Exploration and belief network representation of association rules between noise event sets for single flight

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Exploration and belief network representation of association rules between noise event sets for single flight

XU Tao,YANG Tingting,XIE Jiwen

(a. College of Computer Science and Technology;b. Information Technology Research Base,CAUC,Tianjin 300300,China)

Received:2014-12-29 Revised:2015-03-19 Online:2016-02-20 Published:2016-04-13

Abstract

Abstract:

Exploration of the relation ship between factors and airport noises can help airport operators adopt effective noise reduction measures. FP-growth-cube algorithm is used to find the association rules between noise and factors.The association rules are represented in the form of belief network. The representation of association rules is intuitive and clear,which can overcome the weakness of association rules,which can not express all airport noise influencial factors synthetically. Experimental results prove the feasibility and effectiveness of the method from the viewpoint of one noise reduction measure-aircraft type selection.

Key words: noise event for single flight, association rules, belief network, FP-Growth-Cube algorithm

CLC Number:

XU Tao,YANG Tingting,XIE Jiwen. Exploration and belief network representation of association rules between noise event sets for single flight[J]. .

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