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A fuzzy inference model for risk based informed decision-making in e-business

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Open access
Authors
Hussain, Omar
Dillon, Tharam S.
Chang, Elizabeth
Hussain, Farookh Khadeer
Date
2009
Type
Conference Paper

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Citation
Hussain, Omar and Dillon, Tharam and Chang, Elizabeth and Hussain, Farookh Khadeer. 2009. A fuzzy inference model for risk based informed decision-making in e-business, in Durresi, A. and Barolli, L. and Enokido, T. and Uehara, M. and Shakshuki, E. and Makoto Takizawa (ed), The 12th International Conference on Network-Based Information Systems (NBiS 2009), Aug 19 2009, pp. 519-524. Indianapolis, USA: IEEE Computer Society.
Source Title
Proceedings of the 12th international conference on network-based information systems (NBiS 2009)
Source Conference
The 12th International Conference on Network-Based Information Systems (NBiS 2009)
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Faculty
Curtin Business School
The Digital Ecosystems and Business Intelligence Institute (DEBII)
School
Digital Ecosystems and Business Intelligence Institute (DEBII)
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Abstract

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 its users to complete their tasks by efficient ways, which reduces the duration of their interaction/s and in turn increases 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. In the literature, various approaches have been proposed which a user can consider and utilize while making 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.