Abstract | ||
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A variable precision rough set(VPRS) is an extension of a Pawlak rough set. By setting a threshold beta, VPRS loosens the strict definition of approximate boundary in Pawlak rough sets. This paper deals with uncertainty of rough sets based on the VPRS model. A measure is first defined to characterize fuzziness of a set in an information system. A pair of lower and upper approximations based on the fuzzy measure are then defined. Properties of the fuzzy measure and approximations are also examined. |
Year | DOI | Venue |
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2007 | 10.1007/978-3-540-71441-5_87 | FUZZY INFORMATION AND ENGINEERING, PROCEEDINGS |
Keywords | Field | DocType |
fuzzy measure,rough sets,variable precision rough sets | Defuzzification,Fuzzy classification,Fuzzy set operations,Computer science,Fuzzy logic,Algorithm,Rough set,Artificial intelligence,Fuzzy number,Membership function,Machine learning,Dominance-based rough set approach | Conference |
Volume | ISSN | Citations |
40.0 | 1615-3871 | 5 |
PageRank | References | Authors |
0.51 | 13 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shen-Ming Gu | 1 | 56 | 5.27 |
Ji Gao | 2 | 19 | 8.29 |
Xiaoqiu Tan | 3 | 11 | 1.65 |