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    STUDIA INFORMATICA - Issue no. 1 / 2013  
         
  Article:   FUZZY COMPUTING FOR COMPLEXITY LEVEL OF EVALUATION TESTS.

Authors:  TIBERIU BAN.
 
       
         
  Abstract:  

Students tend to make mistakes in evaluation tests that follow a pattern which can be mined; this allows the level of complexity for a given set of tasks in a test paper to be computed in advance. The goal of this paper is to present a mathematical way to compute the level of complexity for a given set of tasks based on a fuzzy model as an improvement from the crisp model. This indicator can be effectively used to predict in advance the degree in which the association rules already mined will trigger chains of mistakes in a given set of evaluation tasks.

2010 Mathematics Subject Classification. 68P15.1998 CR Categories and Descriptors. H.2.8. [Database Applications]: DataMining -Data Association Methods.

Key words and phrases. Data Mining, Data Association, APriori, Complexity of Test Paper, Mathematical Model of Mistakes.

 
         
     
         
         
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