Notice of RetractionA comprehensive evaluation of customer knowledge value based on dynamic fuzzy sets

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Customer knowledge value (CKV) is an important part of the customer value. The quantitative understanding of customer knowledge value is particularly important. According to the fuzziness and dynamic characteristics of customer knowledge, this paper puts forward a way of customer knowledge value evaluation based on dynamic fuzzy (DF) sets. In the process of evaluation, we constructed the membership functions according to the characteristics of knowledge growth, which can make evaluation result to be more objective and accurate. Finally, we verify the effectiveness and availability of the method by a sample. This method not only can be used to calculate the size of the customer knowledge value, but also can reflect the dynamic development trend. Furthermore, it can be the reference standard for enterprise to effectively identify customer knowledge source.