Author: Philipp Limbourg
Publisher: Springer
Keywords: studies, computational, intelligence, approach, probabilistic, modelling, uncertainty, imprecise, dependability
Number of Pages: 140
Published: 2008-09-26
List price: $139.00
ISBN-10: 354069286X
ISBN-13: 9783540692867

Mechatronic design processes have become shorter and more parallelized, induced by growing time-to-market pressure. Methods that enable quantitative analysis in early design stages are required, should dependability analyses aim to influence the design. Due to the limited amount of data in this phase, the level of uncertainty is high and explicit modeling of these uncertainties becomes necessary.This work introduces new uncertainty-preserving dependability methods for early design stages. These include the propagation of uncertainty through dependability models, the activation of data from sim

Authors:T.Y. Lin, N. Cercone,
Publisher: Springer
Keywords: data, imprecise, analysis, mining, rough, sets
Number of Pages: 452
Published: 1996-11-30
List price: $169.00
ISBN-10: 0792398076
ISBN-13: 9780792398073

Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. The contributing authors consist of some of the leading scholars in the fields