Rough Sets and Intelligent Systems.Vol.1
Professor Zdzislaw Pawlak in Memoriam
(Sprache: Englisch)
This book demonstrates that the scientific approaches discovered by Professor Zdzislaw Pawlak, especially the rough set approach as a tool for dealing with imperfect knowledge, are vivid and intensively explored by leading researchers worldwide.
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This book demonstrates that the scientific approaches discovered by Professor Zdzislaw Pawlak, especially the rough set approach as a tool for dealing with imperfect knowledge, are vivid and intensively explored by leading researchers worldwide.
Klappentext zu „Rough Sets and Intelligent Systems.Vol.1 “
This book is dedicated to the memory of Professor Zdzis{\l}aw Pawlak who passed away almost six year ago. He is the founder of the Polish school of Artificial Intelligence and one of the pioneers in Computer Engineering and Computer Science with worldwide influence. He was a truly great scientist, researcher, teacher and a human being.This book prepared in two volumes contains more than 50 chapters. This demonstrates that the scientific approaches discovered by of Professor Zdzis{\l}aw Pawlak, especially the rough set approach as a tool for dealing with imperfect knowledge, are vivid and intensively explored by many researchers in many places throughout the world. The submitted papers prove that interest in rough set research is growing and is possible to see many new excellent results both on theoretical foundations and applications of rough sets alone or in combination with other approaches.
We are proud to offer the readers this book.
Inhaltsverzeichnis zu „Rough Sets and Intelligent Systems.Vol.1 “
Professor Zdzis.aw Pawlak (1926-2006): Founder of the PolishSchool of Artificial Intelligence .-
2 List ofWorks by Professor Zdzis.aw Pawlak (1926-2006) :.-
3 Rough Sets: From Rudiments to Challenges .-
4 Zdzis.aw Pawlak, Databases and Rough Sets .-
5 jMAF - Dominance-based Rough Set Data Analysis Framework .-
6 Dynamic Programming Approach for Exact Decision Rule
Optimization .-
7 Approaches for Updating Approximations in Set-Valued
Information Systems while Objects and Attributes Vary with Time .-
8 On the Gradual Evolvement of Things .-
9 An Empirical Comparison of Rule Sets Induced by LERS and
Probabilistic Rough Classification .-
10 Exploring Neighborhood Structures with Neighborhood Rough
Sets in Classification Learning .-
11 Rough Representations of Ill-Known Sets and Their Manipulations
in Low Dimensional Space .- Property-Driven Rough Sets Approximations of Relations .-
13 Towards a Comprehensive Similarity Analysis of Voting Procedures
Using Rough Sets and Similarity Measures .-
14 Algebras for Information Systems .-
15 DNA Rough-Set Computing in the Development of Decision Rule
.-
16 Three-valued Logic for Reasoning about Covering-Based Rough.-
17 Music Information Retrieval in Music Repositories .-
18 Rough Support Vectors: Classification, Regression, Clustering .-
19 An Implementation of the Zdzis.aw Pawlak Idea for Reasoning
about Uncertainty. Approximate Reasoning by Parts .-
20 Logic-based Roughification .-
21 How Near Are Zdzis.aw Pawlak fs Paintings? .-22 Granular Concept Mapping and Applications
.-
23 Rough Sets and Medical Differential Diagnosis .-
24 Science and Semantics: A Note on Rough Sets and Vagueness .
22 Granular Concept Mapping and Applications
.-
23 Rough Sets and Medical Differential Diagnosis .-
24 Science and Semantics: A Note on Rough Sets and Vagueness .
Bibliographische Angaben
- 2013, LII, 652 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Andrzej Skowron, Zbigniew Suraj
- Verlag: Springer, Berlin
- ISBN-10: 3642303439
- ISBN-13: 9783642303432
- Erscheinungsdatum: 13.08.2012
Sprache:
Englisch
Pressezitat
From the reviews:"This is the first volume of a two-volume set of papers dedicated to the memory of Zdzislaw Pawlak. ... Each chapter has its own set of references. There is a brief topical index at the end of the volume. The style of writing is at a very sophisticated level consistent with the companion second volume of the pair. The target readership is the specialist in the theory and applications of rough sets." (Anthony J. Duben, Computing Reviews, August, 2013)
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