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Rough Set–Based Classification Systems on Hardback by Robert K. Nowicki
Rough Set–Based Classification Systems on Hardback by Robert K. Nowicki
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Description

This book demonstrates an original concept for implementing the rough set theory in the construction of decision-making systems. It addresses three types of decisions, including those in which the information or input data is insufficient. Though decision-making and classification in cases with missing or inaccurate data is a common task, classical decision-making systems are not naturally adapted to it. One solution is to apply the rough set theory proposed by Prof. Pawlak. The proposed classifiers are applied and tested in two configurations: The first is an iterative mode in which a single classification system requests completion of the input data until an unequivocal decision (classification) is obtained. It allows us to start classification processes using very limited input data and supplementing it only as needed, which limits the cost of obtaining data. The second configuration is an ensemble mode in which several rough set-based classification systems achieve the unequivocal decision collectively, even though the systems cannot separately deliver such results.
Release date Australia
February 5th, 2019
Pages
188
Edition
1st ed. 2019
Audience
  • Professional & Vocational
Illustrations
125 Illustrations, black and white; XIII, 188 p. 125 illus.
ISBN-13
9783030038946
Product ID
28450379

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