Fuzzy Data Analysis

✍ Scribed by Hans Bandemer, Wolfgang Näther (auth.)

Publisher: Springer Netherlands
Year: 1992
Tongue: English
Leaves: 350
Series: Theory and Decision Library 20
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

✦ Table of Contents

Front Matter....Pages i-xii
Introduction....Pages 1-8
Basic notions on fuzzy theory....Pages 9-59
Basic notions of data analysis....Pages 61-87
Fuzzy data....Pages 89-120
Qualitative analysis....Pages 121-183
Quantitative analysis....Pages 185-239
Evaluation of methods in fuzzy data analysis....Pages 241-306
Back Matter....Pages 307-343

✦ Subjects

Mathematical Logic and Foundations; Analysis; Statistics, general; Operation Research/Decision Theory

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