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[null,"1.","Record Nr.",null,"UNINA9910254176703321"]
[null,null,"Autore",null,"Sanchez Mauricio A"]
[null,null,"Titolo",null,"Type-2 Fuzzy Granular Models / / by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017"]
[null,null,"ISBN",null,"3-319-41288-4"]
[null,null,"Edizione",null,"[1st ed. 2017.]"]
[null,null,"Descrizione fisica",null,"1 online resource (97 p.)"]
[null,null,"Collana",null,"SpringerBriefs in Computational Intelligence, , 2625-3712"]
[null,null,"Disciplina",null,"620"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Introduction -- Background and Theory -- Advances in Granular Computing -- Conclusions. ."]
[null,null,null,"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."]