A methodology to quantify failure for risk-based decision support system in digital business ecosystems

Authors:
Omar Khadeer Hussain;Elizabeth Chang;Farookh Khadeer Hussain;Tharam S. Dillon
Affiliations:
Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia;Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia;Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia;Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth, Australia
Venue:
Data & Knowledge Engineering
Year:
2007

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Abstract

In digital business ecosystem architecture it is rational for the trusting agent to analyse the possible risk according to its demand before interacting with a probable trusted agent. Doing so would assist the trusting agent in its decision process and would also give the trusting agent a hint of the direction in which the interaction might head. The possible risk in an interaction is a combination of the probability of failure and the possible consequences of failure of an interaction. In this paper, we propose a methodology by which the trusting agent determines the probability of failure in interacting with a probable trusted agent. The determined probability of failure by the trusting agent is according to the specific demand of its future interaction with the probable trusted agent.