Uncertain Rule-Based Fuzzy Systems - Introduction and New Directions, 2nd Edition (Paperback, Softcover reprint of the original 2nd ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	July 2018
First published:	2017
Authors:	Jerry M. Mendel
Dimensions:	235 x 155 x 36mm (L x W x T)
Format:	Paperback
Pages:	684
Edition:	Softcover reprint of the original 2nd ed. 2017
ISBN-13:	978-3-319-84632-3
Languages:	English
Subtitles:	English
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-84632-9
Barcode:	9783319846323

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