From the reviews: "This volume is the second of two volumes of papers published in his memory after his death in 2006. It contains 30 papers covering theory and the application of rough sets contributed by colleagues, former students, and collaborators around the world. ... Each of the chapters has its own list of references. The style of writing is at a very sophisticated level. ... this volume is written for specialists in the theory and applications of rough sets." (Anthony J. Duben, ACM Computing Reviews, January, 2013)

• From the Contents: From Logic to Computer Science – A Personal Experience.- Knowledge Algebras and Their Discrete Duality.- Comparison of Greedy Algorithms for Decision Tree Optimization.- A Review of the Knowledge Granulation Methods: Discrete vs Continuous Algorithms.- Game-theoretic Rough Sets for Feature Selection.- A Clustering Approach to Image Retrieval Using Range Based Query and Mahalanobis Distance.- Classifiers Based on Data Sets and Domain Knowledge: A Rough Set Approach.- Incorporating Rough Data in Database Design for Imprecise Information Representation.

From the reviews: "This volume is the second of two volumes of papers published in his memory after his death in 2006. It contains 30 papers covering theory and the application of rough sets contributed by colleagues, former students, and collaborators around the world. ... Each of the chapters has its own list of references. The style of writing is at a very sophisticated level. ... this volume is written for specialists in the theory and applications of rough sets." (Anthony J. Duben, ACM Computing Reviews, January, 2013)

• From the Contents: From Logic to Computer Science – A Personal Experience.- Knowledge Algebras and Their Discrete Duality.- Comparison of Greedy Algorithms for Decision Tree Optimization.- A Review of the Knowledge Granulation Methods: Discrete vs Continuous Algorithms.- Game-theoretic Rough Sets for Feature Selection.- A Clustering Approach to Image Retrieval Using Range Based Query and Mahalanobis Distance.- Classifiers Based on Data Sets and Domain Knowledge: A Rough Set Approach.- Incorporating Rough Data in Database Design for Imprecise Information Representation.

From the reviews: "This volume is the second of two volumes of papers published in his memory after his death in 2006. It contains 30 papers covering theory and the application of rough sets contributed by colleagues, former students, and collaborators around the world. ... Each of the chapters has its own list of references. The style of writing is at a very sophisticated level. ... this volume is written for specialists in the theory and applications of rough sets." (Anthony J. Duben, ACM Computing Reviews, January, 2013)

• From the Contents: From Logic to Computer Science – A Personal Experience.- Knowledge Algebras and Their Discrete Duality.- Comparison of Greedy Algorithms for Decision Tree Optimization.- A Review of the Knowledge Granulation Methods: Discrete vs Continuous Algorithms.- Game-theoretic Rough Sets for Feature Selection.- A Clustering Approach to Image Retrieval Using Range Based Query and Mahalanobis Distance.- Classifiers Based on Data Sets and Domain Knowledge: A Rough Set Approach.- Incorporating Rough Data in Database Design for Imprecise Information Representation.