Type-2 Fuzzy Granular Models
Sanchez, Mauricio A.
Type-2 Fuzzy Granular Models [electronic resource] / - 1st ed. 2017. - VIII, 93 p. 60 illus., 51 illus. in color. | Binding - Card Paper | - SpringerBriefs in Computational Intelligence, 2625-3704 . - SpringerBriefs in Computational Intelligence, .
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.
9783319412887
Computer Engineering
Computational Intelligence. Artificial Intelligence.
006.3
Type-2 Fuzzy Granular Models [electronic resource] / - 1st ed. 2017. - VIII, 93 p. 60 illus., 51 illus. in color. | Binding - Card Paper | - SpringerBriefs in Computational Intelligence, 2625-3704 . - SpringerBriefs in Computational Intelligence, .
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.
9783319412887
Computer Engineering
Computational Intelligence. Artificial Intelligence.
006.3