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Information Granularity in Fuzzy Binary GrC Model

14 years 10 months ago
Information Granularity in Fuzzy Binary GrC Model
—Zadeh’s seminal work in theory of fuzzy-information3 granulation in human reasoning is inspired by the ways in which4 humans granulate information and reason with it. This has led5 to an interesting research topic: granular computing (GrC). Al-6 though many excellent research contributions have been made,7 there remains an important issue to be addressed: What is the8 essence of measuring a fuzzy-information granularity of a fuzzy-9 granular structure? What is needed to answer this question is10 an axiomatic constraint with a partial-order relation that is de-11 fined in terms of the size of each fuzzy-information granule from12 a fuzzy-binary granular structure. This viewpoint is demonstrated13 for fuzzy-binary granular structure, which is called the binary GrC14 model by Lin. We study this viewpoint from from five aspects in15 this study, which are fuzzy BINARY-granular-structure operators,16 partial-order relations, measures for fuzzy-information granular-17 ity, an axiomatic...
Yuhua Qian, Jiye Liang, W.-z. Z. Wu, Chuangyin Dan
Added 15 May 2011
Updated 15 May 2011
Type Journal
Year 2011
Where TFS
Authors Yuhua Qian, Jiye Liang, W.-z. Z. Wu, Chuangyin Dang
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