Type-2 Fuzzy Granular Models Paperback / softback
by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
Part of the SpringerBriefs in Computational Intelligence series
Paperback / softback
- Information
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:93 pages, 51 Illustrations, color; 9 Illustrations, black and white; VIII, 93 p. 60 illus., 51 illus
- Publisher:Springer International Publishing AG
- Publication Date:02/09/2016
- Category:
- ISBN:9783319412870
Other Formats
- EPUB from £38.24
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:93 pages, 51 Illustrations, color; 9 Illustrations, black and white; VIII, 93 p. 60 illus., 51 illus
- Publisher:Springer International Publishing AG
- Publication Date:02/09/2016
- Category:
- ISBN:9783319412870
