The rapid growth of data and information confronting many in industry and business has created a need for extracting knowledge out of such data. Fuzzy logic is one of the techniques used within this area of computational and statistical tools. It has been a major commercial success, with many real-world applications including industrial control, medical and financial applications, and incorporation into consumer goods. Fuzzy sets generalise data and enable knowledge to be expressed as linguistic rules, giving a powerful and robust framework. This book discusses many existing applications and outlines the direction of future developments in fuzzy logic.
|Product dimensions:||6.85(w) x 9.84(h) x 0.87(d)|
Table of Contents
Partial table of contents:
Recent Developments in Fuzzy Logic and Intelligent Technologies (H. Zimmermann).
Knowledge from Data using fril and Fuzzy Methods (J. Baldwin).
Mission Management System for Multiple Autonomous Vehicles (N. Rayner and C. Harris).
A Fuzzy Data Browser in Fril (J. Baldwin & T. Martin).
Adaptive Fuzzy Systems for Modelling Static and Dynamic Processes (H. Bersini & V. Gorrini).
Customer Segmentation for Banks and Insurance Groups with Fuzzy Clustering Techniques (R. Weber).
Tuning of Fuzzy Controllers: Case Study in a Column Flotation Pilot Plant (M. Carvalho, et al.).
Fuzzy Sets and Community Transport (R. Jonh & S. Bennett).