Earticle

초록

영어

According to the fussy of evaluating index and the uncertainty of evaluating information in flight area, systems thinking tool of complex science management theory - explore graph, is used to construct the fight area risk evaluation index system. And a fight area risk early-warning model based on information entropy attribute reduction and multi-layer BP neural network is proposed. First rough set and information entropy are combined, based on information entropy attribute reduction algorithm, the reduced index information are got. Then based on the multi-layer BP network, the data collected from the flight area was intelligent reasoned and analyzed and evaluated. An example analysis by MATLAB shows that the method is feasible, and it provides support for venture investment project risk management evaluation method.

목차

Abstract
 1. Introduction
 2. Risk Early-Warning Index System in Airport Flight Area based on Exploring Graph
 3. Risk Early-Warning Model in Airport Flight Area based on Information Entropy Attribute Reduction-BPNN
  3.1 Attribute Reduction Algorithm based on Information Entropy
  3.2 Multi- BP Algorithm
  3.3 Operation Process of Decision-making Model
 4. Simulation Test
 5. Summary
 Acknowledgments
 References

키워드

저자

• Li Shi [ School of management, Wuhan University of Technology, Wuhan 430070, China, School of Information Management, Hubei University of Economics, Wuhan 430205, China ]
• Fan Luo [ School of management, Wuhan University of Technology, Wuhan 430070, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605