ENGLISH

Type-2 Fuzzy Granular Models

By Oscar Castillo , Mauricio A. Sanchez , Juan R. Castro (auth.)

Book information

Publisher
Springer International Publishing
Year
2017
ISBN
978-3-319-41288-7, 978-3-319-41287-0
DOI
10.1007/978-3-319-41288-7
Language
english
Format
PDF
Filesize
4 MB (4095907 bytes)
Series
SpringerBriefs in Applied Sciences and Technology
Edition
1
Pages
VIII, 93\97
Time added
2016-12-08 02:00:00
Computational Intelligence;Artificial Intelligence

Description

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.

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