An artificial neural network approach to multicriteria model selection

Ulengin F., Topcu Y. İ., Sahin S.

MULTIPLE CRITERIA DECISION MAKING IN THE NEW MILLENNIUM, cilt.507, ss.101-110, 2001 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 507
  • Basım Tarihi: 2001
  • Dergi Adı: MULTIPLE CRITERIA DECISION MAKING IN THE NEW MILLENNIUM
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, zbMATH
  • Sayfa Sayıları: ss.101-110
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

This paper presents an intelligent decision support system based on neural network technology for multicriteria model selection. This paper categorizes the problem as simple, utility / value, interactive and outranking type of problem according to six basic features. The classification of the problem is realized based on a two-step neural network analysis applying back-propagation algorithm. The first Artificial Neural Network (ANN) model that is used for the selection of an appropriate solving method cluster consists of one hidden layer. The six input neurons of the model represent the MCDM problem features while the two output neurons represent the four MCDM categories. The second ANN model is used for the selection of a specific method within the selected cluster.