© 2016

A Practical Introduction to Fuzzy Logic using LISP


  • 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


Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 327)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Luis Argüelles Méndez
    Pages 1-17
  3. Luis Argüelles Méndez
    Pages 19-48
  4. Luis Argüelles Méndez
    Pages 49-91
  5. Luis Argüelles Méndez
    Pages 93-127
  6. Luis Argüelles Méndez
    Pages 129-167
  7. Luis Argüelles Méndez
    Pages 169-228
  8. Luis Argüelles Méndez
    Pages 229-287
  9. Luis Argüelles Méndez
    Pages 289-346
  10. Back Matter
    Pages 347-370

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.


Crispy Sets Vs Fuzzy Sets Floating Singletons Fuzzy Control Fuzzy Models In Medicine Fuzzy Rule-Based Systems Fuzzylisp Functions Intelligent Models For Double Stars List Processing Membership Functions New Lisp Vs. Common Lisp

Authors and affiliations

  1. 1.European Centre for Soft Computing (ECSC)MieresSpain

Bibliographic information

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