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:

379
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

Selection for value added tax audit

Pages

  99-109

Abstract

 In this article in order manage the risk from the lack of Tax Compliance. The optimal model “ selection forvat audit” using data mining techniques (vector machine and decision tree) be studied. In the selection for auditing, the important issue is select the right files for auditing from within the range of potential candidates. So that’ s the choice while covering the maximum tax risk, it will increase the efficiency of the tax system. because of the limits available in time and sources, Audit all tax payer will get various costs. In addition, the costs associated with the audit and the revenue from auditing are also raised. therefore, the output of the tax audit process greatly contributes depending on the quality of the selection of the audited tax payers collection. To do this research in it all, using the Delphi method, factors affecting tax risk are identified and continuing with the using of the statistical samples of research. Which includes 281 companies that were subject to Vat audit between 2001 to 2015, Different models were extracted and their ability was evaluated to choose optimally for Vat audit. The results of the study show that the Linear support vector machine method up to 70% of tax payers with this clustering algorithm correctly they will be separated depending on the analysis of existing data. Which is more reliaboh le then other data mining techniques of decision tree.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    Masihi, Mohammad, YAGHOOBNEJAD, AHMAD, Keghobadi, Amirreza, & TORABI, TAGHI. (2020). Selection for value added tax audit. JOURNAL OF ACCOUNTING KNOWLEDGE AND MANAGEMENT AUDITING, 8(32 ), 99-109. SID. https://sid.ir/paper/405574/en

    Vancouver: Copy

    Masihi Mohammad, YAGHOOBNEJAD AHMAD, Keghobadi Amirreza, TORABI TAGHI. Selection for value added tax audit. JOURNAL OF ACCOUNTING KNOWLEDGE AND MANAGEMENT AUDITING[Internet]. 2020;8(32 ):99-109. Available from: https://sid.ir/paper/405574/en

    IEEE: Copy

    Mohammad Masihi, AHMAD YAGHOOBNEJAD, Amirreza Keghobadi, and TAGHI TORABI, “Selection for value added tax audit,” JOURNAL OF ACCOUNTING KNOWLEDGE AND MANAGEMENT AUDITING, vol. 8, no. 32 , pp. 99–109, 2020, [Online]. Available: https://sid.ir/paper/405574/en

    Related Journal Papers

  • No record.
  • 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