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1.	Nguyen, Linh Anh, et al. (author) Logic-Based Roughification 2013. - 1 In: Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam (vol. I). - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642303432 ; , s. 517-543 Book chapter (other academic/artistic)abstract 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.

Nguyen, Linh Anh, et al. (author)
Logic-Based Roughification
2013. - 1
In: Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam (vol. I). - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642303432 ; , s. 517-543
Book chapter (other academic/artistic)abstract
- 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.

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