ANGIE: Adaptive Network for Granular Information and Evidence Processing
Proceedings of the 5th International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS-2002)
In this paper the possibility of using adaptive networks in fuzzy-evidence-based decision support
systems is considered. The architecture and learning algorithm underlying ANGIE (adaptive network for
granular information processing) is presented. The proposed learning procedure helps in solving a task that can
be related to sensitivity analysis in decision aid models. The proposed adaptive network can be used as a
decision support system or as a tool for determining the significance and contribution of fuzzy features to the
reaching of the desired value of the fuzzy criterion.
adaptive network, information granularity, fuzzy evidences, decision support systems, sensitivity analysis.
Vališevskis, A., Borisovs, A. ANGIE: Adaptive Network for Granular Information and Evidence Processing. No: Proceedings of the 5th International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS-2002), Itālija, Milan, 17.-18. septembris, 2002. Kaufering: b-Quadrat Verlag, 2002, 166.-173.lpp.