Springer Handbook of Computational Intelligence

The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts:  foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

Table of Contents

Chapter 1 Introduction
Chapter 2 Many-Valued and Fuzzy Logics
Chapter 3 Possibility Theory and Its Applications:? Where Do We Stand?
Chapter 4 Aggregation Functions on [0,1]
Chapter 5 Monotone Measures-Based Integrals
Chapter 6 The Origin of Fuzzy Extensions
Chapter 7 F-Transform