Description: FREE SHIPPING UK WIDE Fuzzy Expert Systems and Fuzzy Reasoning by James J. Buckley, William Siler Coverage is accessible to practitioners and academic readers alike. * Features end-of-chapter problems with answers provided in an appendix. * Includes discussions of rule-based systems not available in any other book. * Includes problem sets and tutorial programs available on the Wiley ftp site. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description Coverage is accessible to practitioners and academic readers alike. * Features end-of-chapter problems with answers provided in an appendix. * Includes discussions of rule-based systems not available in any other book. * Includes problem sets and tutorial programs available on the Wiley ftp site. Back Cover The most advanced systems that can emulate human thought Fuzzy Expert Systems and Fuzzy Reasoning presents new, cutting-edge theories that enable programmers to emulate human thought processes to solve real-life problems. This text begins with an overview and comparison of current approaches, including rule-based and neural net systems that programmers have developed to solve real-world problems. Next, the authors introduce readers to three key concepts that considerably advance both the power and the speed of conventional expert systems: nonprocedural data-driven languages; fuzzy systems theory (fuzzy logic, fuzzy sets, fuzzy numbers); and a language that allows statements to be executed either sequentially or in parallel, as opposed to conventional one-statement-at-a-time languages that presently dominate programming. While providing a conceptual framework for fuzzy expert systems, the focus is on the development of skills for applications. In addition to the text, readers have access via an FTP site to the fuzzy expert system language FLOPS, which enables them to actually write and debug a fuzzy expert system. Moreover, tutorials and simplified examples help to show how abstract concepts of logic and reasoning are used for problem solving. Special features include: An introduction to fuzzy mathematics that anyone with an understanding of basic algebra can follow Question sets with answers accompanying each chapter ensure that readers can apply their new knowledge to develop their own fuzzy expert systems An FTP site with a complete demonstration version of a fuzzy expert system, Integrated Development Environment Fuzzy Expert Systems and Fuzzy Reasoning, with its expert presentation of both theory and application, is an excellent textbook for graduate and upper-level undergraduate students. In addition, this is essential reading for program designers and researchers in fuzzy sets, fuzzy logic, computer science, and artificial intelligence. Flap The most advanced systems that can emulate human thought Fuzzy Expert Systems and Fuzzy Reasoning presents new, cutting-edge theories that enable programmers to emulate human thought processes to solve real-life problems. This text begins with an overview and comparison of current approaches, including rule-based and neural net systems that programmers have developed to solve real-world problems. Next, the authors introduce readers to three key concepts that considerably advance both the power and the speed of conventional expert systems: nonprocedural data-driven languages; fuzzy systems theory (fuzzy logic, fuzzy sets, fuzzy numbers); and a language that allows statements to be executed either sequentially or in parallel, as opposed to conventional one-statement-at-a-time languages that presently dominate programming. While providing a conceptual framework for fuzzy expert systems, the focus is on the development of skills for applications. In addition to the text, readers have access via an FTP site to the fuzzy expert system language FLOPS, which enables them to actually write and debug a fuzzy expert system. Moreover, tutorials and simplified examples help to show how abstract concepts of logic and reasoning are used for problem solving. Special features include: * An introduction to fuzzy mathematics that anyone with an understanding of basic algebra can follow * Question sets with answers accompanying each chapter ensure that readers can apply their new knowledge to develop their own fuzzy expert systems * An FTP site with a complete demonstration version of a fuzzy expert system, Integrated Development Environment Fuzzy Expert Systems and Fuzzy Reasoning, with its expert presentation of both theory and application, is an excellent textbook for graduate and upper-level undergraduate students. In addition, this is essential reading for program designers and researchers in fuzzy sets, fuzzy logic, computer science, and artificial intelligence. Author Biography WILLIAM SILER, of Southern Dynamic Systems, Inc., is a former academician, having served as chairman of the Biomedical Computer Science program at SUNY Downstate Medical Center, and as professor and chairman of the Biomathematics Department at the University of Alabama at Birmingham. For the past forty years, he has been developing scientific software tools for general use. He is now Senior Scientist at the Kemp-Carraway Heart Institute at Birmingham, Alabama. JAMES J. BUCKLEY is Associate Professor of Mathematics at the University of Alabama in Birmingham. A prominent researcher in fuzzy mathematics, he has published over 200 papers and several books on the topic. Table of Contents Preface. 1 Introduction. 2 Rule-Based Systems: Overview. 3 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: I. 4 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: II. 5 Combining Uncertainties. 6 Inference in an Expert System I. 7 Inference in a Fuzzy Expert System II: Modification of Data and Truth Values. 8 Resolving Contradictions: Possibility and Necessity. 9 Expert System Shells and the Integrated Development Environment (IDE). 10 Simple Example Programs. 11 Running and Debugging Fuzzy Expert Systems I: Parallel Programs. 12 Running and Debugging Expert Systems II: Sequential Rule-Firing. 13 Solving "What?" Problems when the Answer is Expressed in Words. 14 Programs that Can Learn from Experience. 15 Running On-Line in Real-Time. Appendix. Answers. References. Index. Long Description The most advanced systems that can emulate human thought Fuzzy Expert Systems and Fuzzy Reasoning presents new, cutting-edge theories that enable programmers to emulate human thought processes to solve real-life problems. This text begins with an overview and comparison of current approaches, including rule-based and neural net systems that programmers have developed to solve real-world problems. Next, the authors introduce readers to three key concepts that considerably advance both the power and the speed of conventional expert systems: nonprocedural data-driven languages; fuzzy systems theory (fuzzy logic, fuzzy sets, fuzzy numbers); and a language that allows statements to be executed either sequentially or in parallel, as opposed to conventional one-statement-at-a-time languages that presently dominate programming. While providing a conceptual framework for fuzzy expert systems, the focus is on the development of skills for applications. In addition to the text, readers have access via an FTP site to the fuzzy expert system language FLOPS, which enables them to actually write and debug a fuzzy expert system. Moreover, tutorials and simplified examples help to show how abstract concepts of logic and reasoning are used for problem solving. Special features include: An introduction to fuzzy mathematics that anyone with an understanding of basic algebra can follow Question sets with answers accompanying each chapter ensure that readers can apply their new knowledge to develop their own fuzzy expert systems An FTP site with a complete demonstration version of a fuzzy expert system, Integrated Development Environment Fuzzy Expert Systems and Fuzzy Reasoning, with its expert presentation of both theory and application, is an excellent textbook for graduate and upper-level undergraduate students. In addition, this is essential reading for program designers and researchers in fuzzy sets, fuzzy logic, computer science, and artificial intelligence. Feature Fuzzy sets were for a long time not accepted by the AI community. Now they have become highly evolved and their techniques are well established. This book will teach the reader how to construct a fuzzy expert system to solve real-world problems. After a general discussion of expert systems, the basic fuzzy math required is presented first, requiring little more math background than high-school algebra. This book will fill a void in the market because although there are many books on expert systems, none devote more than a few pages to the notion of fuzzy sets and their applications in this domain. Therefore their use in this book is timely and should be well received. The book is designed as a text and has ample problems with solutions, a solutions manual and an accompanying program on our ftp site. Coverage is accessible to practitioners and academic readers alike. Details ISBN0471388599 Author William Siler Language English ISBN-10 0471388599 ISBN-13 9780471388593 Media Book Format Hardcover Subtitle Theory and Applications Place of Publication New York Country of Publication United States Alternative 9780471698500 Edition 1st Pages 424 Affiliation Department of Theology, Loyola College in Maryland Univ. of Alabama, B Short Title FUZZY EXPERT SYSTEMS & FUZZY R DOI 10.1604/9780471388593 UK Release Date 2005-01-18 AU Release Date 2004-12-01 NZ Release Date 2004-12-01 Publisher John Wiley & Sons Inc Year 2005 Publication Date 2005-01-18 Imprint Wiley-Interscience DEWEY 006.3 Illustrations Photos: 0 B&W, 0 Color; Drawings: 0 B&W, 0 Color Audience Professional & Vocational US Release Date 2005-01-18 We've got this At The Nile, if you're looking for it, we've got it. 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ISBN-13: 9780471388593
Book Title: Fuzzy Expert Systems and Fuzzy Reasoning
Number of Pages: 424 Pages
Language: English
Publication Name: Fuzzy Expert Systems and Fuzzy Reasoning
Publisher: John Wiley & Sons INC International Concepts
Publication Year: 2005
Subject: Computer Science
Item Height: 242 mm
Item Weight: 778 g
Type: Textbook
Author: William Siler, James J. Buckley
Item Width: 166 mm
Format: Hardcover
