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 appro...
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Main Author: | |
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Other Authors: | , |
Format: | eBook |
Language: | English |
Published: |
Switzerland :
Springer,
2016, ©2017.
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Series: | SpringerBriefs in applied sciences and technology. Computational intelligence.
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Subjects: | |
ISBN: | 9783319412887 9783319412870 |
Physical Description: | 1 online resource |
Summary: | 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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Bibliography: | Includes bibliographical references. |
ISBN: | 9783319412887 9783319412870 |
Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |