DocumentCode :
2632349
Title :
A Fuzzy Inference Model for Risk based Informed Decision-Making in e-Business
Author :
Hussain, Omar ; Dillon, Tharam ; Chang, Elizabeth ; Hussain, Farookh
Author_Institution :
Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ. of Technol., Perth, WA, Australia
fYear :
2009
fDate :
19-21 Aug. 2009
Firstpage :
519
Lastpage :
524
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 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.
Keywords :
decision making; electronic commerce; fuzzy reasoning; risk management; Web based ecommerce; decision making; e-business; fuzzy inference model; interaction based decision; interaction experience; risk based informed decision-making; Decision making; Ecosystems; Electronic commerce; Fuzzy neural networks; Fuzzy systems; Information systems; Privacy; Productivity; Risk analysis; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network-Based Information Systems, 2009. NBIS '09. International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4244-4746-6
Electronic_ISBN :
978-0-7695-3767-2
Type :
conf
DOI :
10.1109/NBiS.2009.85
Filename :
5349903
Link To Document :
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