Type-2 Fuzzy Granular Models
Mauricio A. Sanchez
Venduto da BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Venditore AbeBooks dal 11 gennaio 2012
Nuovi - Brossura
Condizione: Nuovo
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Aggiungere al carrelloVenduto da BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Venditore AbeBooks dal 11 gennaio 2012
Condizione: Nuovo
Quantità: 2 disponibili
Aggiungere al carrelloThis item is printed on demand - it takes 3-4 days longer - Neuware -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. 93 pp. Englisch.
Codice articolo 9783319412870
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.
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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