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A Fuzzy Inference Model for Risk based Informed Decision-Making in e-Business

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4 Author(s)
Omar Hussain ; Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ. of Technol., Perth, WA, Australia ; Tharam Dillon ; Elizabeth Chang ; Farookh Hussain

Since its invention, the web has considerably advanced and it now provides its users with sophisticated technologies and processes for facilitating interactions. This has enabled users to complete their tasks by efficient ways and in turn increase their productivity. But in such an environment, it is imperative for a user to make informed decisions in a proactive way by which it can achieve its aims and maximize its interaction experience. To achieve that, various approaches have been proposed by which a user can make an interaction-based decision in web-based ecommerce. But at the same time the notion of risk has been considerably ignored in that domain; even though it has been mentioned in the literature that risk plays an important part while decision-making in any domain. So in order to have such an analysis of risk while decision-making, in this paper we highlight the importance of risk and then propose a fuzzy inference model for assisting risk-based decision making in e-commerce business interactions.

Published in:

2009 International Conference on Network-Based Information Systems

Date of Conference:

19-21 Aug. 2009