A Fuzzy Algorithm of Customers Evaluation Based on Attributes Reduction

Hong Xin Wan; Yun Peng

doi:10.4028/www.scientific.net/AMM.278-280.1287

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280A Fuzzy Algorithm of Customers Evaluation Based on...

A Fuzzy Algorithm of Customers Evaluation Based on Attributes Reduction

Abstract:

A fuzzy algorithm of customers evaluation based on attributes reduction is presented. The evaluation from the data objects based on key attributes can reduce the data size and algorithm complexity. After Clustering analysis of customers, then the evaluation analysis will process to the clustering data. There are a lot of uncertain data of customer cluster, so the traditional method of classification and evaluation to the incomplete data is very difficult. Superposition evaluation algorithm based on fuzzy set can improve the reliability and accuracy of e-commerce customer evaluation. Evaluation of the e-commerce customer also can improve efficiency, service quality and profitability of e-commerce businesses.

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Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

1287-1291

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.1287

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Online since:

January 2013

Authors:

Hong Xin Wan, Yun Peng

Keywords:

Attribute Reduction, Cluster Analysis, Fuzzy Evaluation, Membership Function

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