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Rules induction on child well being

100%

Adamus E. , Klęsk P. , Kołodziejczyk J. , Korzeń M. , Piegat A. , Pluciński M.

Metody Informatyki Stosowanej

2010

tom nr 4 (24)

5-10

The aim of this research was to induct rules from a dataset obtained through a survey on child well-being that was performed in Poland Western Pomarania. For rule induction the exhaustive algorithm was used. The assessment of the strengths of found rules can be carried out and expressed in terms of: the conditional entropy and the Kullback-Leibler's number. Resulting rules are elements of a Pareto optimal set of derived rules, which are 'sensible' and 'interesting', Each rule combines thefunctionings (activities during childhood) and subjective evaluation of childhood.

Child well being estimation as a multi-criteria decision problem

80%

Adamus E. , Klęsk P. , Kołodziejczyk J. , Korzeń M. , Piegat A. , Pluciński M.

Metody Informatyki Stosowanej

2011

tom nr 4

279-286

The aim of the article is to establish a list of capabilities with reference to children’s well being in Poland. This issue can be considered as a multicriterial classification problem where decision attributes classes are ordered due to the preference – criteria. We used a Dominance-based Rough Set Approach (DRSA) adapted to deal with missing values. Analysis was performed on data set collected in Zachodniopomorskie district as a result of survey conduction.