LOGISTICS PERFORMANCE EVALUATION USING ANALYTICAL NEURAL NETWORK AND CUMULATIVE BELIEF DEGREES

Kabak Ö., ÜLENGİN F., Ekici S. O.

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), Joao Pessoa, Brezilya, 17 - 20 Ağustos 2014, cilt.9, ss.688-693 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 9
  • Basıldığı Şehir: Joao Pessoa
  • Basıldığı Ülke: Brezilya
  • Sayfa Sayıları: ss.688-693
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Logistics plays a vital role in the economies. One of the attempt to measure logistics performance at national level is the Logistics Performance Index (LPI) published by the World Bank Group. In fact this study argues that there is a close relationship between global competitiveness level of a country and its logistics performance level. On this way, it aims to analyze the logistics competitiveness of a country from a national competitiveness perspective using an analytical neural network and cumulative belief degrees approach. LPI and World Economic Forum's competitiveness pillars are used for this purpose. The methodology is used to analyze the Turkey's logistics performance in order to develop suggestions for improving its current level.