Type-2 Fuzzy Granular Models / by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro

By:

Sanchez, Mauricio A [aut]

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Applied Sciences and Technology | SpringerLink BücherPublisher: Cham ; s.l. : Springer International Publishing, 2017Description: Online-Ressource (VIII, 93 p. 60 illus., 51 illus. in color, online resource)ISBN:

9783319412887

Subject(s):

Additional physical formats: 9783319412870 | Druckausg.: 978-3-319-41287-0 MSC: MSC: *68-02 | 68T20 | 68T37LOC classification:

Q342

DOI: DOI: 10.1007/978-3-319-41288-7Online resources:

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 granulesSummary: Introduction -- Background and Theory -- Advances in Granular Computing -- ConclusionsPPN: PPN: 1658667166Package identifier: Produktsigel: ZDB-2-ENG

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