This paper is concerned with the identification of nonlinear systems by utilizing of hybrid soft computing approaches. Based on the flexibly computational structure of the tree, a unified framework is constructed in which various soft computing models can be developed, evolved and evaluated. In this framework, the architecture of the hybrid soft computing models is created and evolved by using ...

Medical image mining is one of the most rewarding and challenging field of application in data mining and knowledge discovery. Soft computing is a consortium of methodologies that provides flexible information processing capability. Its aim is to exploit the tolerance for imprecision, uncertainty, approximate reasoning, and limited truth in order to achieve tractability, robustness, and low-cos...

This short note is devoted to introduce the discussion carried out along this special issue on the concept of Soft Computing by key researchers in the field. We shall stress some aspects of the conception and origins of Soft Computing, supported by the scientific relevance of its participants. The contributors will show their own view about a single question, What is Soft Computing?, covering a...