Type-2 Fuzzy Granular Models

Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro (Autoren)

Buch | Softcover

VIII, 93 Seiten

2016 | 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-41287-0 (ISBN)

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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.

Introduction.- Background and Theory.- Advances in Granular Computing.- Conclusions.

Erscheinungsdatum	19.08.2016
Reihe/Serie	SpringerBriefs in Applied Sciences and Technology
Reihe/Serie	SpringerBriefs in Computational Intelligence
Zusatzinfo	VIII, 93 p. 60 illus., 51 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	artificial intelligence (incl. robotics) • Computational Intelligence • Engineering • Fuzzy Aggregation • Fuzzy Sets • Granular Computing • Type-2 Fuzzy Granular Models
ISBN-10	3-319-41287-6 / 3319412876
ISBN-13	978-3-319-41287-0 / 9783319412870
Zustand	Neuware