81. Index.html.new fuzzy logic in Integrated Reasoning. FuzzyCLIPS. The FuzzyJ Toolkit is a set of Java(tm) classes that can be used to build fuzzy logic systems. http://ai.iit.nrc.ca/IR_public/fuzzy/

Fuzzy Logic in Integrated Reasoning FuzzyCLIPS FuzzyCLIPS is an extension of the CLIPS (C Language Integrated Production System) expert system shell from NASA. It has been widely distributed for a number of years. It enhances CLIPS by providing a fuzzy reasoning capability that is fully integrated with CLIPS facts and inference engine allowing one to represent and manipulate fuzzy facts and rules. FuzzyCLIPS can deal with exact, fuzzy (or inexact), and combined reasoning, allowing fuzzy and normal terms to be freely mixed in the rules and facts of an expert system. The system uses two basic inexact concepts, fuzziness and uncertainty. It has provided a useful environment for developing fuzzy applications but it does require significant effort to update and maintain as new versions of CLIPS are released. The current version is 6.10c. This release was due to the efforts of Dave Woodman. If there are interested parties who would like to take on the role of upgrading FuzzyCLIPS in a commercial venture please contact bob.orchard@nrc.ca

82. 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 LUT 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: Tapahtumakalenteri kesäkuu 2004 LISÄTENTTIKERROISTA Office: Secretary of the department, Eeva Urpalainen phone: (+358 5) 621 2801 fax: (+358 5) 621 2899 email: tite-toimisto@lut.fi

83. Fuzzy Logic In Environmental Sciences: A Bibliography fuzzy logic in Environmental Sciences A Bibliography. Here is a growing collection of references to environmental research that uses fuzzy logic. http://www.chebucto.ns.ca/Science/AIMET/fuzzy_environment/

Fuzzy Logic in Environmental Sciences: A Bibliography Here is a growing collection of references to environmental research that uses fuzzy logic . Researchers are listed alphabetically: A B C D ... Z Domains of interest include: Agriculture , climatology, earthquakes ecology environmental sciences fisheries , geography, geology hydrology meteorology mining , natural resources, oceanography petroleum pollution , risk analysis, and rivers+lakes If you know of work that fits in these categories, please write to us and we will add them. If you would like to be included in the list below, send us a note about yourself and your topics. We are preparing a chapter on fuzzy logic for a handbook in AI. The handbook is being assembled by AIRIES (Artificial Intelligence Research in Environmental Sciences). The book is intended to introduce environmental scientists to practical, state-of-the-art AI techniques. Many references were kindly given to us when we posted questions on newsgroups for the above-listed domains and on the met.ai newsgroup

84. 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 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. Compiled Jfs-programs can be executed: By the general (command line) run-program JFR. Loaded and run from C-programs (using the jfr_run-library).

85. Meteorological Applications Of Fuzzy Logic Meteorological applications of fuzzy logic. Click for articles. AMS journal articles about fuzzy logic based applications. Click for articles. http://www.chebucto.ns.ca/Science/AIMET/applications/

Meteorological applications of fuzzy logic Click for articles PowerPoint presentation (12 Megabytes) Rich Bankert, and Mike Hadjimichael, 1997-present: Fuzzy Logic in Environmental Sciences: An online bibliography, www.chebucto.ca/Science/AIMET/fuzzy_environment (note: Design paradigm for nowcasting, http://www.nws.noaa.gov/om/jm/sld025.htm). AMS journal articles about fuzzy logic based applications Click for articles Dr. Dobb's Related reading IEEE Transactions on Knowledge and Data Engineering , Vol. 13, No. 4, July/August 2001, pp. 554-570. The Fuzzy Systems Handbook (2nd Edition), AP Professional, Academic Press, San Diego, CA, 716 pp. Fuzzy Engineering , Prentice Hall. Fuzzy Sets, Fuzzy Logic and Fuzzy Systems. Selected papers of Lofti Zadeh. , World Scientific Publishing Company, 826 pp. Fuzzy Algorithms with Applications to Image Processing and Pattern Recognition , World Scientific pp. 225. Ming-Syan Chen, Jiawei Han, Philip S. Yu, 1996: Data Mining: An Overview from a Database Perspective, IEEE Transactions on Knowledge and Data Engineering, Vol. 8, No. 6, December 1996. Fuzzy Logic with Engineering Applications , McGraw-Hill, New York, 600 pp.

86. Fuzzy Logic Fuzzy-logic-based expert systems are being used at Argonne to monitor complex industrial......fuzzy logic. Document Number 354001 http://www.anl.gov/LabDB/Current/Ext/H354-text.001.html

Fuzzy Logic Document Number: Description Fuzzy-logic-based expert systems are being used at Argonne to monitor complex industrial processes to determine whether the process variables are within acceptable tolerances. If not, the expert system pinpoints the cause of the problem, identifies the fault, and prescribes corrective actions. Collaboration Argonne National Laboratory invites partnerships with industry. If you are interested in developing a partnership with Argonne, here are some things to consider: We can consult in the short term to help evaluate specific problems. Your company can own resulting intellectual property, ranging from total commercial control to an enabling nonexclusive license, depending on the degree of participation of each party. In limited cases, the government may share the cost of the work. Such partnerships typically are on a 50/50 basis, with the government matching the private investment. Where proprietary information is involved, the Laboratory can and will protect such information. For more information on this technology or to discuss business arrangements, contact the Office of Technology Transfer.

87. 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

88. Fuzzy Logic (Group 1) ·Introduction to fuzzy logic ·History ·Sets and Operations ·Applications ·Constraints ·Class Survey ·Quiz. http://www.dementia.org/~julied/logic/

Introduction to Fuzzy Logic History Sets and Operations Applications Introduction to Fuzzy Logic History Sets and Operations Applications ... Quiz

89. Konta.pl - Profesjonalne Konta I Serwery Wirtualne Online magazine of science and technology dedicated to control, signal and image processing, and fuzzy logic. Includes articles and Matlab sources. In Polish with some contributions in English. http://pcc.civ.pl/

Menu: home serwer mega serwer pro konto www ... kontakt Nasze serwisy: civ.pl konta.pl sitemap Przegl±darki: login domena civ.pl domena .pl Narzêdzia: webmail panel baza danych Nowe zabezpieczenia W dniu 20.04.2004 w pó¼nych godzinach nocnych mocno zmodyfikowana zosta³a konfiguracja zabezpieczeñ antyspamowych i antywirusowych. Powinno to ograniczyæ w znacz±cy sposób docieranie niechcianej kores... wiêcej Zmiany w obs³udze subdomen Wszystkich u¿ytkowników serwera mega informujemy, i¿ zmieni³ siê sposób obs³ugi i administracji subdomen oraz sposób logowania do panelu administracyjnego. Informacja o aktualnym sposobie obs³ugi subd... wiêcej Prace modernizacyjne W dniu 15.11.2003 (sobota) w godzinach nocnych, miêdzy 1.00 a 5.00 mog± wyst±piæ krótkotrwa³e przerwy w dostêpie do serwerów. Przerwy spowodowane bêd± pracami w zwi±zku z przygotowaniem do wymiany obe... wiêcej Konta.pl - dobre poznanie siê to po³owa sukcesu udanej wspó³pracy, dlatego zapraszamy wcze¶niej do zapoznania siê z nasz± firmow± witryn±, na której mo¿na znale¼æ m.in. informacje na temat: czym siê zajmujemy, historia, stan obecny, plany na przysz³o¶æ, referencje, formularz kontaktowy, adres, telefony, numer konta bankowego. civ.pl

90. Fuzzy, Complete Fuzzy Logic Package For The 8051 fuzzy logic LabPac This package has been put together at a discount for those interested in fuzzy logic applications using the 8051 family of microcontrollers. http://www.rigelcorp.com/fuzzy.htm

Your browser does not support script Fuzzy Logic LabPac This package has been put together at a discount for those interested in Fuzzy Logic applications using the 8051 family of microcontrollers. Detailed information on the hardware, software, and books may be found on the web site. The R-515JC is a six-layer board with separate VCC and Ground planes intended for demanding industrial applications. Ideal for data logging or mixed mode communications. This board is the newest in Rigel's expanding line of 8051 controllers. It's low cost and flexibility also make it ideal as a training platform. The R-515JC has four serial ports, one is a dedicated RS-232 port, one a synchronous serial port, and two which can be configured for RS-232 or RS-422 / RS-485. The R-515JC also has CAN, Controller Area Network with the physical layer on-board. rFLASH F uzzy L ogic A pplications S oftware H elper, is a code generator which creates a set of subroutines and tables in the MCS-51 assembly language to implement Fuzzy Logic Control applications. The user writes a Control Task Description File (CTDF) for the input to rFLASH. The CTDF consists of five types of statements: inputs, outputs, terms, rules, and options. No in-depth knowledge of fuzzy logic control is necessary. The CTDF may be written with any ASCII editor. rFLASH has minimal requirements of the computer's resources. A rFLASH Simulator is included. The rFLASH Simulator generates outputs from given inputs on the PC. The simulator may be used to test several inputs and fine-tune the terms or rules accordingly.

91. 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.

92. Aeon - The Radically Different OS Microkernel manages hardware, provides some services to core kernel, a Java Virtual Machine (JVM), to support fuzzy logic (claims first OS to do so), objectorientation, parallel and distributed processing. Open Source, GPL http://aeonproject.sourceforge.net/

The aeon Project Created On : 20 th Dec. 2001 Last updated : 10:12 PM 4 th May 2003 Mission Statement: To deliver a robust, reliable and evolving platform (in the form of an OS) for scientific research and the common man; providing out of the box support for fuzzy logic, object oriented paradigm, parallel and distributed processing. About aeon Project: Though the name 'aeon' was coined today (7:15 PM 20 th Dec. 2001), I ( V.Ganesh ) though of this project when I was in my 3rd semester at ISSC for Master's degree in Computer Science. Actually the word aeon (pronounced ee-on) means an immense time, an age or an indefinably long period of time. And I would like the 'aeon Project' to be out there for the people (specially scientists) for an aeon :). The specifications and ideas of the aeon project is very preliminary and currently are only my view. I don't want it to be like that and would like it to be an amalgamation of ideas from various minds and brains (of course if they are different ;)). In fact I want to replace all I's with We's as soon as possible... So all those interested please take some pain in reading a bit more about my current ideas and get involved... Detailed overview of the aeon Project: aeon as an OS will be built around a micro kernel architecture (*). The micro kernel will basically manage the core H/W which will provide certain services to the core kernel. The core kernel will be a Virtual Machine built around the Java (TM) Virtual Machine (JVM) specifications. The Virtual Machine will provide the services of object oriented paradigm, parallel and distributed processing and fuzzy logic support.

93. 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.

94. 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

95. Fuzzy Sets And Fuzzy Logic Fuzzy Sets and fuzzy logic. Brian T. Luke, Ph.D. ( btluke@aol.com) LearningFromTheWeb.net This section contains an overview of Fuzzy Sets and fuzzy logic. http://members.aol.com/btluke/fuzzy01.htm

Fuzzy Sets and Fuzzy Logic Brian T. Luke, Ph.D. ( btluke@aol.com LearningFromTheWeb.net This section contains an overview of Fuzzy Sets and Fuzzy Logic. This information is taken from Fuzzy Sets and Fuzzy Logic: Theory and Applications , George J. Klir and Bo Yuan, Prentice Hall, NJ (1995) Given three fuzzy sets (A, B, C), they each have associated membership functions (Ma, Mb, Mc). Since there is no ambiguity, A can be interchanged with Ma, B with Mb, and C with Mc. Therefore, throughout this text, A represents both a fuzzy set and its associated membership function. If x is the parameter or value that determines which set(s) the data belongs to, the membership functions can be written as A(x), B(x), and C(x). An alpha-cut of the membership function A (denoted aA) is the set of all x such that A(x) is greater than or equal to alpha (a). Similarly, a strong alpha-cut (denoted a+A) is the set of all x such that A(x) is strictly greater than alpha (a). Mathematically, "That is, the alpha-cut (or the strong alpha-cut) of a fuzzy set A is the crips set aA (or the crisp set a+A) that contains all the elements of the universal set X whose membership grades in A are greater than or equal to (or only greater than) the specified value of alpha." aA and a+A are crisp sets because a particular value x either is or isn't in the set; there is no partial membership.

96. 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 History User Group Updates Devices ... 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 a decision helper 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. Testimonials "Both useful and interesting."

97. Www-isis.ecs.soton.ac.uk/research/nfinfo/fzsware.html BISCSIG-ESD Call For Paper JOURNAL OF SOFT COMPUTING SPECIAL ISSUE fuzzy logic AND THE INTERNET. Welcome to. The BISC Special Interest Group on fuzzy logic and the Internet. http://www-isis.ecs.soton.ac.uk/research/nfinfo/fzsware.html

98. Max-FORTH Glossary Documentation with all Forth words indexed, defined; in text and PDF. V3.5E is for F68HC11, has words for EEPROM. V5.0 is for 68HC12, has words for fuzzy logic instructions, flash memory; maximally modeled after v3.5E. http://www.ee.ualberta.ca/~rchapman/MFwebsite/V50/Alphabetical/Brief/

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99. BISC Program; Soft Computing Department. Fuzzy Set 1965 Â fuzzy logic 1973 Â BISC 1990 Â HumanMachine Perception 2000 - Â . Welcome to the BISC Program. http://www.cs.berkeley.edu/~zadeh/

BISC The Berkeley Initiative in Soft Computing Electrical Engineering and Computer Sciences Department Fuzzy Set: 1965  Fuzzy Logic: 1973  BISC: 1990  Human-Machine Perception: 2000 -  Welcome to the BISC Program The basic ideas underlying soft computing in its current incarnation have links to many earlier influences, among them Prof. Zadeh’s 1965 paper on fuzzy sets; the 1973 paper on the analysis of complex systems and decision processes; and the 1979 report (1981 paper) on possibility theory and soft data analysis. 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).

100. 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 http://www.whatis.com/definition/0,,sid9_gci212172,00.html

Search our IT-specific encyclopedia for: or jump to a topic: Choose a topic... CIO CRM Databases Domino Enterprise Linux Exchange IBM S/390 IBM AS/400 Mobile Computing Networking Oracle SAP Security Storage Visual Basic Web Services Windows 2000 Advanced Search 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."

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