This book explores reasoning with rough sets by developing a granularity-based framework. It begins with a brief description of the rough set theory, then examines selected relations between rough set theory and non-classical logics including modal logic. In addition, it develops a granularity-based framework for reasoning in which various types of reasoning can be formalized. The book will be of interest to all researchers whose work involves Artificial Intelligence, databases and/or logic.
Introduction.- Rough Set Theory.-?Non-Classical Logics.-?Logical Characterizations of Rough Sets.-?A Granularity-based Framework of Reasoning.-?Conclusions.
This book explores reasoning with rough sets by developing a granularity-based framework. It begins with a brief description of rough set theory. Next, we examine some relations between rough set theory and non-classical logics including modal logic. We also develop a granularity-based framework for reasoning in which various types of reasoning can be formalized. This book will be of interest to researchers working on the areas in Artificial Intelligence, database and logic.
Explores reasoning with rough sets by developing a granularity-based framework
Includes a brief description of the rough set theory
Examines the relations between rough set theory and nonclassical logics including modal logic
Develops a granularity-based framework for reasoning in which various types of reasoning can be formalized