Data-Driven Dynamic Multi-Criteria Decision Making via Learning of Fuzzy Cognitive Maps

Baykasoğlu A.

The 3rd International Conference on Advanced Intelligent Technologies(ICAIT2022), Beijing, Çin, 29 - 31 Aralık 2022, ss.1

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: Beijing
  • Basıldığı Ülke: Çin
  • Sayfa Sayıları: ss.1
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

A novel data-driven dynamic Multi-Criteria Decision Making (MADM) model that has been recently proposed by the author will be presented in this invited talk. The newly developed MADM approach employs metaheuristic algorithms (Weighted Superposition Attraction “WSA” algorithm in the present implementation) for training Fuzzy Cognitive Maps (FCMs) for facilitating learning from the past data in a dynamic multiple criteria decision-making scenario. The trained FCM is utilized in order to forecast future performance scores of decision alternatives by incorporating present subjective evaluations of decision makers. The application of the proposed approach is also presented trough an illustrative example.