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Entropy Applications for Customer Satisfaction Survey in Information Theory

DOI: 10.5923/j.fs.20110101.01

Keywords: Entropy, Relative Entropy (Kullback – Leibler Divergence), Joint Entropy, Conditional Entropy, Mutual Information, Survey, Scale, Customer Satisfaction

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Abstract:

This study shows an application of information theory in the field of survey scale. Based on customer satisfaction scale it is found out that according to the calculated entropy values, it is possible to reach the aimed information through fewer questions. In brief, the possibility of reaching the same information through fewer questions is shown.

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