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Insan Kaynaklari Yonetiminde Performans Degerlendirme Icin Bir Bulanik Uzman Sistem Gerceklestirimi

Author

Listed:
  • Serkan Balli

    (Ege Universitesi, Muhendislik Fakultesi, Bilgisayar Muhendisligi Bolumu)

  • Aybars Ugur

    (Ege Universitesi, Muhendislik Fakultesi, Bilgisayar Muhendisligi Bolumu)

  • Serdar Korukoglu

    (Ege Universitesi, Muhendislik Fakultesi, Bilgisayar Muhendisligi Bolumu)

Abstract

Isletmeler icin insan kaynaklari yonetiminde performans degerlendirmesi, problemin belirsiz ve yetersiz bilgiyle olusturulmasi yuzunden karmasik ve zaman alici bir islemdir. Bu zorluklari ortadan kaldirmak icin yapay sinir aglari, uzman sistemler, bulanik mantik ve genetik algoritmalar gibi yapay zekâ teknikleri kullanilabilir. Bu calismada; bir isletmede calisanlarin yillik performanslarinin degerlendirilmesi icin bir bulanik uzman sistem gelistirilmis ve uygulanmistir. Elde edilen sonuclar, bulanik uzman sistem ile performans degerlendirmenin tutarli ve saglikli oldugunu gostermistir.

Suggested Citation

  • Serkan Balli & Aybars Ugur & Serdar Korukoglu, 2009. "Insan Kaynaklari Yonetiminde Performans Degerlendirme Icin Bir Bulanik Uzman Sistem Gerceklestirimi," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 9(2), pages 837-849.
    • Handle: RePEc:ege:journl:v:9:y:2009:i:2:p:837-849
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    More about this item

    Keywords

    Performans degerlendirme; yapay zekâ; uzman sistem; bulanik mantik; bulanik cikarim;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J29 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Other

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