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.
ISBN: | 9783319412870 |
Publication date: | 2nd September 2016 |
Author: | Mauricio A Sanchez, Oscar Castillo, Juan R Castro |
Publisher: | Springer International Publishing AG |
Format: | Paperback |
Pagination: | 93 pages |
Series: | SpringerBriefs in Applied Sciences and Technology |
Genres: |
Artificial intelligence |