Solving Incomplete Datasets in Soft Set Using Parity Bits of Supported Sets

Mohd Rose, Ahmad Nazari and Hassan, Hasni and Awang, Mohd Isa (2011) Solving Incomplete Datasets in Soft Set Using Parity Bits of Supported Sets. In: Ubiquitous Computing and Multimedia Applications. Communications in Computer and Information Science, 150 . Springer Berlin Heidelberg, Berlin Heidelberg, pp. 33-43. ISBN 978-3-642-20974-1

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Official URL: http://dx.doi.org/10.1007/978-3-642-20975-8_5

Abstract

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.

Item Type: Book Section
Additional Information: Book Subtitle: Second International Conference, UCMA 2011, Daejeon, Korea, April 13-15, 2011. Proceedings, Part I
Keywords: Information system,Incomplete Datasets,Parity Bit,Supported Value, Soft set theory
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Faculty / Institute: Faculty of Informatics & Computing
Depositing User: Ahmad Nazari Mohd Rose
Date Deposited: 25 May 2014 03:28
Last Modified: 25 May 2014 03:28
URI: http://erep.unisza.edu.my/id/eprint/1030

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