Soft Methodology and Random Information Systems

2004
ISBN: 978-3-540-22264-4
Verlag: Springer Berlin Heidelberg

Buch, Englisch, Band 26, 761 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1153 g

Reihe: Advances in Intelligent and Soft Computing

The analysis of experimental data resulting from some underlying random process is a fundamental part of most scientific research. Probability Theory and Statistics have been developed as flexible tools for this analyis, and have been applied successfully in various fields such as Biology, Economics, Engineering, Medicine or Psychology. However, traditional techniques in Probability and Statistics were devised to model only a singe source of uncertainty, namely randomness. In many real-life problems randomness arises in conjunction with other sources, making the development of additional "softening" approaches essential. This book is a collection of papers presented at the 2nd International Conference on Soft Methods in Probability and Statistics (SMPS’2004) held in Oviedo, providing a comprehensive overview of the innovative new research taking place within this emerging field.

Zielgruppe

Research

Autoren/Hrsg.

Lopez-Diaz, Miguel Concepcion

Angeles Gil, Maria

Lawry, Jonathan

Grzegorzewski, Przemyslaw

Hryniewicz, Olgierd

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware SAP
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

I Keynote Papers.- II Soft Methodology and Probability.- III Soft Methodology and Statistics/OR.- IV Foundations of Soft Methodology with Stochastic Implications.- V Applications Combining Soft and Stochastic Methodologies.- Errata list.