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:

1,375
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:

1

Information Journal Paper

Title

FUZZY CLASSIFICATION OF IRAN PROVINCES BASED ON HEALTH AND DEMOGRAPHIC INDICES

Pages

  1-6

Abstract

 Introduction: Clustering is a statistical technique that can be applied in multivariate data, lead to identifying homogeneous and similar groups of individuals, objects, ..., and all 'subjects', based on common characteristics that have recorded or measured related to these subjects. Different clustering methods include: hierarchical, non-hierarchical and fuzzy. FUZZY CLUSTERING method have useful characteristics in related to extract of more information and solve of problems that occurs in two other methods, hence, this technique recently has been more expanded. In this paper with use of FUZZY CLUSTERING technique, provinces of country are clustered or in fact homogeneous provinces of country are identified based on HEALTH AND DEMOGRAPHIC INDICES. Methods: Four groups of indices used for clustering were: 1) household health service, 2) family planning, 3) fertility women and 4) health and community children. These indices were extracted from DHS(Demographic and Health Survey) design done by the Ministry of Health, Treatment and Medical Education in 2000. Based on each of these indices, similar provinces were identified. Results: Classification showed that standing in a certain cluster based on one indices group cannot necessarily determine being in the same cluster based on other indices groups. The reason for this, might be due to deference in demographic, social, cultural and economical status of the population under study. Conclusion: Results of this research are useful in running and rendering of health services proportional to situation of homogeneous groups of provinces by health officials.

Cites

References

  • No record.
  • Cite

    APA: Copy

    BABAEE, GH., & FEIZI, A.. (2005). FUZZY CLASSIFICATION OF IRAN PROVINCES BASED ON HEALTH AND DEMOGRAPHIC INDICES. HAKIM RESEARCH JOURNAL, 7(4), 1-6. SID. https://sid.ir/paper/29556/en

    Vancouver: Copy

    BABAEE GH., FEIZI A.. FUZZY CLASSIFICATION OF IRAN PROVINCES BASED ON HEALTH AND DEMOGRAPHIC INDICES. HAKIM RESEARCH JOURNAL[Internet]. 2005;7(4):1-6. Available from: https://sid.ir/paper/29556/en

    IEEE: Copy

    GH. BABAEE, and A. FEIZI, “FUZZY CLASSIFICATION OF IRAN PROVINCES BASED ON HEALTH AND DEMOGRAPHIC INDICES,” HAKIM RESEARCH JOURNAL, vol. 7, no. 4, pp. 1–6, 2005, [Online]. Available: https://sid.ir/paper/29556/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