مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

890
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

CLUSTERING OF ONLINE STORES FROM SUPPLIER'S POINT OF VIEW: USING CLUSTERS NUMBER OPTIMIZATION IN TWO-LEVEL SOM

Pages

  109-134

Keywords

Not Registered.

Abstract

 By developing information technology and emerging online markets, Planning for these markets and analyzing their details has been became a priority for beneficiary organizations. One of most important online markets in Iran is SIM card credit services that are considered as online stores. Regarding to numerous and increasing number of online malls, grouping and classification of online malls from supplier's point of view in order to forecasting cooperation is essential. In this paper, around three thousand online stores has been studied and analyzed by using one of famous supplier data and it has been clustered according to supplier's indexes. Clustering process has been done by using SOM Neural Network in two levels by K-means algorithm since it facilitates analyzing of clusters. Although various validation indicators has been developed to determine the best number of clusters but in this paper, an optimizing model of compensatory approach to indexes is presented by using combination multi criteria decision making and aggregation of various indexes.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    FAEZI RAD, MOHAMMAD ALI, & POOYA, ALIREZA. (2017). CLUSTERING OF ONLINE STORES FROM SUPPLIER'S POINT OF VIEW: USING CLUSTERS NUMBER OPTIMIZATION IN TWO-LEVEL SOM. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 14(43 ), 109-134. SID. https://sid.ir/paper/213234/en

    Vancouver: Copy

    FAEZI RAD MOHAMMAD ALI, POOYA ALIREZA. CLUSTERING OF ONLINE STORES FROM SUPPLIER'S POINT OF VIEW: USING CLUSTERS NUMBER OPTIMIZATION IN TWO-LEVEL SOM. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2017;14(43 ):109-134. Available from: https://sid.ir/paper/213234/en

    IEEE: Copy

    MOHAMMAD ALI FAEZI RAD, and ALIREZA POOYA, “CLUSTERING OF ONLINE STORES FROM SUPPLIER'S POINT OF VIEW: USING CLUSTERS NUMBER OPTIMIZATION IN TWO-LEVEL SOM,” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 14, no. 43 , pp. 109–134, 2017, [Online]. Available: https://sid.ir/paper/213234/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button