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Autore: |
Sanchez Mauricio A
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Titolo: |
Type-2 Fuzzy Granular Models / / by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
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Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Edizione: | 1st ed. 2017. |
Descrizione fisica: | 1 online resource (97 p.) |
Disciplina: | 620 |
Soggetto topico: | Computational intelligence |
Artificial intelligence | |
Computational Intelligence | |
Artificial Intelligence | |
Persona (resp. second.): | CastilloOscar |
CastroJuan R | |
Note generali: | Includes index. |
Nota di contenuto: | Introduction -- Background and Theory -- Advances in Granular Computing -- Conclusions. . |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Type-2 Fuzzy Granular Models ![]() |
ISBN: | 3-319-41288-4 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910254176703321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |