Sanchez, Mauricio A. <br/><br/>
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, .
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319412887 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer Engineering
<br/><br/><label>Subjects--Index Terms: </label>Computational Intelligence. Artificial Intelligence. 
<br/><br/><label>Dewey Class. No.: </label>006.3