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.
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.
Type-2 Fuzzy Granular Models
93
Type-2 Fuzzy Granular Models
93eBook (1st ed. 2017)
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Product Details
| ISBN-13: | 9783319412887 |
|---|---|
| Publisher: | Springer-Verlag New York, LLC |
| Publication date: | 08/26/2016 |
| Series: | SpringerBriefs in Applied Sciences and Technology |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 93 |
| File size: | 3 MB |