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161005 ||| eng |
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|a 9783319412887
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| 100 |
1 |
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|a Sanchez, Mauricio A.
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| 245 |
0 |
0 |
|a Type-2 Fuzzy Granular Models
|h Elektronische Ressource
|c by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
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| 250 |
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|a 1st ed. 2017
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2017, 2017
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| 300 |
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|a VIII, 93 p. 60 illus., 51 illus. in color
|b online resource
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| 505 |
0 |
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|a Introduction -- Background and Theory -- Advances in Granular Computing -- Conclusions.
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Artificial intelligence
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| 700 |
1 |
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|a Castillo, Oscar
|e [author]
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| 700 |
1 |
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|a Castro, Juan R.
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a SpringerBriefs in Computational Intelligence
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| 028 |
5 |
0 |
|a 10.1007/978-3-319-41288-7
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-41288-7?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 006.3
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| 520 |
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|a 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
|