Using Granular-Evidence-Based Adaptive Networks for Sensitivity Analysis

2002
Aleksandrs Vališevskis

This paper considers the possibility of using adaptive networks for sensitivity analysis. Adaptive network that processes fuzzy granules is described. The adaptive network training algorithm can be used for sensitivity analysis of decision making models. Furthermore, a case study concerning sensitivity analysis is described, which shows in what way the adaptive network can be used for sensitivity analysis.

Atslēgas vārdi
information granularity, sensitivity analysis, adaptive networks, decision support systems

Vališevskis, A. Using Granular-Evidence-Based Adaptive Networks for Sensitivity Analysis. Informācijas tehnoloģija un vadības zinātne. Nr.10, 2002, 150.-155.lpp. ISSN 1407-7493.

Publikācijas valoda
English (en)