Reasoning with rough sets : logical approaches to granularity-based framework

Author

• Akama, Seiki

Additional Author(s)

• Murai, Tetsuya
• Kudo, Yasuo

Publisher

Cham, Switzerland : Springer International Publishing, 2018

Language

English

ISBN

9783319726915

Series

Intelligent systems reference library 142

Subject(s)

• DATA MINING
• ROUGH SETS

Notes

. .

Abstract

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.

Physical Dimension

Number of Page(s)

1 online resource (x, 201 p.)

Dimension

-

Other Desc.

ill.

Summary / Review / Table of Content

No summary / review / table of content available!

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	01624/20	511.322 Aka R	Online !	Available