Customer information system using fuzzy query and cluster analysis

References

• Aldenderfer, M. S. and R. K. Blashfield, Cluster Analysis: Quatitative Applications in the Social Sciences, Sage, Beverly Hills (1984).
   Google Scholar
• Bosc, P. and O. Pivert, “SQLf: A relational database language for fuzzy querying,” IEEE Transactions on Fuzzy Systems, 3, 1–17 (1995).10.1109/91.366566
   Web of Science ®Google Scholar
• Buckles, B. P., “Information-theoretical characterization of fuzzy relational databases,” IEEE Transactions on Systems, Man, and Cybernetics, SMC-13, 74–77 (1983).10.1109/TSMC.1983.6313032
   Google Scholar
• Chen, S. M. and W. T. Jong, “Fuzzy query translation for relational database systems,” IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 27, 714–721 (1997).10.1109/3477.604117
   PubMed Web of Science ®Google Scholar
• Chen, S. M. and Y. S. Lin, “A new method for fuzzy query processing inrelational database systems,” Cybernetics and Systems: An International Journal, 33, 447–482 (2002).10.1080/01969720290040696
   Web of Science ®Google Scholar
• Chiu, C. Y., Y. F. Chen, I. T. Kuo and H. C. Ku, “An intelligent market segmentation system using k-means and particle swarm optimization,” Expert Systems with Applications, 36, 4558–4565 (2008).
   Web of Science ®Google Scholar
• Codd, E. F., “A relational model for large shared data banks,” Communications of the ACM – Special 25th Anniversary Issue, 26, 64–69 (1983).
   Google Scholar
• Date, C. J., An Introduction to Database Systems. 3rd ed., Addison-Wesley, Reading, MA (1981).
   Google Scholar
• Galindo, J., A. Urrutia and M. Piattini, Fuzzy Databases: Modeling, Design and Implementation, Idea Group Publishing, Hershey, PA, USA (2005).10.4018/978-1-59140-324-1
   Google Scholar
• Gilmore, W. J., Beginning PHP and MySQL 5: From Novice to Professional, Springer-Verlag New York Inc, New York, NY, USA (2006).
   Google Scholar
• Guiffrida, A. L. and R. Nagi, “Fuzzy set theory application in production management research: A literature survey,” Journal of Intelligent Manufacturing, 9, 39–56 (1998).10.1023/A:1008847308326
   Web of Science ®Google Scholar
• Ha, S. H. and S. C. Park, “Application of data mining tools to hotel data mart on the intranet for database marketing,” Expert Systems with Application, 15, 1–31 (1998).10.1016/S0957-4174(98)00008-6
   Web of Science ®Google Scholar
• Jain, A. K. and R. C. Dubes, Algorithms for Clustering Data, Prentice-Hall, Englewood Cliffs, NJ (1988).
   Google Scholar
• Jain, A. K., M. N. Murty and P. J. Flynn, “Data clustering: A review,” ACM Computing Surveys, 31, 264–323 (1999).10.1145/331499.331504
   Web of Science ®Google Scholar
• Kamel, M., B. Hadfield and M. Ismail, “Fuzzy query processing using clustering techniques,” Information Processing & Management, 26, 279–293 (1990).10.1016/0306-4573(90)90031-V
   Web of Science ®Google Scholar
• Lin, S. Y., Integration of Fuzzy Theory and Data Mining for Analyzing Job Orders in Industrial Computer Manufacturers, Master thesis, National Taipei University of Technology, Taipei, Taiwan, (2005).
   Google Scholar
• Lucarella, D. and R. Morara, “FIRST: Fuzzy information retrieval system,” Journal of Information Science, 17, 81–91 (1991).10.1177/016555159101700202
   Web of Science ®Google Scholar
• Marcus, C., “A practical yet meaningful approach to customer segmentation,” Journal of Consumer Marketing, 15, 494–504 (1998).10.1108/07363769810235974
   Google Scholar
• Qiang, L., W. Yang and D. Yi, “Kernel shapes of fuzzy sets in fuzzy systems for function approximation,” Information Sciences, 178, 836–857 (2008).
   Web of Science ®Google Scholar
• Saarenvirta, G., “Data mining to improve profitability,” CMA Management, 72, 8–12 (1998).
   Google Scholar
• Schmid, J. and W. Alan, “Catalog database marketing done right,” Target Marketing, 19, 34–36 (1995).
   Google Scholar
• Schmid, J. and L. Boyle, “Catalog creative: The RFMP way,” Target Marketing, 21, 38–41 (1998).
   Google Scholar
• Silberschatz, A., H. F. Kotth and S. Sudarshan, Database System Concepts, McGraw Hill College, Columbus, OH, USA (2005).
   Google Scholar
• Tahani, V., “A conceptual framework for fuzzy querying processing: A step toward very intelligent databases systems,” Information Processing & Management, 13, 289–303 (1977).10.1016/0306-4573(77)90018-8
   Web of Science ®Google Scholar
• Takahashi, Y., “A fuzzy query language for relational databases,” IEEE Transactions on Systems, Man, and Cybernetics, 21, 1576–1579 (1991).10.1109/21.135699
   Web of Science ®Google Scholar
• Tou, J. T. and R. C. Gonzalez, Pattern Recognition Principles, Addison-Wesley, London (1974).
   Google Scholar
• Zadeh, L. A., “Fuzzy sets,” Information and Control, 8, 338–353 (1965).10.1016/S0019-9958(65)90241-X
   Web of Science ®Google Scholar
• Zemankova, M. and A. Kandel, “Implementing imprecision in information systems,” Information Sciences, 37, 107–141 (1985).10.1016/0020-0255(85)90008-8
   Web of Science ®Google Scholar