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Modeling a fuzzy system for assisting the customer targeting decisions in retail companies

Analele ştiinţifice ale Universităţii "Ovidius" Constanţa. Seria Matematică
Volume 24 (2016): Issue 3 (November 2016)
By:
Open Access
|Sep 2017

References

  1. [1] Agrawal, D. (1996) Effect of Brand Loyalty on Advertising and Trade Promotions: A Game Theoretic Analysis with Empirical Evidence, Marketing Science, 15, 86-108.10.1287/mksc.15.1.86
    Search in Google ScholarBack to article
  2. [2] Araya, S., Silva, M., Weber, R. (2004) A methodology for web usage mining and its application to target group identification, Fuzzy sets and systems, 148(1), 139-152.10.1016/j.fss.2004.03.011
    Search in Google ScholarBack to article
  3. [3] D'Urso, P., Gastaldi, T. (2002) An "orderwise" polynomial regression procedure for fuzzy data, Fuzzy Sets and Systems, 130(1), 1-19.10.1016/S0165-0114(02)00055-6
    Search in Google ScholarBack to article
  4. [4] Hruschka, H. (1986) Market definition and segmentation using fuzzy clustering methods, International Journal of research in Marketing, 3(2), 117-134.10.1016/0167-8116(86)90015-7
    Open DOISearch in Google ScholarBack to article
  5. [5] Kuo, R. J., Chi, S. C., Kao, S. S. (1999) A decision support system for locating convenience store through fuzzy AHP, Computers and Industrial Engineering, 37(1), 323-326.10.1016/S0360-8352(99)00084-4
    Open DOISearch in Google ScholarBack to article
  6. [6] Levy, J. B., Yoon, E. (1995) Modeling global market entry decision by fuzzy logic with an application to country risk assessment, European Journal of Operational Research, 82(1), 53-78.10.1016/0377-2217(93)E0166-U
    Search in Google ScholarBack to article
  7. [7] Li, S. (2000) The development of a hybrid intelligent system for developing marketing strategy, Decision Support Systems, 27(4), 395-409.10.1016/S0167-9236(99)00061-5
    Open DOISearch in Google ScholarBack to article
  8. [8] Mirkin, L. (2003) On the extraction of dead-time controllers and estimators from delay-free parametrizations, IEEE Transactions on Automatic Control,48(4), 543-553.10.1109/TAC.2003.809802
    Search in Google ScholarBack to article
  9. [9] Nauck, D., Klawonn, F., Kruse, R. (1997) Foundations of neuro-fuzzy systems, John Wiley and Sons, Inc.
    Search in Google ScholarBack to article
  10. [10] Turksen, I. B., Willson, I. A. (1995) A fuzzy set model for market share and preference prediction. European Journal of Operational Research, 82(1), 39-52.10.1016/0377-2217(93)E0331-Q
    Search in Google ScholarBack to article
  11. [11] Zadeh, L. A. (1997) Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic, Fuzzy sets and systems, 90(2), 111-127.10.1016/S0165-0114(97)00077-8
    Search in Google ScholarBack to article
DOI: https://doi.org/10.1515/auom-2016-0058 | Journal eISSN: 1844-0835 | Journal ISSN: 1224-1784
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Language: English
Page range: 259 - 273
Submitted on: May 30, 2015
Accepted on: Dec 10, 2015
Published on: Sep 21, 2017
Published by: Ovidius University of Constanta
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year
Keywords:
fuzzy system
Related subjects:
Mathematics,
General mathematics

© 2017 Angela-Eliza Micu, published by Ovidius University of Constanta
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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