Type-2 Fuzzy Granular Models

by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro

Overview

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.

Product Details

ISBN-13:	9783319412870
Publisher:	Springer International Publishing
Publication date:	08/26/2016
Series:	SpringerBriefs in Applied Sciences and Technology
Edition description:	1st ed. 2017
Pages:	93
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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