Synergies of Soft Computing and Statistics for Intelligent Data Analysis

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kruse, Rudolf (Editor), Berthold, Michael R. (Editor), Moewes, Christian (Editor), Gil, María Ángeles (Editor), Grzegorzewski, Przemysław (Editor), Hryniewicz, Olgierd (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Advances in Intelligent Systems and Computing, 190
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

In recent years there has been a growing interest to extend classical methods for data analysis. The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance. Such extensions of classical probability theory and statistics are useful in many real-life situat...

Table of Contents:

• PART I Invited Papers
• PART II Foundations
• PART III Statistical Methods
• PART IV Mathematical Aspects
• PART V Engineering.