Authors:
Alessandro Buoni
1
and
Mario Fedrizzi
2
Affiliations:
1
Turku Centre for Computer Science, Finland
;
2
University of Trento, Italy
Keyword(s):
Fraud detection, Attack tree, Consensus, Choquet integral.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Computational Intelligence
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Expert Systems
;
Fuzzy Systems
;
Health Information Systems
;
Human-Computer Interaction
;
Intelligent User Interfaces
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
In this paper we extend two modules of the multi-agent system FIDES (Fraud Interactive Detection Expert System) previously introduced in Buoni et al. (2011), and involving the attack tree representation of fraudulent attacks. First, assuming that the opinions of experts involved in the design of the attack tree are represented by fuzzy preference relations, we introduce a dynamical consensus model aiming at finding a shared representation of the attack tree. Second, assuming that the leaf nodes of the attack tree are attribute fuzzy numbers valued and that the attributes are interdependent, we show how to propagate the values up the tree through an aggregation process based on Choquet integral.