Solving Incomplete Datasets in Soft Set Using Supported Sets and Aggregate Values

Mohd Rose, Ahmad Nazari and Hassan, Hasni and Awang, Mohd Isa and Mahiddin, Nor Aida (2011) Solving Incomplete Datasets in Soft Set Using Supported Sets and Aggregate Values. Procedia Computer Science, 5. pp. 354-361. ISSN 1877-0509

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Abstract

The theory of soft set proposed by Molodtsovin 1999[1]is a new method for handling uncertain data and can be defined as a Boolean-valued information system. Ithas been applied to data analysis and decision support systems based on large datasets. In this paper, it is shown that calculated support value can be used to determine missing attribute value of an object. However, in cases when more than one value is missing, the aggregate values and calculated support values will be used in determining the missing values. By successfully recovering missing attribute values, the integrity of a dataset can still been maintained.

Item Type: Article
Keywords: Boolean-valued information systems;Soft Set Theory, supported set, incomplete datasets, missing values
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Institute: Faculty of Informatics & Computing
Depositing User: Ahmad Nazari Mohd Rose
Date Deposited: 20 May 2014 08:38
Last Modified: 20 May 2014 08:38
URI: http://erep.unisza.edu.my/id/eprint/705

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