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The Development of Customer Relationship Management System Based on Rough Set

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Emerging Research in Artificial Intelligence and Computational Intelligence (AICI 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 315))

Abstract

Customer relationship management system is the use of information science and technology, marketing, sales, service and other activities automation, companies can more efficiently provide customers with satisfaction, attentive service to improve customer satisfaction, loyalty, for the purpose of a management mode of operation. Rough set theory is built on the basis of the classification mechanism, it will be classified understand in a particular space on the equivalence relation, equivalence relations constitute the division of space. The paper presents the development of customer relationship management system based on rough set. Experimental results show that rough set is superior to FCA in the attribute numbers.

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References

  1. Chang, S.: A Novel Attribute Reduction Method based on Rough Sets and its Application. IJACT 4(3), 99–104 (2012)

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Author information

Authors and Affiliations

  1. Nanyang Institute of Technology, Nanyang, Henan, 473004, China

    Lilei Qi & Songjuan Zhang

Authors
  1. Lilei Qi
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  2. Songjuan Zhang
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Editor information

Editors and Affiliations

  1. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  2. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  3. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  4. School of Electronics and Information, Tongji University, China, 201804, Shanghai, China

    Duoqian Miao

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Qi, L., Zhang, S. (2012). The Development of Customer Relationship Management System Based on Rough Set. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2012. Communications in Computer and Information Science, vol 315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34240-0_43

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  • DOI: https://doi.org/10.1007/978-3-642-34240-0_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34239-4

  • Online ISBN: 978-3-642-34240-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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