02575nam 22005655 450 991025417670332120251113210814.03-319-41288-410.1007/978-3-319-41288-7(CKB)3710000000837548(EBL)4659091(DE-He213)978-3-319-41288-7(MiAaPQ)EBC4659091(PPN)194805301(EXLCZ)99371000000083754820160826d2017 u| 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierType-2 Fuzzy Granular Models /by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (97 p.)SpringerBriefs in Computational Intelligence,2625-3712Includes index.3-319-41287-6 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.SpringerBriefs in Computational Intelligence,2625-3712Computational intelligenceArtificial intelligenceComputational IntelligenceArtificial IntelligenceComputational intelligence.Artificial intelligence.Computational Intelligence.Artificial Intelligence.620Sanchez Mauricio Aauthttp://id.loc.gov/vocabulary/relators/aut951007Castillo Oscarauthttp://id.loc.gov/vocabulary/relators/autCastro Juan Rauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254176703321Type-2 Fuzzy Granular Models2149991UNINA