPowerful New Way to Analyze and Control Complex Systems. The fuzzy logic Method.
http://www.fuzzy-logic.com/Ch1.htm

Extractions: FUZZY LOGIC FOR "JUST PLAIN FOLKS" by Thomas Sowell Chapter 1: Fuzzy Logic - a Powerful New Way to Analyze and Control Complex Systems Introduction Welcome to the wonderful world of fuzzy logic, the new science you can use to powerfully get things done. Add the ability to utilize personal computer based fuzzy logic analysis and control to your technical and management skills and you can do things that humans and machines cannot otherwise do. Get a competitive edge! Following is the base on which fuzzy logic is built: As the complexity of a system increases, it becomes more difficult and eventually impossible to make a precise statement about its behavior, eventually arriving at a point of complexity where the fuzzy logic method born in humans is the only way to get at the problem. (Originally identified and set forth by Lotfi A. Zadeh, Ph.D., University of California, Berkeley) Fuzzy logic is used in system control and analysis design, because it shortens the time for engineering development and sometimes, in the case of highly complex systems, is the only way to solve the problem. The following chapters of this book attempt to explain for us "Just Plain Folks" how the "fuzzy logic method born in humans" is used to evaluate and control complex systems. Although most of the time we think of "control" as having to do with controlling a physical system, there is no such limitation in the concept as initially presented by Dr. Zadeh. Fuzzy logic can apply also to economics, psychology, marketing, weather forecasting, biology, politics ...... to any large complex system.
OMEGA ENGINEERING - FUZZY LOGIC
Leading manufacturer of process measurement and control products for the scientific, municipal and Category Computers Artificial Intelligence Fuzzy Businessfuzzy logic. On/off, PID, microprocessor based, fuzzy logic; the evolutionarychanges of controls. This brief paper outlines some
http://www.omega.com/techref/fuzzylogic.html

Extractions: Technical Reference Selection Guide GENERAL - Glossary - Intrinsic Safety - Teflon 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.
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/

Extractions: RobotFlow is a mobile robotics tookit based on the The work on RobotFlow as 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. The library is written in C++ and includes :
SMAPI SA
A Swiss consulting company for process control, neural network, fuzzy logic, expert system, LIMS, CMMS and Process Database.
http://www.smapi2.com
Tenti Financial Management
Sviluppo di trading system basati su reti neurali, algoritmi genetici e fuzzy logic. Analisi sugli investimenti rivolta a banche, fondi d'investimento, assicurazioni e privati.
http://www.aafinman.ch
Fuzzy Logic Functions: An Overview | The Brunching Shuttlecocks
fuzzy logic Functions An Overview by Lore Sjöberg. whatever. whateverLIST. This function returns one of the nine neoboolean values
http://www.brunching.com/features/feature-fuzzylogic.html

Extractions: 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."
..::Diamond Electric - AS ISITMA SOÐUTMA SAN. LTD. ÞTÝ. ::..
Diamond Electric klimalarÄ±nÄ±n T¼rkiye, Kuzey KÄ±brÄ±s ve T¼rk Cumhuriyetleri genel distrib¼t¶r¼; ¼r¼nler, fuzzy logic tekniÄi ve bayi aÄÄ± hakkÄ±nda bilgiler.
http://www.diamondelectric.com.tr/
BBspot - Fuzzy Logic
December 24, 2002 Happy Holidays January 16, 2003 - The Sting. emailthe author of fuzzy logic. Recommend fuzzy logic to Your Friends.
http://www.bbspot.com/comics/fuzzy_logic/
Genewood
Information on genetic algorithms, fuzzy logic, and artificial intelligence featuring downloadable applications, source code, and links.
http://www.genewood.host.sk/
Fuzzy Logic - Webopedia.com
fuzzy logic Last modified Thursday, June 21, 2001. With fuzzy logic, propositionscan be represented with degrees of truthfulness and falsehood.
http://www.webopedia.com/TERM/f/fuzzy_logic.html

Extractions: Enter a keyword... ...or choose a 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 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.
Yuhui Shi
Researcher in Particle swarm optimization, fuzzy logic, evolutionary computation.
http://www.engr.iupui.edu/~shi
EUSFLAT HOMEPAGE HAS BEEN MOVED
EUropean Society for fuzzy logic And TechnologyCategory Computers Artificial Intelligence Fuzzy SocietiesEUSFLAT homepage has been moved. Click thislink http//viking.ibspan.waw.pl/eusflat.
http://decsai.ugr.es/eusflat/eusflat.html
Katt's Page
The online home of Katt the white tiger, a member of Tapestries and fuzzy logic MUCKs.
http://www.aaroncity.com/furry/
What Is Fuzzy Logic ?
What Is fuzzy logic ? fuzzy logic is a powerful problemsolving methodology witha myriad of applications in embedded control and information processing.
http://www.aptronix.com/fide/whatfuzzy.htm

Extractions: 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.
Telemedicine - Quality Healthcare Anytime Anywhere To Anyone
Theoretical discussion on telemedicine technology, future possibilities, health level 7, fuzzy logic, use of codes, use of smartcards in medical database management and cybersurgery.
http://www.geocities.com/sbbhattacharyya

Extractions: Once this page is fully loaded, it will take you to my profile page in exactly 60 seconds. You may have to reload the page if this does not occur automatically... Profile Summaries Details Updates Internet Time now is: your browser does not support Java so you cannot see the time :( About Myself My name is Dr. Suman Bhusan Bhattacharyya. I have done MBBS from India, and MBA in International Management from Belgium.Currently, I am now the Senior Clinical Analyst, iSOFT plc and am based in Chennai, India. I also hold an advanced diploma in hospital administration. I have got more than 5 years experience in hospital administration as medical administrator. I design business model architectures using UML. I know computer programming and have several diplomas in the same. My principal interests are in the field of medical informatics, especially telemedicine, besides evidence based medicine. Currently I am focusing on electronic patient medical records, medical datawarehousing, developing concepts on real-time medical data capturing and hospital management information systems. For the un-initiated...
Why Use Fuzzy Logic?
Why Use fuzzy logic? fuzzy logic reduces the design development cycle. With afuzzy logic design methodology some time consuming steps are eliminated.
http://www.aptronix.com/fide/whyfuzzy.htm

Extractions: Why Use Fuzzy Logic? 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. 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.
Fuzzy Logic Inc. - Website Services, Home Page
fuzzy logic Inc. 1999 2003 fuzzy logic Inc., Calgary, Alberta 403-283-9268info@fuzzylogic.ca Updated February 12, 2003 Posted February 8, 1999.
http://www.fuzzylogic.ca/
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
Attar Software Ltd
Data Mining, Knowledge Based Systems and the authors of XpertRule KBS software. Specialists in Expert Systems, Rule Induction and fuzzy logic.
http://www.attar.com/
Stefano Pizzuti's Home Page
ENEA, Italian agency for energy, new technologies and environment. Evolutionary computation, fuzzy logic, neural networks, chaos Theory and their application to energy related problems.
http://erg87067.casaccia.enea.it/stefano

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