DocumentCode
3458914
Title
Priority Assessing Method for Aviation Multi-Project Based on Fuzzy Comprehensive Evaluation
Author
Yu, Jianfeng ; Zhang, Jie ; Li, Yuan
Author_Institution
Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xi´´an
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
5
Abstract
To support the decision-making on coordination process for aviation projects, a multi-project priority assessing method based on fuzzy comprehensive evaluation is presented. A bi-layered hierarchy model is introduced to determine the set of factors for priority assessment at first. Then the weight of each involved factor is calculated through analytic hierarchy process (AHP), which merges human experts´ know-how into the computation. On the other hand, the fuzzy weighted average operator is chosen and improved to maintain the information completeness covered by those inner and outer factors. Based on the weight and operator, the matrix for priority comprehensive evaluation is constructed following the two-step fuzzy operation strategy, by which the project precedence is obtained. Finally, algorithm verification based on two aircraft assembly projects is carried out step by step, proving the effectiveness of the method.
Keywords
aerospace industry; decision making; fuzzy set theory; operations research; project management; analytic hierarchy process; aviation multi-project; bilayered hierarchy model; coordination process; decision-making; fuzzy comprehensive evaluation; fuzzy weighted average operator; priority assessing method; Aircraft; Decision making; Educational technology; Fuzzy logic; Fuzzy sets; Humans; Laboratories; Manufacturing processes; Project management; Proposals;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.1825
Filename
4680014
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