A Modular Fuzzy Expert System Architecture for Data and Event Streams Processing

Jean-Philippe Poli (1) , Laurence Boudet (1)

1 LI3A (CEA, LIST) - Intelligence Artificielle et Apprentissage Automatique (CEA, LIST)

In many decision making scenarios, fuzzy expert systems have been useful to deduce a more conceptual knowledge from data. With the emergence of the Internet of Things and the growing presence of cloud-based architectures, it is necessary to improve fuzzy expert systems to support higher level operators, large rule bases and an abundant flow of inputs. In this paper, we present a modular fuzzy expert system which takes data or event streams in input and which outputs decisions on the fly. Its architecture relies on both a graph-based representation of the rule base and the cooperation of four customizable modules. Stress tests regarding the number of rules have been carried out to characterize its efficiency.

Mots clés: cooperation; rule base; fuzzy expert; decision making system; artificial intelligence; Internet of Things; rules; event streams; output decisions on the fly; machine learning; fuzzy logic; Online learning

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Informatique ubiquitaire; Topologie algébrique [math.AT]

Jean-Philippe Poli, Laurence Boudet. A Modular Fuzzy Expert System Architecture for Data and Event Streams Processing. 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - IPMU 2016, Jun 2016, Eindhoven, Netherlands. pp 717-728, ⟨10.1007/978-3-319-40581-0_58⟩. ⟨hal-01891785⟩