A Practical Introduction to Fuzzy Logic Using LISP A Practical Introduction to Fuzzy Logic Using LISP
Studies in Fuzziness and Soft Computing

A Practical Introduction to Fuzzy Logic Using LISP

    • 87,99 €
    • 87,99 €

Beschreibung des Verlags

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.

GENRE
Computer und Internet
ERSCHIENEN
2015
11. September
SPRACHE
EN
Englisch
UMFANG
385
Seiten
VERLAG
Springer International Publishing
ANBIETERINFO
Springer Science & Business Media LLC
GRÖSSE
5
 MB
How to Design Programs, second edition How to Design Programs, second edition
2018
Racket Programming the Fun Way Racket Programming the Fun Way
2021
A Primer on Scientific Programming with Python A Primer on Scientific Programming with Python
2014
Introduction to Computation Introduction to Computation
2022
Practical Aspects of Declarative Languages Practical Aspects of Declarative Languages
2017
Interpreting LISP Interpreting LISP
2017
Probabilistic Linguistic Two-Sided Matching Decision-Making Methods and Applications Probabilistic Linguistic Two-Sided Matching Decision-Making Methods and Applications
2025
Neutrosophic Paradigms: Advancements in Decision Making and Statistical Analysis Neutrosophic Paradigms: Advancements in Decision Making and Statistical Analysis
2025
Applied Type-3 Fuzzy Logic Systems and Controllers Applied Type-3 Fuzzy Logic Systems and Controllers
2025
Granularities-Driven Hesitant Fuzzy Linguistic Decision Making Granularities-Driven Hesitant Fuzzy Linguistic Decision Making
2024
A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics
2024
Fuzzy Cognitive Maps Fuzzy Cognitive Maps
2023