DocumentCode
1912398
Title
Decision-Making on Bidding Alliance Partner for BOT Projects Based on Entropy Weight and Matter-Element Relative Analysis
Author
Yu, Yonghe ; Ma, Weimin ; Li, Suyan ; Li, Guo
Author_Institution
Sch. of Econ. & Manage., Tongji Univ., Shanghai, China
Volume
4
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
380
Lastpage
383
Abstract
Decision-making on bidding alliance partner is a complex multi-objective problem, and the result will directly affect the winning of BOT projects bidding. First the problem of bidding alliance partner decision-making is analyzed and operation process of bidding alliance is mainly described. Then multi-objective model of bidding alliance partner decision-making is established. As to specific tasks, entropy weight and matter-element relative analysis are put forward to optimize and solve this model. Information entropy is used to determine weights of factors, which avoids results influenced by subjective factors. Matter-element relative analysis can not only calculate the grade level of overall alliance partners, but also determine the main factors´ grade level. Therefore, this method can help the alliance leader to select the proper and powerful alliance partner and form BOT bidding alliance. Finally the case indicates the method is feasible and has certain practical significance.
Keywords
decision making; operations research; project management; BOT project; Information entropy; bidding alliance partner; complex multiobjective problem; decision-making; entropy weight; matter-element relative analysis; Automation; Conference management; Decision making; Information analysis; Information entropy; Optimization methods; Power generation economics; Project management; Technology management; Urban planning; BOT project; bidding alliance; information entropy; matter element relative analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.806
Filename
5288302
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