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Fuzzy Data Analysis

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Fuzzy Data Analysis Synopsis

Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and grey tone pictures, are quite common. In Fuzzy Data Analysis the authors collect their recent results providing the reader with ideas, approaches and methods for processing such data when looking for sub-structures in knowledge bases for an evaluation of functional relationship, e.g. in order to specify diagnostic or control systems. The modelling presented uses ideas from fuzzy set theory and the suggested methods solve problems usually tackled by data analysis if the data are real numbers.
Fuzzy Data Analysis is self-contained and is addressed to mathematicians oriented towards applications and to practitioners in any field of application who have some background in mathematics and statistics.

About This Edition

ISBN: 9789401051057
Publication date: 25th September 2012
Author: Hans Bandemer, Wolfgang Näther
Publisher: Springer an imprint of Springer Netherlands
Format: Paperback
Pagination: 343 pages
Series: Theory and Decision Library B
Genres: Mathematical logic
Management decision making
Operational research
Mathematical foundations
Calculus and mathematical analysis
Probability and statistics