Intelligent Systems Reference Library

Granular Computing in Decision Approximation

An Application of Rough Mereology

Authors: Polkowski, Lech, Artiemjew, Piotr

  • Recent research on Granular Computing in Decision Approximation
  • Fully develops the topic of granular computing in classifier synthesis
  • Presents applied algorithms which are illustrated with simple hand examples
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eBook 107,09 €
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  • ISBN 978-3-319-12880-1
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  • Immediate eBook download after purchase
Hardcover 155,99 €
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  • ISBN 978-3-319-12879-5
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Softcover 136,06 €
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  • ISBN 978-3-319-36621-0
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About this book

This book presents a study in knowledge discovery in data with knowledge understood as a set of relations among objects and their properties. Relations in this case are implicative decision rules and the paradigm in which they are induced is that of computing with granules defined by rough inclusions, the latter introduced and studied within rough mereology, the fuzzified version of mereology. In this book basic classes of rough inclusions are defined and based on them methods for inducing granular structures from data are highlighted. The resulting granular structures are subjected to classifying algorithms, notably k—nearest neighbors and bayesian classifiers.

Experimental results are given in detail both in tabular and visualized form for fourteen data sets from UCI data repository. A striking feature of granular classifiers obtained by this approach is that preserving the accuracy of them on original data, they reduce substantially the size of the granulated data set as well as the set of granular decision rules. This feature makes the presented approach attractive in cases where a small number of rules providing a high classification accuracy is desirable. As basic algorithms used throughout the text are explained and illustrated with hand examples, the book may also serve as a textbook.

Reviews

“The book provides an extended presentation of granular computing, focusing on applications in classification/decision theory. … the book is intended to students and researchers interested in granular computing.” (Florin Gorunescu, zbMATH 1314.68006, 2015)


Table of contents (11 chapters)

  • Similarity and Granulation

    Polkowski, Lech (et al.)

    Pages 1-15

    Preview Buy Chapter 30,19 €
  • Mereology and Rough Mereology: Rough Mereological Granulation

    Polkowski, Lech (et al.)

    Pages 17-31

    Preview Buy Chapter 30,19 €
  • Learning Data Classification: Classifiers in General and in Decision Systems

    Polkowski, Lech (et al.)

    Pages 33-62

    Preview Buy Chapter 30,19 €
  • Methodologies for Granular Reflections

    Polkowski, Lech (et al.)

    Pages 63-104

    Preview Buy Chapter 30,19 €
  • Covering Strategies

    Polkowski, Lech (et al.)

    Pages 105-220

    Preview Buy Chapter 30,19 €

Buy this book

eBook 107,09 €
price for Spain (gross)
  • ISBN 978-3-319-12880-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-319-12879-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 136,06 €
price for Spain (gross)
  • ISBN 978-3-319-36621-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Granular Computing in Decision Approximation
Book Subtitle
An Application of Rough Mereology
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
77
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-12880-1
DOI
10.1007/978-3-319-12880-1
Hardcover ISBN
978-3-319-12879-5
Softcover ISBN
978-3-319-36621-0
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XV, 452
Number of Illustrations and Tables
230 b/w illustrations
Topics