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[1] Jian Lirong, Da Qingli, Chen Weida,. Variable Precision Rough Set and a Fuzzy Measureof Knowledge Based on Variable Precision Rough Set [J]. Journal of Southeast University (English Edition), 2002, 18 (4): 351-355. [doi:10.3969/j.issn.1003-7985.2002.04.013]
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Variable Precision Rough Set and a Fuzzy Measureof Knowledge Based on Variable Precision Rough Set()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
18
Issue:
2002 4
Page:
351-355
Research Field:
Computer Science and Engineering
Publishing date:
2002-12-30

Info

Title:
Variable Precision Rough Set and a Fuzzy Measureof Knowledge Based on Variable Precision Rough Set
Author(s):
Jian Lirong Da Qingli Chen Weida
College of Economics and Management, Southeast University, Nanjing 210096, China
Keywords:
variable precision rough set fuzzy set information system fuzzy measures
PACS:
TP311
DOI:
10.3969/j.issn.1003-7985.2002.04.013
Abstract:
Variable precision rough set(VPRS)is an extension of rough set theory(RST). By setting threshold value β, VPRS looses the strict definition of approximate boundary in RST. Confident threshold value for β is discussed and the method for deriving decision-making rules from an information system is given by an example. An approach to fuzzy measures of knowledge is proposed by applying VPRS to fuzzy sets. Some properties of this measure are studied and a pair of lower and upper approximation operators in fuzzy sets are described. Research results reveal that, based on VPRS, fuzzy membership functions can be explicitly interpreted and semantics of membership values can be explicitly stated.

References:

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Memo

Memo:
* The project supported by the Project of Education Bureau Foundation of China(01JA630048).
** Born in 1968, female, graduate.
Last Update: 2002-12-20