2001
DOI: 10.1111/0824-7935.00161
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Granular Computing: a Rough Set Approach

Abstract: We discuss information granule calculi as a basis of granular computing. They are defined by constructs like information granules, basic relations of inclusion and closeness between information granules as well as operations on them. The exact interpretation between granule languages of different information sources (agents) often does not exist. Hence (rough) inclusion and closeness of granules are considered instead of their equality. Examples of all the basic constructs of information granule calculi are pr… Show more

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Cited by 67 publications
(36 citation statements)
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“…The term "granular computing (GrC)" is used by researchers in computational intelligence as a name to label an emerging field of interdisciplinary study that explores different levels of granularity in human-centered problem solving and information processing [2,3,[7][8][9]11,12,[17][18][19][20][21][22][23][24][25][26][27][28][29]31,32].…”
Section: Introductionmentioning
confidence: 99%
“…The term "granular computing (GrC)" is used by researchers in computational intelligence as a name to label an emerging field of interdisciplinary study that explores different levels of granularity in human-centered problem solving and information processing [2,3,[7][8][9]11,12,[17][18][19][20][21][22][23][24][25][26][27][28][29]31,32].…”
Section: Introductionmentioning
confidence: 99%
“…GrC is the science of processing data in different granularity levels (Bargiela and Pedrycz, 2003, Pawlak, 1982, Hobbs, 1985, Zadeh and Kacprzyk, 1999, Nguyen et al, 2001, Miao and Fan, 2002, Keet, 2008, Yao, 2008. In order to do so, information is divided into subsets, which are called granules of information (Yao, 2001, Lin, 2003, Yao, 2008.…”
Section: Granular Computing Algorithmmentioning
confidence: 99%
“…GrC is the science of information processing at different levels of granularity (Pawlak, 1982;Hobbs, 1985;Zadeh, 1997;Nguyen et al, 2001;Miao and Fan, 2002;Bargiela, 2003;Keet, 2008;Yao, 2008). In the GrC approach, information is divided into subsets or granules of information (Yao, 2001;Lin, 2003;Yao, 2008).…”
Section: Granular Computing Rule Extractionmentioning
confidence: 99%