DocumentCode
3113906
Title
The post evaluation of construction project based on dominance-based rough set and GRA
Author
Lirong, Jian ; Sifeng, Liu
Author_Institution
Sch. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
1658
Lastpage
1663
Abstract
The post evaluation of construction projects is an important link of the whole project management. The indexes of post evaluation usually include preference information. In the paper, dominance-based rough set and grey relational analysis (GRA) are combined to apply to the process evaluation in the post evaluation of construction projects, and a formal and effective method of post evaluation is proposed. Preferential decision models are induced from the decision tables with preferential information. The effectiveness of the results demonstrates that the inferring preference model is close to the natural reasoning of decision makers, and is comprehensible. The preferential rules derived from examples can provide decision suggestion for the post evaluation of the construction project. Moreover, the relative importance for reduced attributes is wholly compared by grey relational degree, which provide basis with further analysis, such as setting weight and making mathematic models.
Keywords
construction industry; decision making; grey systems; project management; rough set theory; construction project management; decision making; dominance-based rough set theory; grey relational analysis; mathematic model; process evaluation; Financial management; Health and safety; Investments; Mathematical model; Mathematics; Product safety; Production; Project management; Rough sets; Testing; dominance-based rough set; grey relational analysis; preference attribute decision tables; the post evaluation of construction project;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location
Singapore
ISSN
1062-922X
Print_ISBN
978-1-4244-2383-5
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2008.4811526
Filename
4811526
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