Expert Fuzzy Information Processing

  • Olga Poleshchuk
  • Evgeniy Komarov

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 268)

Table of contents

  1. Front Matter
  2. Olga Poleshchuk, Evgeniy Komarov
    Pages 1-41
  3. Olga Poleshchuk, Evgeniy Komarov
    Pages 147-182
  4. Back Matter

About this book


This book deals with expert evaluation models in the form of semantic spaces with completeness and orthogonality properties (complete orthogonal semantic spaces). Theoretical and practical studies of some researchers have shown that these spaces describe expert evaluations most adequately, and as a result they were often included in more sophisticated models of intellectual systems for decision making and data analysis. Methods for constructing expert evaluation models of characteristics, comparative analysis of these models, studies of structural composition of their sets and constructing of generalized models are described. Models to obtain rating points for objects and groups of objects with qualitative and quantitative characteristics are presented. A number of regression models combining elements of classical and fuzzy regressions are presented.

All methods and models developed by the authors and described in the book are illustrated with examples from various fields of human activities.

This book meant for scientists in the field of computer science, expert systems, artificial intelligence and decision making; and also for engineers, post-graduate students and students who study the fuzzy set theory and its applications.


Defuzzification Methods Expert Estimation Model Fuzzy Cluster Analysis Fuzzy Regression Analysis Rating Points of Objects

Authors and affiliations

  • Olga Poleshchuk
    • 1
  • Evgeniy Komarov
    • 1
  1. 1.Moscow State Forest UniversityMytishiRussia

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-20124-0
  • Online ISBN 978-3-642-20125-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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