Uncertain Rule-Based Fuzzy Systems

Introduction and New Directions, 2nd Edition

Nonfiction, Science & Nature, Technology, Telecommunications, Computers, Advanced Computing, Artificial Intelligence
Cover of the book Uncertain Rule-Based Fuzzy Systems by Jerry M. Mendel, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jerry M. Mendel ISBN: 9783319513706
Publisher: Springer International Publishing Publication: May 17, 2017
Imprint: Springer Language: English
Author: Jerry M. Mendel
ISBN: 9783319513706
Publisher: Springer International Publishing
Publication: May 17, 2017
Imprint: Springer
Language: English

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.

More books from Springer International Publishing

Cover of the book Surveys in Differential-Algebraic Equations III by Jerry M. Mendel
Cover of the book Literature and the Global Contemporary by Jerry M. Mendel
Cover of the book Secularisms in a Postsecular Age? by Jerry M. Mendel
Cover of the book PDE Models for Multi-Agent Phenomena by Jerry M. Mendel
Cover of the book Modern Digital Radio Communication Signals and Systems by Jerry M. Mendel
Cover of the book Photoptics 2015 by Jerry M. Mendel
Cover of the book Risk Theory by Jerry M. Mendel
Cover of the book Information Systems Security and Privacy by Jerry M. Mendel
Cover of the book Clinical Handbook of Insomnia by Jerry M. Mendel
Cover of the book Computer and Information Science by Jerry M. Mendel
Cover of the book Outcomes Based Funding and Race in Higher Education by Jerry M. Mendel
Cover of the book A Project-Based Introduction to Computational Statics by Jerry M. Mendel
Cover of the book Policy Agendas in Australia by Jerry M. Mendel
Cover of the book Thinking Skills for the Digital Generation by Jerry M. Mendel
Cover of the book Distributed Creativity by Jerry M. Mendel
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy