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

By: Contributor(s): Material type: TextSeries: SpringerBriefs in Applied Sciences and TechnologyPublisher: Cham : Springer International Publishing : Imprint: Springer, 2017Description: VIII, 93 p. 60 illus., 51 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319412887
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3 23
Online resources:
Contents:
Introduction -- Background and Theory -- Advances in Granular Computing -- Conclusions. .
In: Springer eBooksSummary: 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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Introduction -- Background and Theory -- Advances in Granular Computing -- Conclusions. .

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.