Introduction

Computational Intelligence (CI) is a rapidly expanding research field that encompasses fuzzy systems, neural networks, classification, machine learning and evolutionary computation. CI research is being carried out by an increasingly large number of engineers, scientists and mathematicians and also a growing number of companies are employing CI techniques on learning problems for data analysis.

Recently, there have been successful developments in combining different CI techniques, and conventional methods, to build hybrid intelligent systems. These include smart adaptive systems that allow the achievement of stability in spite of changes that are either external or internal to the system, thereby increasing the re-usability of developed systems. These also include combine fuzzy systems with qualitative reasoning, which can perform fuzzy qualitative reasoning, or fuzzy qualitative system identification.

The aim of this workshop is to provide a forum for the academic community and industry to share ideas about developing and using CI techniques and to exchange views and ideas.

The informal setting is designed to encourage a lively atmosphere for discussing future research problems and for forging new contacts and collaborations.

The workshop will include presentations of submitted papers and invited lectures by eminent CI researchers.

It has been deliberately set as a low-cost event, so that young researchers in academia and industry may actively participate as well as established workers in the field.