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         Fuzzy Logic:     more books (100)
  1. Fuzzy Logic Control: Advances in Applications
  2. Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms: IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, August 9 - 10, 1994. ... / Lecture Notes in Artificial Intelligence)
  3. Advanced Fuzzy Logic Technologies in Industrial Applications (Advances in Industrial Control)
  4. Integration of Fuzzy Logic and Chaos Theory (Studies in Fuzziness and Soft Computing)
  5. Fuzzy Logic Applications in Engineering Science (Intelligent Systems, Control and Automation: Science and Engineering) by J. Harris, 2010-11-02
  6. Fuzzy Relational Systems: Foundations and Principles (IFSR International Series on Systems Science and Engineering) by Radim Belohlávek, 2002-06-30
  7. Fuzzy Sets, Fuzzy Logic, Applications (Advances in Fuzzy Systems: Application and Theory) by George Bojadziev, Maria Bojadziev, 1996-03
  8. Fuzzy Systems Theory and Its Applications
  9. Fuzzy Mathematics in Economics and Engineering by James J. Buckley, Esfandiar Eslami, et all 2002-04-08
  10. Fuzzy Logic and Neuro Fuzzy Applications Explained (Bk/Disk) by Constantin Von Altrock, 1995-04-17
  11. Design and Development of Fuzzy-Logic Controllers by Byron Miller, 1997-09
  12. Neural Cell Behavior and Fuzzy Logic by Uziel Sandler, 2009-12-28
  13. C++ Neural Networks and Fuzzy Logic/Book and Disk by Valluru B. Rao, Hayagriva V. Rao, 1993-11
  14. C++ Neural Networks and Fuzzy Logic by Valluru Rao, Hy Rao, 2003-03-14

61. HABES - Harmful Algal Blooms Expert System
EU Fifth Framework project providing an expert system and knowledge base on harmful algal blooms.
http://www.habes.net/about/fuzzy_logic.htm
ABOUT HABES
Fuzzy-Logic
The concept of 'fuzzy logic' was already introduced in 1965 as an extension of Boolean logic. Within fuzzy logic, the extent to which and element is considered to fulfil a certain criterion is not restricted to 'true' or 'false', but can be characterised by a value between zero (zero percent = completely 'false') and one (one hundred percent = completely 'true'). This can be addressed with, for example, qualitative classes as 'low', 'middle' or 'high'. Due to the 'fuzzy' nature of the classes, a parameter such as maximum value of surface temperature does not have to be classified as 'low' or 'middle' or 'high', but can, for example, fulfil the criteria 'low' and 'middle' by 50 percent each. In the next step, logical connections are made. An example is the deduction that:
IF wind velocity = low
AND surface temperature = high
THEN stability of the water column = high It is therefore necessary that the relevant processes and links among these processes be known, at least to a qualitative (semi-quantitative) extent. If a quantitative output is required, the fuzzy' results can also be re-translated into numerical values.

62. BibSonomy::user::renard::Fuzzy_Logic
Webapplikation des Fachgebiets Wissensverarbeitung, Universität Kassel.
http://www.bibsonomy.org/user/renard/Fuzzy_Logic
BibSonomy user renard
tag user group author concept BibTeX key search:all search:renard cssdropdown.startchrome("path"); A blue social bookmark and publication sharing system. tags relations groups popular ... about username: password: myFriends myRelations mySearch myPDF ... register cssdropdown.startchrome("upper_menu"); cssdropdown.startchrome("lower_menu");
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63. Mathtools.net : MATLAB/Fuzzy Logic
Listing of MATLAB and Simulink fuzzy logic related links, tools , and resources.
http://www.mathtools.net/MATLAB/Fuzzy_Logic/index.html
Link Exchange for the Technical Computing Community Hosted by The MathWorks
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MathWorks - Fuzzy Logic Toolbox
Update Link / Bad Link? The Fuzzy Logic Toolbox features a simple point-and-click interface that guides you effortlessly through the steps of fuzzy design, from setup to diagnosis. It provides built-in support for the latest fuzzy logic methods, such as fuzzy clustering and adaptive neuro-fuzzy learning. The Toolbox's interactive graphics let you instantly visualize and fine tune system behavior. Submitted Jul 02, 1999
Updated Apr 30, 2004
Rating: (14 Ratings) Rate this link Total Visits: 2841
Neuro-fuzzy MATLAB software
Update Link / Bad Link? MATLAB software tool for Neuro-Fuzzy identification and data analysis. Submitted Feb 26, 2001
Updated May 10, 2005

64. Fuzzy Logic - Scholarpedia
Retrieved from http//www.scholarpedia.org/article/fuzzy_logic . Categories Fuzzy Systems Computational Intelligence Logic
http://www.scholarpedia.org/article/Fuzzy_logic
Fuzzy logic
From Scholarpedia
This revision has not been approved by curators yet; It may contain inaccuracies. Curator: Dr. Lotfi A. Zadeh, University of California, Berkeley, CA, USA
Humans have a remarkable capability to reason and make decisions in an environment of uncertainty, imprecision, incompleteness of information, and partiality of knowledge, truth and class membership. The principal objective of fuzzy logic is formalization/mechanization of this capability.
Contents
  • Four Principal Facets edit
    Four Principal Facets
    Figure 1: Principal facets of Fuzzy Logic (FL). The core of FL is Graduation/Granulation, G/G. There are many misconceptions about fuzzy logic. To begin with, fuzzy logic is not fuzzy. In large measure, fuzzy logic is precise. Another source of confusion is the duality of meaning of fuzzy logic. In a narrow sense, fuzzy logic is a logical system. But in much broader sense which is in dominant use today, fuzzy logic, or FL for short, is much more than a logical system. More specifically, fuzzy logic has many facets (Figure ). There are four principal facets:

65. Biker.ie : Irish Biker's Discussion Forum
fuzzy_logic fuzzy_logic is offline. Wobbling Fledgling. Biker.ie Member No. 7808. 4 posts since Jan 2008 . Originally Posted by fuzzy_logic View Post
http://www.biker.ie/forum/showthread.php?t=31870

66. Fuzzy Logic - GICLWiki
to develop both the brain and the action tree in order to ensure an accurate final product. Retrieved from http//gicl.cs.drexel.edu/wiki/fuzzy_logic
http://gicl.cs.drexel.edu/wiki/Fuzzy_Logic
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Fuzzy Logic
From GICLWiki
Jump to: navigation search Fuzzy Logic is a term that is used in twodifferent senses, a narrow sense and a broad sense. The Narrow sense is a logical system that generalizes classic binary, true and false or zero and one, logic into uncertainty. The broad sense of the term is all the technologies that employ classes with unsharp boundaries, or fuzzy sets. Fuzzy sets can be best represented as a real world problem. If a person were to mathematically represent what "room temperature" is it would be expressed as an interval between two numbers, say from 68 degrees to 75 degrees. This would result in a hard-edged line between what is room temperature and what is not. However, in the human interpretation of room temperature, there is a gradation between not room temperature and room temperature. So certain temperatures would be considered to be around room temperature. A fuzzy set allows for this by having gradated boundaries rather than harsh boundaries. This can be represented on a graph by a line sloping up from the value of 0(false) to 1(true) over a period of time before 68 remaining at 1(true) from 68 to 75 and the sloping back down from 1(true) to 0(false) for another set of numbers. Examples of Fuzzy Logic AI used for motion pictures includes Massive Software which was used in the Lord of the Rings Movies as well as The Chronicles of Narnia
Contents

67. Expert Systems/Fuzzy Logic - Wikibooks, Collection Of Open-content Textbooks
Retrieved from http//en.wikibooks.org/wiki/Expert_Systems/fuzzy_logic . Subjects Expert Systems Pages needing attention
http://en.wikibooks.org/wiki/Expert_Systems/Fuzzy_Logic
Expert Systems/Fuzzy Logic
From Wikibooks, the open-content textbooks collection
Expert Systems Jump to: navigation search Expert Systems
recently imported from wikipedia, needs to be formatted Please edit this module to improve it. See this module's talk page for discussion. The original text of this page was adapted from Wikipedia
Contents
edit About Fuzzy Logic
Wikipedia has related information at Fuzzy logic
Fuzzy logic
is derived from fuzzy set theory dealing with reasoning that is approximate rather than precisely deduced from classical predicate logic . It can be thought of as the application side of fuzzy set theory dealing with well thought out real world expert values for a complex problem (Klir 1997). Degrees of truth are often confused with probabilities . However, they are conceptually distinct; fuzzy truth represents membership in vaguely defined sets, not likelihood of some event or condition. For example, if a 100-ml glass contains 30 ml of water, then, for two fuzzy sets, Empty and Full, one might define the glass as being 0.7 empty and 0.3 full. Note that the concept of emptiness would be subjective and thus would depend on the observer or designer. Another designer might equally well design a set membership function where the glass would be considered full for all values down to 50 ml. A probabilistic setting would first define a scalar variable for the fullness of the glass, and second, conditional distributions describing the probability that someone would call the glass full given a specific fullness level. Note that the conditioning can be achieved by having a specific observer that randomly selects the label for the glass, a distribution over deterministic observers, or both. While fuzzy logic avoids talking about randomness in this context, this simplification at the same time obscures what is exactly meant by the statement the 'glass is 0.3 full'.

68. Http//www.comparative.us/ Http//www.comparative.us/2000/ Http
http//www.comparative.us/fuzzy_logic/answers.htm http//www.comparative. us/fuzzy_logic/blogs.htm http//www.comparative.us/fuzzy_logic/encyclopedia.htm
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69. Qudata.com - Abstracts For Fuzzy Logic
Library of references on PDF and PS articles for Fuzzy Logic. Information resources for statistics, data mining, neural networks, genetic algorithms,
http://qudata.com/lib/fuzzy_logic/
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Fuzzy Logic
  • Intelligent systems for money laundering prevention Editor: Timon Molloy
    Money Laundering Bulletin Increasingly, Intelligent System software techniques are being incorporated into money laundering prevention systems. Such techniques allow automated systems to perform analysis and consider behaviours in more human and flexible ways. Intelligent systems apply a broad range of methods developed by the artificial intelligence and computer science research communities. These techniques have been applied to identify credit card fraud, insurance claims fraud, insider dealing, and money laundering and are also used in areas such as risk management, audit, marketing and customer relationship management (CRM). In the final part of a series of three articles Tony Wicks of Searchspace introduces important properties of intelligent systems and gives an overview of a number of techniques. The article then describes how such techniques can be best applied for money laundering prevention. Full-text: PDF Adaptive Fuzzy Control: Experiments and Comparative Analyses Authors: Ra´ul Ord Ünez, Jon Zumberge, Jeffrey T. Spooner, and Kevin M. Passino, Senior Member, IEEE
  • 70. BBspot - Fuzzy Logic Archives
    Satire for Smart People Click Here About BBlog BBloopers BBoard Video BBshop Archives. Poll Favorite Fake D D? Features
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    71. 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.
    http://www.webopedia.com/TERM/F/fuzzy_logic.html
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    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.

    72. Fuzzy Logic | Byte Craft Limited
    Byte Craft Limited s compilers support SPECIAL memory userdeclared memory blocks accessed (read and written) by software. The compiler manages allocation
    http://www.bytecraft.com/Fuzzy_Logic
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    Something SPECIAL: put variables anywhere
    MPC tips Byte Craft Limited's compilers support SPECIAL memory: user-declared memory blocks accessed (read and written) by software. The compiler manages allocation for SPECIAL memory similarly to system RAM and ROM. The result is a seamless integration of off-chip or on-chip memory resources into C language programs. read more
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    73. ::NESLUŽBENI FORUM UNIZD:: ~ Search
    NESLUŽBENI FORUM UNIZD Forum Index FAQ Pretraživanje lanovi Korisni ke grupe Log in Registriraj se. Information. Information
    http://www.unizd-forum.com/search.php?search_author=FuZZy_Logic&sid=fbac78ca5d3d

    74. Fuzzy Logic
    Fuzzy Logic was founded by Wisconsin poet R. Virgil (Ron) Ellis in 1995 in order to explore the multimedia dimensions of poetry. Text, music, and at times
    http://www.poetrvellis.com/fuzzy_logic.htm
    Fuzzy Logic
    Fuzzy Logic was founded by Wisconsin poet R. Virgil (Ron) Ellis in 1995 in order to explore the multimedia dimensions of poetry. Text, music, and at times video are fused in exciting, sometimes strange, ways that propel audiences to fresh insights. Biff Blumfumgagnge contributes arcane and uncanny musical resources in relation to this poetry. An accomplished violinist, Biff also works with samplers, treated guitar, balalaika, theremin-violin, synth-mandolin and peculiar combinations of percussion and recorded sounds. After world tours with Willy Porter and Adrian Belew and gigs from Turkey to Italy, Blumfumgagnge was awarded "1998 Best Instrumentalist-Strings" by the Wisconsin Area Music Industry (WAMI). He currently appears in the Reptile Palace Orchestra , the Gomers, Jambeau, Fuzzy Logic and Yammer (formerly Swamp Thing ). Keep up with Biff at http://beeftone.com Tom Hamer , drums and percussion. Tom has performed on stages around the Madison, WI area with various rock and new music groups including Vortex Zonk Dangerous Odds , T ap-It Dance and Theatrical Co The Romulans and Station Wagon . He plays a mix of drum set and MIDI electronics, various 'found' objects and little instuments. Other performance-related activities include sound design for theater (notably 6 seasons for the Madison Rep), live sound mixing, recording and CD mastering. He currently provides the rhythms for

    75. Problem Playing Hearts Of Iron 2: Doomsday In Wine/cedega - Ubuntu Forums
    fuzzy_logic fuzzy_logic is offline. First Cup of Ubuntu. Join Date Jun 2007. Beans 2 Last edited by fuzzy_logic August 5th, 2007 at 0839 PM.
    http://ubuntuforums.org/showthread.php?t=515701

    76. Fuzzy Logic Software
    Majestic Waterfalls features three unique soothing waterfall scenes with high quality video animation and stereo sound. Darn! Passwords! 3.1.03.41
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    AIPL WarmTone v2.2
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    Search result: programs found: DataPipe 3.6 (crystalsoftware.com.au) data in ANY table. You can correct capitalization in people' s names (a solution to the old problem), standardize formatting of addresses (eg PO Box, P.O. Box, POBOX), extract email addresses (for your next CRM campaign), search and replace using advanced pattern matching, fuzzy
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    IMS Telephone On-Hold Player 3.05 (nch.com.au) ~ Almost unlimited message and music capacity. ~ State-of-the-art ' fuzzy logic
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    77. Open Site - Science: Mathematics: Logic: Fuzzy Logic
    Open Encyclopedia article.
    http://open-site.org/Science/Mathematics/Logic/Fuzzy_Logic
    Enter your search terms Submit search form Web open-site.org
    • home log in apply to edit help ... Logic : Fuzzy Logic
      Fuzzy Logic is a superset of Boolean, or classical, logic dealing with the concept of partial truth. While in Boolean logic everything can be expressed in binary terms (0 or 1, on or off, yes or no), fuzzy logic replaces classical truth values with degrees of truth that range between and 1.
      Historical notes
      The subject was introduced by Lotfi Zadeh in the 1960s, and has been rather controversial since then. It is widely accepted within the engineering and computer science communities but generally rejected by mathematicians, a majority of which does not consider it a legitimate field of logic.
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    78. Citation For Fuzzy Logic
    05 March 2008 http//www.iscid.org/encyclopedia/fuzzy_logic . Site Maps Most Recent Clusters Browse New Graduate Student Job Opportunity
    http://www.iscid.org/encyclopedia/cite/Fuzzy_Logic
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    APA Citation Fuzzy Logic. ( ISCID Encyclopedia of Science and Philosophy . Retrieved March 31, 2008 from http://www.iscid.org/encyclopedia/Fuzzy_Logic MLA Citation " Fuzzy Logic ." ISCID Encyclopedia of Science and Philosophy . International Society for Complexity, Information, and Design. 31 March 2008 http://www.iscid.org/encyclopedia/Fuzzy_Logic
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    79. Covenant Forum | Covenant Live | US Tour Dates
    fuzzy_logic fuzzy_logic ist weiblich Eroberer Dabei seit 13.06.2003 10.08.2006 0950, fuzzy_logic ist offline Beiträge von fuzzy_logic suchen Nehmen
    http://covenant-forum.net/wbb2/thread.php?postid=58317

    80. /wuhan - WordPress Themes - Trac
    branches 87, 2 years, matt Adding fuzzy_logic. tags 87, 2 years, matt Adding fuzzy_logic. trunk 92, 2 years, fuzzy_logic
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