An Approach to Building Decision Support Systems Based on an Ontology Service
Modern decision support systems (DSSs) need components for storing knowledge. Moreover, DSSs must support fuzzy inference to work with uncertainty. Ontologies are designed to represent knowledge of complex structures and to perform inference tasks. Developers must use the OWLAPI and SWRL API librari...
Guardado en:
Autores principales: | Anton Romanov, Julia Stroeva, Aleksey Filippov, Nadezhda Yarushkina |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4306f5e2a1c54326a4a548506fad5ec5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Modeling the Context of the Problem Domain of Time Series with Type-2 Fuzzy Sets
por: Anton A. Romanov, et al.
Publicado: (2021) -
GPS Data Correction Based on Fuzzy Logic for Tracking Land Vehicles
por: Pedro J. Correa-Caicedo, et al.
Publicado: (2021) -
FUZZY INFERENCE SYSTEMS BASE ON POLYNOMIAL CONSEQUENTS OF FUZZY RULES
por: R. Ponomarenko, et al.
Publicado: (2020) -
An overview of data envelopment analysis models in fuzzy stochastic environments
por: Fatemeh Zahra Montazeri
Publicado: (2020) -
An Integrated Picture Fuzzy Set with TOPSIS-AHP Approach to Group Decision-Making in Policymaking under Uncertainty
por: Long Cu Kim, et al.
Publicado: (2021)