DocumentCode
3192232
Title
An Entropy-Weight-Based TOPSIS Method to Bidding Appraisal for EPC Projects
Author
Cui Herui ; Liang Lihua
Author_Institution
Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding, China
Volume
1
fYear
2010
fDate
11-12 May 2010
Firstpage
514
Lastpage
517
Abstract
In the process of EPC projects bidding and tendering, the most effective way to eliminate unfair competition is to examine the qualifications of tenders and to evaluate the biddings. Bidding appraisal plays a key role in the EPC projects, which will directly affect the results of the investment projects. Evaluation method is a key factor for an objective and correct evaluation. There are traditional methods of risk analysis such as survey and experts´ points, net present value (NPV), analytic hierarchy process (AHP), RBF Neural Network, sensitivity analysis, etc. However, traditional evaluation methods of bidding have the defect of determining the weights, merely according to the subjective judgments of experts or decision makers. In this paper, an entropy-weight-based TOPSIS method is proposed to decide the weights. According to our method, the weight coefficients in TOPSIS method are given by means of entropy coefficient. Our method has the advantages of combining experts´ subjective opinions with objective situations and the combining quantitative analyses with qualitative analyses. The proposed method is applied to evaluate information system integration solutions and numerical illustrations proved the effectiveness of our method.
Keywords
decision making; entropy; information systems; project management; risk analysis; EPC project; RBF neural network; analytic hierarchy process; bidding appraisal process; engineer-procure-construct model; entropy coefficient; entropy-weight-based TOPSIS method; evaluation method; information system; net present value; qualitative analyses; quantitative analyses; risk analysis; sensitivity analysis; Appraisal; Conference management; Contracts; Energy management; Investments; Power generation economics; Project management; Qualifications; Risk analysis; Technology management; Bidding appraisal; Entropy weight; RPC construction project; TOPSIS;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.147
Filename
5522718
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