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

FUZZY LOGIC TUTORIAL 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

82. Meteorological Applications Of Fuzzy Logic Cathy Kessinger, 2004 Applications of fuzzy logic Used at the NCAR Research Jim Murtha, 1995 Applications of fuzzy logic in operational meteorology, http://www.chebucto.ns.ca/Science/AIMET/applications/

Meteorological applications of fuzzy logic AMS journal articles Conference papers and technical notes ... Related reading AMS journal articles K. Aydin and J. Singh. 2004: Cloud Ice Crystal Classification Using a 95-GHz Polarimetric Radar. Journal of Atmospheric and Oceanic Technology: Vol. 21, No. 11, pp. 1679-1688. Robert Schafer, Susan K. Avery, Kenneth S. Gage, Paul E. Johnston and D. A. Carter. 2004: Improving Wind Profiler-Measured Winds Using Coplanar Spectral Averaging. Journal of Atmospheric and Oceanic Technology: Vol. 21, No. 11, pp. 1671-1678. Mueller, C., Saxen, T., Roberts, R., Wilson, J., Betancourt, T., Dettling, S., Oien, N., Yee, J NCAR Auto-Nowcast System. Weather and Forecasting: Vol. 18, No. 4, pp. 545-561. Tafferner, A., Hauf, T., Leifeld, C., Hafner, T., Leykauf, H., Voigt, U. 2003: ADWICE: Advanced Diagnosis and Warning System for Aircraft Icing Environments. Weather and Forecasting: Vol. 18, No. 2, pp. 184-203. Banks, Helene T., Bindoff, Nathaniel L. 2003: Comparison of Observed Temperature and Salinity Changes in the Indo-Pacific with Results from the Coupled Climate Model HadCM3: Processes and Mechanisms.

83. Home Page Of Giangiacomo Gerla (fuzzy Logic, Fuzzy Control, Multi-valued Logic, 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 Melillo 84084 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. DIDATTICA Scientific interests DOWNLOAD AREA My 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 ... Belohavek-comment Paradoxes G. Gerla, Why I have an extraterrestial ancestor (Paradoxes like "Heap paradox" in fuzzy set theory, paradox in relativity theory) F. Formato, G. Gerla

84. Fuzzy Logic And Musical Decisions Abstract This article presents some of the core concepts of fuzzy logic In fuzzy logic it is possible for items to have partial membership in a set. 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.

85. Fuzzy Logic Software: Type-2 Fuzzy Logic Software! Freeware! fuzzy logic software! Type2 fuzzy logic software will let you handle rule uncertainties using fuzzy memberships. http://sipi.usc.edu/~mendel/software/

Type-2 Fuzzy Logic Software Nilesh N. Karnik, Qilian Liang and Jerry M. Mendel mendel@sipi.usc.edu Type-2 Fuzzy Logic Report Software Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions Book Type-2 Fuzzy Logic Report Software Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions Book Type-2 Fuzzy Logic Report Software Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions Book W e are providing software (freeware) on-line so that you can immediately begin using type-2 fuzzy logic. It is in four sections: general type-2 fuzzy logic systems, interval type-2 fuzzy logic systems, type-1 fuzzy logic systems, and NEW type-reduction. This software is experimental in nature and is provided on an "as is" basis only. The University SPECIFICALLY DISCLAIMS ALL WARRANTIES INCLUDING, WITHOUT LIMITATION, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. B y accessing the software, you agree to abide by the conditions of the three numbered items. Select one of the following two choices. Selecting the first choice provides you with the software. Selecting the second choice sends you to the report page.

86. 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.)

87. Fuzzy Logic Book Introductory textbook on rulebased fuzzy logic systems, type-1 and type-2, that for the first time explains how fuzzy logic can MODEL a wide range of http://sipi.usc.edu/~mendel/book/

Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions Jerry M. Mendel University of Southern California, Los Angeles, CA An expanded and richer fuzzy logic Table of Contents for this Web Site From the Preface Organization of the Book Who Can Read the Book Ways in Which the Book Can be Used ... Detailed Table of Contents From the Preface Uncertainty is the fabric that makes life interesting. For millenia human beings have developed strategies to cope with lots of uncertainties, never absolutely sure what the consequences would be, but hopeful that the bad effects of those uncertainties could be minimized. This book presents a complete methodology for accomplishing this within the framework of fuzzy logic (FL). This is not the original FL, but is an expanded and richer FL, one that contains the original FL within it. The original FL, founded by Lotfi Zadeh, has been around for more than 35 years, as of the year 2000, and yet it is unable to handle uncertainties. By handle , I mean to model and minimize the effect of.

88. 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

89. PÁGINA DE FLAT EN PRUEBAS Spanish Association of fuzzy logic and Technologies http://decsai.ugr.es/flat/eflat.html

Asociacion FLAT Institut d'Investigacio en Intel.ligencia Artificial Campus de la Universitat Autonoma de Barcelona, 08193 Bellaterra Barcelona. Spain E-mail:jflat@iiia.csic.es tlf: 93-580 95 70 fax: 93-580 96 61 Spanish version of this page Father member of the International Fuzzy Systems Association (IFSA) Information about FLAT FLAT members Congress and conferences Spanish Research Groups ... Other interesting links This page has been visited by users

90. FANG Fuzzy Logic Page Technical University of Vienna fuzzy logic Mailing List. Send a mail with the following text in the body get fuzzymail info http://www.ie.ncsu.edu/fangroup/fuzzy.dir/indexfuzzy.html

FANGroup Fuzzy Logic Resources Frequently Asked Quetions (FAQ) and Tutorials FAQ: Fuzzy Logic and Fuzzy Expert Systems FAQ: Fuzzy Logic and Soft-computing Indexes and Repositories Yahoo: Fuzzy Logic Fuzzy Sets and Systems by Robert Fuller Other Sites and Resources Stuff Fuzzy Shower FuzzyCLIPS Books, Journals and Papers Fuzzy Sets and Systems Fuzzy Optimization and Decision Making Newsgroups Newsgroup: comp.ai.fuzzy Mailing Lists Technical University of Vienna Fuzzy Logic Mailing List. Send a mail with the following text in the body: get fuzzy-mail info to Fuzzy Logic Mailing List Back to NCSU OR IE FANG home page This home page is prepared by (almedagl@eos.ncsu.edu)

91. Matriks Bina Kontrol Sistemleri Doğru ve Erken Uyarı Ä°§in Milenyum Teknolojisi Detectomat Elektronik Adreslenebilir Interaktif Yangın Algılama ve Alarm Sistemi. T¼m saha cihazları Mikroişlemci kontrollu(Kendi kimlikleri var). Dedekt¶rler yapay zeka temelli(fuzzy logic) gelişmiş karar verme algoritmalarına sahip. Dedekt¶r algılar, analiz eder, kendisi karar verir. Hızlı ve Kolay kurulum nedeniyle ekonomik fiyatlar. Profesyonel ve Ekonomik ‡¶z¼mDetectomat. Alman Malı, 36 Ay Garanti, VdS, LPCB ve GOST Sertifikalı. Kaliteli ve Ekonomik œr¼nHizmet Arıyorsanız! http://www.matrikstr.com

Detectomat Elektronik Adreslenebilir Interaktif Yangýn Algýlama ve Alarm Sistemi. Airsense Stratos Aktif Hava Emmeli Çok Hassas Laser Tabanlý Duman Dedektörü. Automated Logic Bina Kontrol ve Otomasyon Sistemi. Otopark Otomasyon ve Trafik Sinyalizasyon Sistemi. ... Northern Computer Geçiþ Kontrol Sistemi. Mutlak müþteri memnuniyeti hedefiyle çalýþan, birikimli ve deneyimli kadromuzla, son teknoloji ürünler ve sistem çözümlerimiz ile, kalite ve standartlardan ödün vermeden kullanýcý dostu, etkin ve ekonomik çözümlerimizle hizmetinizdeyiz. Kullanýcýlara daha güvenli yapýlar sunan, hayatýný kolaylaþtýran ve konforunu arttýran, enerji, personel ve iþletme giderlerinde tasarruf saðlayan yangýn algýlama ve alarm sistemi, sesli tahliye sistemi, gazlý söndürme sistemi, geçiþ kontrol sistemi, kapalý devre televizyon sistemi, bina kontrol ve otomasyon sisteminde kalite sertifikalý teknolojik ürünlerimiz, uluslararasý standartlara ve yerel yönetmeliklere uygun projelendirme, mühendislik, yapý özellikleri ve yaþam biçimine uygun senaryolar dahilinde etkileþimli ve entegre çalýþan, modüler ve geniþleyebilir sistem çözümlerimiz ve uygulama hizmetlerimizle ile ihtiyaçlarýnýza ekonomik çözümler sunmaktayýz. Detectomat Elektronik Adreslenebilir Interaktif Yangýn Algýlama ve Alarm Sistemi.

92. CSISS Classics - Lotfi Zadeh: Fuzzy Logic-Incoporating Real-World Vagueness Professor Zadeh s paper on fuzzy sets introduced the concept of a class with unsharp boundaries and marked the beginning of a new direction by providing a http://www.csiss.org/classics/content/68

Lotfi Zadeh: Fuzzy logic-Incoporating Real-World Vagueness By Pragya Agarwal Back to Classics Background Fuzzy logic was first invented as a representation scheme and calculus for uncertain or vague notions. It is basically a multi-valued logic that allows more human-like interpretation and reasoning in machines by resolving intermediate categories between notations such as true/false, hot/cold etc used in Boolean logic. This was seen as an extension of the conventional Boolean Logic that was extended to handle the concept of partial truth or partial false rather than the absolute values and categories in Boolean logic. Philosophers such as Plato had posited the laws of thought and one of these thoughts was the Law of Excluded Middle . Parminedes proposed the first version of this rule around 400 B.C. and stated amidst controversy that statements could be both true and not true at the same time. The Greek Philosopher Plato laid the foundations for the fuzzy logic by proposing a third region between true and false where the two notions tumbled together. In the early 1900s, Lukasiewicz extended on to the conventional bi-valued logic of Aristotle and proposed a tri-valued logic in his paper in 1920 titled On three-valued logic The fuzzy set theory was introduced by Professor Lotfi Zadeh in 1965 and can be seen as an infinite- valued logic. Lotfi Zadeh is currently serving as a director of BISC (Berkeley Initiative in Soft Computing). Prior to 1965 Zadeh's work had been centered on system theory and decision analysis. Since then, his research interests have shifted to the theory of fuzzy sets and its applications to artificial intelligence, linguistics, logic, decision analysis, control theory, expert systems and neural networks. Currently, his research is focused on fuzzy logic, soft computing, computing with words, and the newly developed computational theory of perceptions and natural language.

93. JFS A development environment for JFL, combining features from traditional programming languages with fuzzy logic and machine learning. Freeware for Windows 95/98/NT and Linux. http://inet.uni2.dk/~jemor/jfs.htm

JFS Features Download History Changes version 2 ... Update from version 1 IMPORTANT 10-Jun-2004 I have stopped all development of JFS. The current version (version 2.01) is the final version. There will be no new versions and no fixes of errors. Jfs is a development environment for the programming language JFL. The environment includes tools to compile, run, improve and covert JFL programs. JFL is a special-purpose language used to write functions. It combines features from traditional programming languages like (C, Pascal, Basic etc) with fuzzy logic and machine learning. JFL is typical used for writing functions, where only informal descriptions exists (rule of thumbs, example values, etc). The syntax of a JFL program is close to the syntax of traditional programming languages (sample (non-fuzzy) jfl-program: idweight Jfs-programs can be written with a standard text editor. Most of the tools (compiler, runner etc) are command line tools. The Windows version of Jfs comes with a (not very) visual development environment ( Screen shot ), which is used to write the JFL programs, and run the tools.

94. Fuzzy Logic Byte Craft Limited has a long history of using fuzzy logic to great advantage in embedded systems. http://www.bytecraft.com/fuzzy.html

Fuzzy Logic Byte Craft Limited has a long history of using Fuzzy Logic to great advantage in embedded systems. The easiest way to describe Fuzzy Logic is as a tool that helps describe complex algorithms in an intuitive way. It helps you focus on what is important , in your own terms, about your program design problem. It helps you stay in the problem space rather than dwelling in the solution space Byte Craft Limited supports Fuzzy Logic in embedded systems with the Fuzzy Logic preprocessor. This tool interprets Fuzzy Logic directives within C source code, and generates the necessary programming to make Fuzzy Logic calculations within your program. This section gives some information on our support of fuzzy logic, and resources you can use. ACCU Paper Walter Banks presented a paper on Linguistic Variables at the 2003 ACCU conference. Read a copy of it here The paper refers to several source files: PRICING.fuz The fuzzy logic pricing example. PRICING.C The generated C code for PRICING.FUZ PID.FUZ

95. LUT Department Of Information Technology Department of Information Technology. Research areas focus on neural computing, pattern recognition, computer vision, molecular computing, telecommunication applications and technology, optimization, fuzzy logic, industrial statistics and quality control. http://www.it.lut.fi/index_eng.html

Research Research areas Projects Visits Conferences Study Instructions International studies WebOodi WebCT ... Courses DEPARTMENT OF INFORMATION TECHNOLOGY The degree program of Information Technology was started in 1985 and the Department of Information Technology was founded in 1987. The degree program gives comprehensive knowledge and practical skills, which are needed in product development and design in the IT industry. The main research areas of the Laboratory of Applied Mathematics are fuzzy systems, industrial mathematics and educational technology in mathematics. The main research fields of the Laboratory of Information Processing are machine vision, evolutionary algorithms and software engineering. The research of the Laboratory of Telecommunications is focused on communication networks, telecommunications software and content production. The most recent events: Case Study Seminar Tapahtumakalenteri Syyskuu 2005 Osmo Kalevan sumeat DY:t Tira+C: Torstai 14.4. Office: Secretary of the department, Eeva Urpalainen

96. Fuzzy Logic | This Headline Is (half) False | Economist.com In 1979, Dr Zadeh was the first to apply fuzzy logic to selfreferential sentences Rather than the infinite choices of fuzzy logic, or the two in binary http://www.economist.com/science/displayStory.cfm?story_id=2099851

97. IIC - Information Intelligence Corporation (IIC) provides advanced data analysis and system modelling software using fuzzy logic technology. The IIC fuzzy engine achieves greater accuracy and predicatability by a factor of 10% or greater over current data modelling applications. http://www.iicfuzzy.com

Today and in the future, companies that succeed will be those that know how to manage knowledge faster than competitors. It isn't a question of getting new information. It's the ability to extract information from your existing business, to see trends and insights faster than your competition. Louis V. Gerstner Jr., IBM Chairman and Chief Executive Officer Home Company Solutions News ... Privacy

98. Fuzzy Logic Tutorial A 6part tutorial on fuzzy logic covering sets, rule matrices, membership functions, A instructive paper on fuzzy logic (by Tung Tran and Ali Zomorodi). http://www.cs.cofc.edu/~manaris/ai-education-repository/fuzzy-tutorial.html

Go Home Fuzzy Logic This site is no longer being maintained. Sorry. OUTLINE TUTORIAL TOOLS RESOURCES ... SUBMIT Tutorials A 6-part tutorial on fuzzy logic covering sets, rule matrices, membership functions, etc. Also has some sample problems. A fuzzy tutorial with an explanation of fuzzy sets. A brief course in Fuzzy Logic. A instructive paper on fuzzy logic (by Tung Tran and Ali Zomorodi). A large archive of fuzzy logic tutorials. Submit Submit a tutorial on Fuzzy Logic. Last updated on Tuesday, April 13, 2004 04:06:50 PM. Suggestion Box visitors since April 8, 1999 (counter provided by LinkExchange

99. PocketAI Digital Mind Assistant This decision wizard turns your PDA into an artificial intelligence thinking machine using boolean and fuzzy logic. http://www.3dnetproductions.com/pocketai/index.htm

PocketAI Digital Mind Assistant for the Pocket PC User Group Updates Devices Testimonials ... Download Think fast! Think smart! Something is bugging your mind? Trying to make an important decision? PocketAI helps you decide... fast. This unique decision wizard turns your PDA into an artificial intelligence thinking machine using boolean and fuzzy logic . Now you have decision support useful in a variety of decision making situations such as personal decisions, business decisions, buying decisions, etc. PocketAI is a great decision problem solving tool. No more pen, paper, and headaches. Solving decision problems is easier and more fun with PocketAI. It surprisingly simplifies and accelerates decision making . Understand it. Use it. It will quickly become an essential decision making partner and a time saver. Use PocketAI and the power of your Pocket PC to complement your brain's own thinking ability. Decisively get to the bottom of your decision problems in no time. The application also has a random mode which randomly selects from your list of alternatives.

100. Fuzzy Logic Resources Its reference section provides additional resources on fuzzy logic. An archive of fuzzy logic system software may be found at ntia.its.bldrdoc.gov. http://www.cs.cofc.edu/~manaris/ai-education-repository/fuzzy-resources.html

Go Home Fuzzy Logic This site is no longer being maintained. Sorry. OUTLINE TUTORIAL TOOLS RESOURCES ... SUBMIT General Resources A nice repository for Fuzzy Logic and NeuroFuzzy applications. It contains free simulation software, tutorial, case studies, and product information (both in English and German). Dan Simon's Fuzzy Filtering on-line paper discusses the use of fuzzy logic for digital signal processing. Its reference section provides additional resources on Fuzzy Logic. An archive of fuzzy logic system software may be found at ntia.its.bldrdoc.gov . For information on the contents of the archive, see the index Another archive (this one in the UK) offers a large collection of links to both fuzzy logic software and other fuzzy logic archives. The Center for Fuzzy Logic, Robotics, and Intelligent Systems. Frequently Asked Questions on Fuzzy Logic. Various links on Fuzzy Sets and Systems (including the homepage of Lotfi A. Zadeh, the founder of fuzzy logic. A mail archive on Fuzzy Logic.

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