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.
By:
Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro Imprint: Springer International Publishing AG Country of Publication: Switzerland Edition: 1st ed. 2017 Dimensions:
Height: 235mm,
Width: 155mm,
Spine: 6mm
Weight: 1.708kg ISBN:9783319412870 ISBN 10: 3319412876 Series:SpringerBriefs in Computational Intelligence Pages: 93 Publication Date:02 September 2016 Audience:
Professional and scholarly
,
Undergraduate
Format:Paperback Publisher's Status: Active