DocumentCode :
3513280
Title :
Evaluation of military aircraft support plan based on fuzzy analytic network process in development phase
Author :
Qu, Lili ; Kang, Rui ; Cheng, Hailong ; Zhang, Zhenying
Author_Institution :
Dept. of Syst. Eng., Beihang Univ., Beijing, China
fYear :
2009
fDate :
20-24 July 2009
Firstpage :
571
Lastpage :
575
Abstract :
Evaluation of military aircraft support plan has a significant impact on the efficiency of aircraft system. In order to solve the problem that support plan evaluation has many defects in angles and methods in previous studies, the evaluation model based on fuzzy analytical network process (FANP) is presented. Firstly, support system characteristics are abstracted to determine evaluation elements (or clusters) of military aircraft support plan. Secondly, Analytical network process is used to describe relationships between two elements (or clusters) and compare their relative importance. Triangular fuzzy number is parameterized linguistic variables to handle with the vagueness and subjectivity of pairwise comparisons in a fuzzy environment. Two methods are synthesized to obtain final priority ranking of alternatives. Finally, evaluating certain type aircraft support plan is given as an example, and feasibility and validity of model are verified. It could provide an excellent decision supporting for defense industrial sectors to evaluate military aircraft support plans.
Keywords :
fuzzy set theory; military aircraft; defense industrial sectors; development phase; fuzzy analytic network process; military aircraft support plan; triangular fuzzy number; Aerospace engineering; Aerospace materials; Delay; Electronic mail; Feedback; Fuzzy logic; Fuzzy systems; Military aircraft; Personnel; Systems engineering and theory; evaluation; fuzzy analytical network process (FANP); military aircraft support plan;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4903-3
Electronic_ISBN :
978-1-4244-4905-7
Type :
conf
DOI :
10.1109/ICRMS.2009.5270124
Filename :
5270124
Link To Document :
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