Akama, Seiki. <br/><br/>
Reasoning with Rough Sets  Logical Approaches to Granularity-Based Framework /  [electronic resource] : 
by Seiki Akama, Tetsuya Murai, Yasuo Kudo. 
 - 1st ed. 2018. 
 - X, 201 p. 12 illus., 7 illus. in color.  online resource. 
 - Intelligent Systems Reference Library,  142  1868-4408 ; .
 - Intelligent Systems Reference Library,  142 .
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319726915 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-72691-5  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computational intelligence.<br/>Artificial intelligence.<br/>Computational Intelligence.<br/>Artificial Intelligence.
<br/><br/><label>LC Class. No.: </label>Q342 
<br/><br/><label>Dewey Class. No.: </label>006.3