The theory of soft set proposed by Molodtsov [2]in 1999 is a new method for handling uncertain data and can be redefined as a Boolean-valued information system. The soft set theory has been applied to data analysis and decision support systems based on large datasets. Using retrieved datasets, we have calculated the supported values and then determine the even parity bits. Using the parity bit, the problem of missing values from the retrieved datasets can be solved. © 2011 Springer-Verlag.
CITATION STYLE
Ahmad, A. N., Hassan, H., Awang, M. I., Herawan, T., & Deris, M. M. (2011). Solving incomplete datasets in soft set using parity bits of supported sets. In Communications in Computer and Information Science (Vol. 150 CCIS, pp. 33–43). https://doi.org/10.1007/978-3-642-20975-8_5
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