International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 4, No. 11, 8 Oct. 2012
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Prediction of Missing Values for Decision Attribute
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Author(s)
T. Medhat
1,*
Index Terms
Rough Sets, Degree of Dependency, Distance Function, Missing Values
Abstract
The process of determining missing values in information system is an important issue for decision making especially when the missing values are in the decision attribute. The main goal for this paper is to introduce algorithm for finding missing values of decision attribute. Our approach is depending on distance function between existing values. These values can be calculated by distance function between the conditions attributes values for the complete information system and incomplete information system. This method can deal with the repeated small distance by eliminating a condition attribute which has the smallest effect on the complete information system. This algorithm will be discussed in detail with an example of a case study.
Cite This Paper
T. Medhat, "Prediction of Missing Values for Decision Attribute", International Journal of Information Technology and Computer Science(IJITCS), vol.4, no.11, pp.58-66, 2012. DOI:10.5815/ijitcs.2012.11.08
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