Abstract for “Evaluating and Selecting Business Intelligence Systems by a Fuzzy Weighted

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Abstract for “Evaluating and
Selecting Business Intelligence
Systems by a Fuzzy Weighted
Average Approach”
Graduate Student: Nguyen Phan Anh Huy
研究生: 阮潘英輝
Student ID : M987Z264
• Keywords: Business Intelligence, Business Intelligence Systems,
Fuzzy Weighted Average, Centroid Ranking.
• Business intelligence is a managerial concept which helps managers
to manage their organization and make strategic decisions for their
business. In this digital age, the functions of information technology
(IT) are becoming more and more important. Business intelligence
system (BIS) is one of the survivals of the company. Evaluating and
selecting a suitable business intelligence system are the critical
strategic decisions in formulating business strategy. This study
introduces the fuzzy weighted average approach to evaluate and
select the suitable business intelligence system in order to help the
company to increase many benefits. The combination of qualitative
and quantitative criteria is adopted in this method to make right
decision when choosing a business intelligence system. The centroid
ranking method from Wang et al. (2006) is applied to rank all the
final fuzzy evaluation values from the provided model. A numerical
example is used to test the model. The proposed model can help
companies to evaluate business intelligence systems and select their
best systems to support the business.
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