Application of the Formal Concept Analysis in Evaluation of Results of ANEWS Questionnaire and Physical Activity of the Czech Regional Centers
Jir ́ i Zacpal, Erik Sigmund, Josef Mitáš · 2008
Formal concept analysis is a method of exploratory data analysis that aims at the extraction of natural clusters from object- attribute data tables. The clusters, called formal concepts, can be similar to human-perceived concepts in a traditional sense and can be partially ordered by a subconcept-superconcept hierarchy. The hierarchical struc- ture of formal concepts (so-called concept lattice) represents structured information obtained automatically from the input data table. The goal of this paper is to describe a method of evaluation of ANEWS question- naire by Formal concept analysis. We describe a method adjustment of questionnaire by scaling to classical formal context. After that we sepa- rate some attributes to groups and make so-called aggregate atributes. This way we make modified formal context and calculate formal concept lattice. We define term characteristic function for every concept. This is function, which for given extent or intent return a real number, which characterized this concept and is important for evaluation. Our method is illustrated on ANEWS questionnaire and measured steps in randomized sample of 15-65 years-old inhabitants of the Czech regional centers.