A MULTI-LEVEL FUZZY LOGIC SCHEME FOR MODELING COMPLEX PROBLEMS

Abstract : In this paper, we propose to exte nd traditional Fuzzy Logic(FL) techniques by creating a second set of inference rules (and the corresponding inference mechanism) in order to effectively produce results exploitable by decision makers. We present a formal definition of a multi-level FL scheme and its application in the development of: i) a break-even inference machine and ii) a legal argumentation system. The proposed scheme is shown to beuseful in modeling systems where intermediary fuzzy concepts come to play, and it could be applied in several problems analog to the ones presented in this study.
Type de document :
Communication dans un congrès
Artificial Intelligence Driven Solutions to Business and Engineering Problems, 2012, Rzeszow, Poland. pp.54, 2012
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01095396
Contributeur : Regina Ticona <>
Soumis le : lundi 15 décembre 2014 - 15:25:15
Dernière modification le : vendredi 27 juillet 2018 - 11:16:03

Identifiants

  • HAL Id : hal-01095396, version 1

Collections

Citation

Regina Ticona Herrera, July Banda-Tapia, Dennis Barrios-Aranibar, Joe Tekli, Richard Chbeir. A MULTI-LEVEL FUZZY LOGIC SCHEME FOR MODELING COMPLEX PROBLEMS. Artificial Intelligence Driven Solutions to Business and Engineering Problems, 2012, Rzeszow, Poland. pp.54, 2012. 〈hal-01095396〉

Partager

Métriques

Consultations de la notice

62