Sanchez, Mauricio A. <br/><br/>
Type-2 Fuzzy Granular Models  [electronic resource] / 
by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro. 
 - 1st ed. 2017. 
 - VIII, 93 p. 60 illus., 51 illus. in color.  online resource. 
 - SpringerBriefs in Computational Intelligence,  2625-3712 .
 - SpringerBriefs in Computational Intelligence, .
<br/><br/>Introduction -- Background and Theory -- Advances in Granular Computing -- Conclusions. . 
<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>Standard No.: </label>10.1007/978-3-319-41288-7  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computational intelligence.<br/>Artificial intelligence.<br/>Computational Intelligence.<br/>Artificial Intelligence.
<br/><br/><label>LC Class. No.: </label>Q342 
<br/><br/><label>Dewey Class. No.: </label>006.3