Transactions on Rough Sets VI: Commemorating the Life and Work of Zdzisław Pawlak, Part I

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Edition: 1

Series: Lecture Notes in Computer Science 4374

ISBN: 3540711988, 9783540711988

Size: 8 MB (7959804 bytes)

Pages: 500/508

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Mohua Banerjee, Md. Aquil Khan (auth.), James F. Peters, Andrzej Skowron, Ivo Düntsch, Jerzy Grzymała-Busse, Ewa Orłowska, Lech Polkowski (eds.)3540711988, 9783540711988

From the reviews:

“It consists of 21 contributed papers, and a 90-plus-page monograph, ‘Lattice Theory for Rough Sets’. … would primarily be of interest to researchers and graduate students who are, or would like to be, in the area of rough sets.” (Shrisha Rao, Computing Reviews, Vol. 50 (1), January, 2009)


Table of contents :
Front Matter….Pages –
Propositional Logics from Rough Set Theory….Pages 1-25
Intuitionistic Rough Sets for Database Applications….Pages 26-30
An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values….Pages 31-50
Pawlak’s Landscaping with Rough Sets….Pages 51-63
A Comparison of Pawlak’s and Skowron–Stepaniuk’s Approximation of Concepts….Pages 64-82
Data Preparation for Data Mining in Medical Data Sets….Pages 83-93
A Wistech Paradigm for Intelligent Systems….Pages 94-132
The Domain of Acoustics Seen from the Rough Sets Perspective….Pages 133-151
Rule Evaluations, Attributes, and Rough Sets: Extension and a Case Study….Pages 152-171
The Impact of Rough Set Research in China: In Commemoration of Professor Zdzisław Pawlak….Pages 172-175
A Four-Valued Logic for Rough Set-Like Approximate Reasoning….Pages 176-190
On Representation and Analysis of Crisp and Fuzzy Information Systems….Pages 191-210
On Partial Covers, Reducts and Decision Rules with Weights….Pages 211-246
A Personal View on AI, Rough Set Theory and Professor Pawlak….Pages 247-252
Formal Topology and Information Systems….Pages 253-297
On Conjugate Information Systems: A Proposition on How to Learn Concepts in Humane Sciences by Means of Rough Set Theory….Pages 298-307
Discovering Association Rules in Incomplete Transactional Databases….Pages 308-328
On Combined Classifiers, Rule Induction and Rough Sets….Pages 329-350
Approximation Spaces in Multi Relational Knowledge Discovery….Pages 351-365
Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy….Pages 366-396
A Model PM for Preprocessing and Data Mining Proper Process….Pages 397-399
Lattice Theory for Rough Sets….Pages 400-498
Back Matter….Pages –

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