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Granular computing in decision approximation : an application of rough mereology

Author: Lech Polkowski; Piotr Artiemjew
Publisher: Cham : Springer, [2015] ©2015
Series: Intelligent systems reference library, v. 77.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Polkowski, Lech.
Granular computing in decision approximation.
Cham : Springer, [2015]
(OCoLC)892041121
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Lech Polkowski; Piotr Artiemjew
ISBN: 9783319128801 3319128809 3319128795 9783319128795
OCLC Number: 906699027
Description: 1 online resource : illustrations.
Contents: Similarity and Granulation --
Mereology and Rough Mereology. Rough Mereological Granulation --
Learning data Classification. Classifiers in General and in Decision Systems --
Methodologies for Granular Reflections --
Covering Strategies --
Layered Granulation --
Naive Bayes Classifier on Granular Reflections --
The Case of Concept-Dependent Granulation --
Granular Computing in the Problem of Missing Values --
Granular Classifiers Based on Weak Rough Inclusions --
Effects of Granulation on Entropy and Noise in Data. --
Conclusions --
Appendix. Data Characteristics Bearing on Classification.
Series Title: Intelligent systems reference library, v. 77.
Responsibility: Lech Polkowski, Piotr Artiemjew.
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Granular Computing in Decision Approximation  Read more...

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"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 Read more...

 
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