Grade Models and Methods for Data Analysis: With Applications for the Analysis of Data Populations (Studies in Fuzziness and Soft Computing)

Teresa Kowalczyk; Elzbieta Pleszczynska; Frederick Ruland (editors)

ISBN 10: 3540211209 / ISBN 13: 9783540211204

Published by Springer, U.S.A., 2004

About this Item

Ex-library with the usual features. The interior is clean and tight. First title page has a small tear at upper edge. Binding and cover are good. 477 pages.

Seller Inventory # 121076

Bibliographic Details

• Title: Grade Models and Methods for Data Analysis: With Applications for the Analysis of Data Populations (Studies in Fuzziness and Soft Computing)
• Publisher: Springer, U.S.A.
• Publication Date: 2004
• Language: English
• ISBN 10: 3540211209
• ISBN 13: 9783540211204
• Binding: Hard Cover
• Condition: Good
• Dust Jacket Condition: No Jacket
• Book Type: Ex-Library

About this title

Synopsis

This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners. The text is richly illustrated through examples and case studies and includes a short introduction to software implementing grade methods, which can be downloaded from the editors.