| Title:
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TYPE-2 FUZZY GRANULAR MODELS
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| By: |
Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro |
| Format: |
Paperback |
| List price:
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£44.99 |
| Our price: |
£38.24 |
| Discount: |
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£6.75 |
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| ISBN 10: |
3319412876 |
| ISBN 13: |
9783319412870 |
| Availability: |
Usually dispatched within 1-3 weeks.
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| Stock: |
Currently 0 available |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
26 August, 2016 |
| Edition: |
1st ed. 2017 |
| Series: |
SpringerBriefs in Applied Sciences and Technology |
| Pages: |
93 |
| Synopsis: |
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. |
| Illustrations: |
51 Illustrations, color; 9 Illustrations, black and white; VIII, 93 p. 60 |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |