Type-2 Fuzzy Granular Models

ISBN-13: 9783319412870 / Angielski / Miękka / 2016 / 93 str.

Mauricio A. Sanchez; Oscar Castillo; Juan R. Castro

Opis

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.

Spis treści

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

Blurb

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.