Overview
- Provides the readers with a practice-oriented reference guide to fuzzy logic
- Offers an historical perspective on Lisp, explaining its advantages as a modern computer language
- Makes the readers able to build simple to medium-complexity level fuzzy models using the Lisp programing language
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 327)
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Table of contents (8 chapters)
Keywords
About this book
This book makes use of the LISP programming language to provide readers with the necessary background to understand and use fuzzy logic to solve simple to medium-complexity real-world problems. It introduces the basics of LISP required to use a Fuzzy LISP programming toolbox, which was specifically implemented by the author to “teach” the theory behind fuzzy logic and at the same time equip readers to use their newly-acquired knowledge to build fuzzy models of increasing complexity. The book fills an important gap in the literature, providing readers with a practice-oriented reference guide to fuzzy logic that offers more complexity than popular books yet is more accessible than other mathematical treatises on the topic. As such, students in first-year university courses with a basic tertiary mathematical background and no previous experience with programming should be able to easily follow the content. The book is intended for students and professionals in the fields of computer science and engineering, as well as disciplines including astronomy, biology, medicine and earth sciences. Software developers may also benefit from this book, which is intended as both an introductory textbook and self-study reference guide to fuzzy logic and its applications. The complete set of functions that make up the Fuzzy LISP programming toolbox can be downloaded from a companion book’s website.
Authors and Affiliations
Bibliographic Information
Book Title: A Practical Introduction to Fuzzy Logic using LISP
Authors: Luis Argüelles Mendez
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-23186-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-23185-3Published: 23 September 2015
Softcover ISBN: 978-3-319-35983-0Published: 23 August 2016
eBook ISBN: 978-3-319-23186-0Published: 11 September 2015
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XV, 370
Number of Illustrations: 108 b/w illustrations, 1 illustrations in colour
Topics: Computational Intelligence, Control and Systems Theory, Artificial Intelligence, Astronomy, Observations and Techniques