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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Bibliographic Details
Main Author: Sanchez, Mauricio A.
Other Authors: Castillo, Oscar, 1959-, Castro, Juan R.
Format: eBook
Language: English
Published: Switzerland : Springer, 2016, ©2017.
Series: SpringerBriefs in applied sciences and technology. Computational intelligence.
Subjects:
ISBN: 9783319412887
9783319412870
Physical Description: 1 online resource

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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.
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