SONIA-Based Decision Neural Network for Preference Assessment with Incomplete Comparisons

Muhammad R. Widyanto, Kazuhiko Kawamoto, Benyamin Kusumoputro, Kaoru Hirota

Research output: Contribution to journalArticlepeer-review


To deal with the problem of incomplete comparisons in decision maker preference assessment, a SONIA (Self-Organized Network inspired by Immune Algorithm)based Decision Neural Network (DNN) is proposed. B cell mutation of SONIA creates hidden units having diverse data characteristics that improve generalization capability. This mutation deals with a limited number of training data resulting from incomplete pairwise comparisons by decision maker. Experiments on linear, Euclidean, and Lp-metric function as underlying decision maker preference show that SONIA-based DNN outperforms conventional DNN for decision maker preference assessment with incomplete comparisons.

Original languageEnglish
Pages (from-to)607-614
Number of pages8
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Issue number6
Publication statusPublished - Nov 2005


  • decision making
  • incomplete comparison
  • neural networks
  • preference assessment


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