A Partition Model of Granular Computing
By Yiyu Yao. Trans. Rough Sets, 2004
340 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/6f5476771227f99bc442838fd0f660338cb67cd0
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In Artificial Intelligence
In Computational Theory and Mathematics
Citations in the corpus
- 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].”
- Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation (2007, methodology): “The approaches to generating fuzzy information granules from data [34,35,37,38], the models for granular computing [39–41], the applications of granular computing [21,42–44] were discussed, respectively.”
- Granular Computing and Knowledge Reduction in Formal Contexts (2009, background): “For example, Yao [57] proposed a partition model of GrC.”
- Perspectives of granular computing (2005, background): “A GENERAL FRAMEWORK OF GRANULAR COMPUTING A detailed discussion of basic issues of granular computing is given recently elsewhere [43] , [44].”