TY - BOOK ID - 32075244 TI - Reasoning with Rough Sets : Logical Approaches to Granularity-Based Framework AU - Akama, Seiki. AU - Murai, Tetsuya. AU - Kudo, Yasuo. PY - 2018 SN - 3319726919 3319726900 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Rough sets. KW - Granular computing. KW - GC (Computer science) KW - Rough set theory KW - Theory of rough sets KW - Engineering. KW - Artificial intelligence. KW - Computational intelligence. KW - Computational Intelligence. KW - Artificial Intelligence (incl. Robotics). KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Construction KW - Industrial arts KW - Technology KW - Set theory KW - Artificial Intelligence. UR - https://www.unicat.be/uniCat?func=search&query=sysid:32075244 AB - 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. ER -