Abstract
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 language | English |
|---|---|
| Pages (from-to) | 607-614 |
| Number of pages | 8 |
| Journal | Journal of Advanced Computational Intelligence and Intelligent Informatics |
| Volume | 9 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Nov 2005 |
| Externally published | Yes |
Keywords
- decision making
- incomplete comparison
- neural networks
- preference assessment
Fingerprint
Dive into the research topics of 'SONIA-Based Decision Neural Network for Preference Assessment with Incomplete Comparisons'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver