Granular Computing: basic issues and possible solutions

By Yiyu Yao. 2007

370 citations recorded by the source corpus.

How researchers see this paper

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Handbook of Granular Computing (2008, methodology): “For more details about fuzzy logic we refer to [12, 13].”
Perspectives of granular computing (2005, methodology): “The main objective is to discuss some important perspectives of granular computing, based on our initial research on establishing a holistic, whole, and integrated view of granular computing [37], [38], [39], [40], [41], [42], [43], [44], [45], [46].”
Generalized rough sets based on relations (2007, background): “In order to cope with this issue, researchers have developed many techniques such as fuzzy set theory [28,51], rough set theory [24–27], computing with words [36,52–56], computational theory of linguistic dynamic systems [37], and granular computing [2,7,18,19,48].”
Relationship between generalized rough sets based on binary relation and covering (2009, background): “To solve this problem, scientists in computer science and related areas have proposed various theories such as fuzzy set theory [43,44], granular computing [1,13,30,33,34,39,40], and rough sets [6,19–22,27,48].”