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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.




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.




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.


Content:
Front Matter....Pages 1-47
Professor Zdzis?aw Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence....Pages 1-56
List of Works by Professor Zdzis?aw Pawlak (1926-2006)....Pages 57-74
Rough Sets: From Rudiments to Challenges....Pages 75-173
Zdzis?aw Pawlak, Databases and Rough Sets....Pages 175-184
jMAF - Dominance-Based Rough Set Data Analysis Framework....Pages 185-209
Dynamic Programming Approach for Exact Decision Rule Optimization....Pages 211-228
Approaches for Updating Approximations in Set-Valued Information Systems While Objects and Attributes Vary with Time....Pages 229-248
On the Gradual Evolvement of Things....Pages 249-259
An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification....Pages 261-276
Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning....Pages 277-307
Rough Representations of Ill-Known Sets and Their Manipulations in Low Dimensional Space....Pages 309-331
Property-Driven Rough Sets Approximations of Relations....Pages 333-357
Towards a Comprehensive Similarity Analysis of Voting Procedures Using Rough Sets and Similarity Measures....Pages 359-380
Algebras for Information Systems....Pages 381-407
DNA Rough-Set Computing in the Development of Decision Rule Reducts....Pages 409-438
Three-Valued Logic for Reasoning about Covering-Based Rough Sets....Pages 439-461
Music Information Retrieval in Music Repositories....Pages 463-489
Rough Support Vectors: Classification, Regression, Clustering....Pages 491-515
Logic-Based Roughification....Pages 517-543
How Near Are Zdzis?aw Pawlak’s Paintings?....Pages 545-568
An Implementation of the Zdzis?aw Pawlak Idea for Reasoning about Uncertainty: Approximate Reasoning by Parts....Pages 569-583
Granular Concept Mapping and Applications....Pages 585-603
Rough Sets and Medical Differential Diagnosis....Pages 605-621
Science and Semantics: A Note on Rough Sets and Vagueness....Pages 623-643
Back Matter....Pages 0--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.


Content:
Front Matter....Pages 1-47
Professor Zdzis?aw Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence....Pages 1-56
List of Works by Professor Zdzis?aw Pawlak (1926-2006)....Pages 57-74
Rough Sets: From Rudiments to Challenges....Pages 75-173
Zdzis?aw Pawlak, Databases and Rough Sets....Pages 175-184
jMAF - Dominance-Based Rough Set Data Analysis Framework....Pages 185-209
Dynamic Programming Approach for Exact Decision Rule Optimization....Pages 211-228
Approaches for Updating Approximations in Set-Valued Information Systems While Objects and Attributes Vary with Time....Pages 229-248
On the Gradual Evolvement of Things....Pages 249-259
An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification....Pages 261-276
Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning....Pages 277-307
Rough Representations of Ill-Known Sets and Their Manipulations in Low Dimensional Space....Pages 309-331
Property-Driven Rough Sets Approximations of Relations....Pages 333-357
Towards a Comprehensive Similarity Analysis of Voting Procedures Using Rough Sets and Similarity Measures....Pages 359-380
Algebras for Information Systems....Pages 381-407
DNA Rough-Set Computing in the Development of Decision Rule Reducts....Pages 409-438
Three-Valued Logic for Reasoning about Covering-Based Rough Sets....Pages 439-461
Music Information Retrieval in Music Repositories....Pages 463-489
Rough Support Vectors: Classification, Regression, Clustering....Pages 491-515
Logic-Based Roughification....Pages 517-543
How Near Are Zdzis?aw Pawlak’s Paintings?....Pages 545-568
An Implementation of the Zdzis?aw Pawlak Idea for Reasoning about Uncertainty: Approximate Reasoning by Parts....Pages 569-583
Granular Concept Mapping and Applications....Pages 585-603
Rough Sets and Medical Differential Diagnosis....Pages 605-621
Science and Semantics: A Note on Rough Sets and Vagueness....Pages 623-643
Back Matter....Pages 0--1
....
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