The following paper presents a case study conducted for a non profit organisation (BSU). BSU is a student organisation from Fribourg, Switzerland that regularly organises stock market simulations for students. The purpose of this case study was to analyse participants using a hierarchal fuzzy classification. After a brief overview of BSU, different methods for analysing online customers are analysed. Fuzzy set are presented next and finally a hierarchical fuzzy classification of online participants is presented.

In practice, information systems are based on very large data collections mostly stored in relational databases. As a result of information overload, it has become increasingly difficult to analyze huge amounts of data and to generate appropriate management decisions. Furthermore, data are often imprecise because they do not accurately represent the world or because they are themselves imperfect. For these reasons, a context model with fuzzy classes is proposed to extend relational database systems. More precisely, fuzzy classes and linguistic variables and terms, together with appropriate membership functions, are added to the database schema. The fuzzy classification query language (fCQL) allows the user to formulate unsharp queries that are then transformed into appropriate SQL statements using the fCQL toolkit so that no migration of the raw data is needed. In addition to the context model with fuzzy classes, fCQL and its implementation are presented here, illustrated by concrete examples.

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