| Title | : | Type-2 Fuzzy Granular Models |
|---|---|---|
| Author | : | Mauricio A. Sanchez, Oscar Castillo & Juan R. Castro |
| Release | : | 2016-08-26 |
| Kind | : | ebook |
| Genre | : | Computers & Internet, Books, Professional & Technical, Engineering, Computers |
| Size | : | 3717691 |
| 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. |
