Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Uncertain Rule-Based Fuzzy Systems : Introduction and New Directions, 2nd Edition, Hardback Book

Uncertain Rule-Based Fuzzy Systems : Introduction and New Directions, 2nd Edition Hardback

Hardback

Description

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.

Information

Other Formats

Save 16%

£109.99

£91.39

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information