Overview
- Contains the texture theory and its relations to rough sets, fuzzy sets and general topology
- Provides the intelligibility of concepts and motivation and presents concrete examples
- With a systematic and pedagogical motivation
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 411)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
Keywords
About this book
This book provides a complete framework for the fundamental concepts and results of texture spaces and its applications. The principal aim is to present a comprehensive arguments due to connections among the textures, fuzzy sets and rough sets. In this context, direlations, fuzzy direlations and fuzzy relations constitute a bridge for the remarkable observations on rough set theory. In a more general setting, the approximation operators are also inspected for fuzzy rough set models with two domains of discourse.
Since the book is self-contained and reader-friendly, the respected researchers may utilize this source for further investigations of the necessary results for their studies on rough set theory using textures. Therefore, prospective readers are not only mathematicians who interest in purely mathematical theories related to textures, but also engineers of information sciences who need more information for their interdisciplinary studies with respect to rough sets and fuzzy sets.Authors and Affiliations
Bibliographic Information
Book Title: Texture Spaces
Authors: Murat Diker
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-031-39748-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-39747-9Published: 05 December 2023
Softcover ISBN: 978-3-031-39750-9Due: 05 January 2024
eBook ISBN: 978-3-031-39748-6Published: 04 December 2023
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIV, 249
Number of Illustrations: 1 b/w illustrations
Topics: Computational Intelligence, Applications of Mathematics, Data Engineering