Common Metamodel of Questionnaire Model and Decision Tree Model

Abstract

The subject of this paper is metamodeling and its application in the field of scientific research. The main goal is to explore the possibilities of integration of two methods: questionnaires and decision trees. The questionnaire method was established as one of the methods for data collecting, while the decision tree method represents an alternative way of presenting and analyzing decision making situations. These two methods are not completely independent, but on the contrary, there is a strong natural bond between them. Therefore, the result reveals a common meta-model that over common concepts and with the use of metamodeling connects the methods: questionnaires and decision trees. The obtained results can be used to create a CASE tool or create repository that can be suitable for exchange between different systems. The proposed meta-model is not necessarily the final product. It could be further developed by adding more entities that will keep some other data.

Kano Model Integration with Data Mining to Predict Customer Satisfaction

“…The connection between the contentment of the clients and different aspects of the institutions has been found to be effectively determined with the help of regression techniques [83]. As shown in the result part, the main metrics for model evaluation used in this research are R-square value, RMSE, MAE, and Pearson correlation coefficient.…”