Approximation of Specific Properties of Complex Objects

In this paper we illustrate application of many valued context for extracting dependences from complex data sets. While the classical binary approach clearly indicates relationships among objects and attributes it still does not provide any information on the degrees to which an object possesses an attribute. Many valued contexts allow inclusion of more detailed description on such dependences. A specific data set is considered by working with both binary and many-valued contents. The latter one definitely provides a better overview of the dependences among objects and attributes.