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Fuzzy Logic

Overview: Fuzzy logic is a superset of conventional (Boolean) logic that has been extended to handle the uncertainty in data. It was introduced by Dr. Lotfi Zadeh of UC/Berkeley in the 1960's as a means to model the uncertainty of natural language. Fuzzy logic is useful to processes like manufacturing because of its ability to handle situations that the traditional true/false logic can't adequately deal with. It lets a process specialist describe, in everyday language, how to control actions or make decisions without having to describe the complex behavior. See "Fuzzy Logic and Neural Networks - Practical Tools for Process Management" (PC AI May/June 1994, p. 17) for a clear and concise explanation of Fuzzy Logic.

Glossary Link - Fuzzy Logic

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Fuzzy Logic Information on the Internet
Applications for Fuzzy Logic An interesting list of applications in which fuzzy logic has played a role.
Applied research, workshops, consulting in the field of Fuzzy Logic Applied research for industries, workshops for engineers, teachers, students, and companies, consulting and management of industrial projects at the Fuzzy Logic Laboratorium Linz.
CMU AI Repository for Fuzzy Logic This site contains commercial fuzzy logic products and companies, documentation, bibliographies, FAQ, archives, mail servers, as well as other related information. 
Fuzzy Logic Fuzzy logic links - organizations, journals, research groups, books, etc.
Fuzzy Logic Archive Fuzzy Logic information includes fuzzy logic for beginners, tutorials, fuzzy logic basics, etc.
Fuzzy Logic FAQ Fuzzy Logic Frequently Asked Questions (FAQ). 
Fuzzy Logic FAQ What is fuzzy logic and how is it used, fuzzy expert systems, fuzzy numbers and arithmetic, and fuzzy state machines. Also, fuzzy BBS systems, mail-servers, ftp repositories, mailing lists, bibliography, journals and technical newsletters, professional organizations, vendors, research, and glossary. 
Fuzzy Logic Sources of Information  An individuals effort to maintain a list of good Fuzzy Logic sites. 
Fuzzy Technologies Division
Inform Software
An extended fuzzy logic Internet server containing application papers, technical notes, and information on Fuzzy Logic and NeuroFuzzy technologies. 
Index to Fuzzy Logic White Papers This paper indexes what the auther feels are the best papers on Fuzzy Logic. 
Quadralay's Fuzzy Logic Archive  Archive of fuzzy logic related information including basics, a brief cource, user group references, internation contacts and more. 
Resource on the Web A brief index to a number of subject sites including fuzzy logic, modeling and simulation, logic programming, AI, and so on.. 
Will's Technical Page A collection of articles and other technical resources for artificial intelligence (especially data mining and machine learning).
Yahoo - Computer Science: Artificial Intelligence: Fuzzy Logic Links to fuzzy logic related topics such as adaptive fuzzy control, fuzzy logic expert system shells, as well as other related topics such as fuzzy logic FAQ, user groups, and companies. 

Sponsors of PC AI - Fuzzy Logic Vendors
EXSYS software tools are used for building probabilistic, knowledge-based expert systems that use expertise to assist people in decision-making, in performing a wide variety of functions. (info@exsys.com) 
Providers of intelligent web tools, expert systems development tools, data mining, and prolog-based AI products for Windows and Macintosh. 
(lpa@cix.compulink.co.uk) 
Corporate information, press releases, product descriptions. 
PolyAnalyst incorporates algorithms for clustering, classification, prediction, modeling, and explanation are supplemented by interactive graphics, import data from any ODBC database, object-oriented GUI, and direct communication with data warehouses (IBM VW) and spreadsheets (Excel).

Other Fuzzy Logic Vendors
American Heuristics Corporation AHC is a technology transfer company that specializes in the research and development of advanced software technologies and their application to complex technical problems. 
(info@heuristics.com) 
Attar Software Ltd. The free XpertRule KBS download includes example fuzzy logic applications and a fully functional development copy, save inhibited. (info@attar.com)
Flexible Intelligence Group The primary objective of Flexible Intelligence Group, LLC. (FIG) is to design, develop, and market independent modules which may be used, in isolation or in combination with systems, to (a) provide computational intelligence to a system or (b) improve the computational intelligence of a system. At present, this requires the development of soft computing modules that integrates techniques such as fuzzy systems, evolutionary algorithms, neural networks, and chaos theory . 
info@flextool.com 
FuziWare Inc.  76177.2601@compuserve.com 
Fuzzy Technologies Division Inform Software Corporation The Fuzzy Technologies website contains application papers, technical notes, and information on Fuzzy Logic and NeuroFuzzy technologies.
hotline@inform-ac.com 
Gensym Corporate information, press releases, product descriptions. 
info@gensym.com; service@gensym.com; ftp.gensym.com (192.156.185.2)
Higher Level Systems Their product, Assistum, facilitates the capturing and reuse of knowledge for decision making. A demonstration is available for download at their site. 
Hyperlogic Corporate information on products and services. Demo. 
Intelligent Machines  imi@netcom.com 
Kemp-Carraway Heart Institute  Phone: (800)909-0809 
ORSI ORSI's products include ExAd, a graphical Expert System based on fuzzy logic. mkt@orsiweb.com 
Predictive Dynamix, Inc. Predictive Dynamix provides a comprehensive suite of software tools for commercial data mining applications
PWS Publishing  wilbur@pws.com 
RoboWiz Corporation  75253.3274@compuserve.com 
Sonalysts Inc. Corporate information, press releases, product descriptions. Developers of Fuzzy Query (TM), an ODBC-compliant database query and data analysis tool. 
Togai Infralogic Inc  Corporate information, press releases, product descriptions. Demo. 
 
Dynamic Search Engine References
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Article References
Making Computers Think Like People  Zadeh, L. (1984) I.E.E.E. Spectrum, 8/1984, pp. 26 
Fuzzy Associative Memories - The Art Of Fuzziness  Immarco, P. (1991) PC AI, 5(1), 52. 
Three Faces of Fuzziness  Schmuller, J. (1993) PC AI, 7(2), 14. 
Fuzzy Logic And Neural Networks  Fraleigh, S. (1994) PC AI, 8(3) , 16. 
Vendor's Forum: Fuzzy Decisions: Designing CubiCalc  Packert, B. (1994), PC AI, 8(3), 28-30 
Fuzzy Reasoning  Siler, W. (1995) PC AI, 9(2) , 22. 
Fuzziness In Real Estatre  Dilmore, G. (1995) PC AI, 9(2) , 32. 
Taming Complexity in Large-Scale Fuzzy Systems  Andrews, J. (1997) PC AI, 11(3) , 39. 
The New Face of Fuzzy Logic: A Close Shave with Occam's Razor Cox, E. (1999) PC AI, 13(3), 16
Fuzzy Logic in Knowledge Engineering: Effectively Articulating Rules Fonseca, D. (1999) PC AI, 13(4), 33
Striving for Imprecision: Fuzzy Knowledge Bases for Business Process Modeling Cox, E. (1999) PC AI, 13(4), 38
Coping with the Uncertainty Principle: Perdictive Project Risk Assessment and Risk Classification Using a Fuzzy Case-Based Reasoning System Cox, E. (1999) PC AI, 13(6), 37
Distributed Intelligence in the B2B Universe: Fuzzy and Neural Connections in Web-Centric Knowledge Management Cox, E. (2000) PC AI, 14(3), 16

Book References
Understanding Neural Networks, Vol 1 and 2  Caudill, Maureen and Charles Butler, MIT Press 
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Neural Networks and Fuzzy Systems  Kosko, B., (1992) Englewood Cliffs, NJ: Prentice Hall 
Fuzzy, Holographic, and Parallel Intelligence: The Sixth Generation Breakthrough  Soucek, B. (Ed) (1992) New York, NY: John Wiley & Sons, pps. 350. ISBN: 0-471-54772-7. 
The Fuzzy System Handbook  Cox, Earl, (1994) Academic Press Professional, ISBN 0-12-194270-8 
Fuzzy Think: The New Science of Fuzzy Logic  Kosko, B., (1994)ISBN 0-7-868802-1X, 
Fuzzy Logic a Practical Approach  McNeill, Martin and Ellen Thro., (1994) Academic Press Professional. 
Using Fuzzy Logic  Yan, J., Ryan, M., and Power, J. (1994) Englewood Cliffs, NJ: Prentice Hall 
Machine Learning: Neural Networks, Genetic Algorithms, and Fuzzy Systems  Adeli, H. and Hung, S. (1995) New York, NY: John Wiley & Sons Inc, pps. 211. ISBN: 0-471-01633-0. 
Theoretical Aspects of Fuzzy Control  Nguyen, H.T., Sugeno, M., Tong, R., and Yager, R.R. (Eds) (1995) New York, NY: John Wiley & Sons, pps. 359. ISBN: 0-471-02079-6. 
Fuzzy Logic Controll: Advances in Methodology  Bonivento, C. (Ed) (1998), pps. 280. ISBN: 98-10-23506-2. 
Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems Chen, G. and Tat Pham, T. (2000) Lewis Publishers, pps 344. ISBN 0849316588
New Approaches to Fuzzy Modeling and Control: Design and Analysis Margaliot, M. and Langholz, G. (2000) World Scientific Pub Co, pps 185. ISBN 9810243340
Fuzzy Learning and Applications Russo, M. and Jain, L. (2000) CRC Press LLC, pps 400. ISBN 0849322693

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