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