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Beijing, China

Liu X.-C.,Unit 95899 | Zhu L.-S.,Unit 95899 | Zhang W.,Unit 92857
Binggong Xuebao/Acta Armamentarii | Year: 2013

A new fuzzy inference-based wartime spares demand forecasting method is presented for the uncertainty and stage-relativity of the spares demand during multi-stage war, in which expert forecasting value and Markov forecasting value are combined. The result is obtained according to the Mamdani-style inference mechanism and defuzzification. The fuzzy set of demand is defined by linguistic variable naturally, which is introduced in Markov forecasting to describe the system state directly. The validity of the method is illustrated by an example. Source

Li N.,PLA Air Force Aviation University | Liu Y.,Unit 95899 | Liu Z.-X.,PLA Air Force Aviation University | Feng K.-S.,PLA Air Force Aviation University | Meng Q.-W.,PLA Air Force Aviation University
2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014 | Year: 2014

A new modified mathematics model is proposed based on fuzzy mathematics theory and adaptive weighted algorithm aimed at how to analyze the influence on communication network security. The proposed model is associated with the attention degree on security defense is executed. In the proposed model, the communication network security threat, communication network attack approach, network security character and network security counter character are quantified, and influence on communication network security on the condition of security defense is carried out effectively is analyzed quantificational and is modeled. The effectiveness of the algorithm is proved by the simulation results. © 2014 IEEE. Source

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