Sanchez / Castillo / Castro Type-2 Fuzzy Granular Models

1. Auflage 2017
ISBN: 978-3-319-41288-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 93 Seiten, eBook

Reihe: SpringerBriefs in Computational Intelligence

In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm based on Newtonian gravitational forces is proposed. A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple approaches, such as Coefficient of Variation, principle of justifiable granularity, uncertainty-based information concept, and numerical evidence based. And a fuzzy granular application comparison is given as to demonstrate the differences in how uncertainty affects the performance of fuzzy information granules.

Zielgruppe

Research

Autoren/Hrsg.

Sanchez, Mauricio A.

Castillo, Oscar

Castro, Juan R.

Inhaltsverzeichnis

Introduction.- Background and Theory.- Advances in Granular Computing.- Conclusions.