Type-2 Fuzzy Granular Models
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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Type-2 Fuzzy Granular Models
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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Type-2 Fuzzy Granular Models
93
Type-2 Fuzzy Granular Models
93Paperback(1st ed. 2017)
$54.99
54.99
In Stock
Product Details
| ISBN-13: | 9783319412870 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 08/26/2016 |
| Series: | SpringerBriefs in Applied Sciences and Technology |
| Edition description: | 1st ed. 2017 |
| Pages: | 93 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |
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