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) 2002
Aleksandrs Vališevskis, Arkādijs Borisovs

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.

Atslēgas vārdi
adaptive network, information granularity, fuzzy evidences, decision support systems, sensitivity analysis.
Hipersaite
http://alephfiles.rtu.lv/TUA01/000022343_e.pdf

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.

Publikācijas valoda
English (en)