Damage assessment of the target area of the island/reef under the attack of missile warhead

Under the background of vigorously developing facilities of island/reef in the world, the economic value and strategic significance of the island/reef have become increasingly important. Unfortunately, they may easily become the attacking target of missiles in the war time. Therefore, aiming at the damage quantification of the targets in the island/reef under the missile attacking, a macroscopic damage assessment model for the target area is proposed in this paper. The model focuses on the construction of the assessment model framework. Firstly, the analytic hierarchy process and the grey relational analysis are applied to measure the importance of each target in the region through four indicators of the target hazard, striking urgency, damage advantage and mission relevance, respectively. Secondly, based on the damage mechanism of shock wave and fragments to target, the corresponding damage model is established, and the damage grade of each target in the evaluated area is obtained according to the damage criteria and grading standard. Finally, the model obtains the overall damage grade of the target area by employing the fuzzy comprehensive evaluation method, with synthesizing the importance and the damage grade of each target. Through the verification of an example, it demonstrates the certain feasibility of the model and provides a certain basis and reference for the subsequent research.     

Maximizing deviation method for multiple attribute decision making under q-rung orthopair fuzzy environment

Because of the uncertainty and subjectivity of decision makers in the complex decision-making environment, the evaluation information of alternatives given by decision makers is often fuzzy and uncertain. As a generalization of intuitionistic fuzzy set (IFSs) and Pythagoras fuzzy set (PFSs), q-rung orthopair fuzzy set (q-ROFS) is more suitable for expressing fuzzy and uncertain information. But, in actual multiple attribute decision making (MADM) problems, the weights of DMs and attributes are always completely unknown or partly known, to date, the maximizing deviation method is a good tool to deal with such issues. Thus, combine the q-ROFS and conventional maximizing deviation method, we will study the maximizing deviation method under q-ROFSs and q-RIVOFSs in this paper. Firstly, we briefly introduce the basic concept of q-rung orthopair fuzzy sets (q-ROFSs) and q-rung interval-valued orthopair fuzzy sets (q-RIVOFSs). Then, combine the maximizing deviation method with q-rung orthopair fuzzy information, we establish two new decision making models. On this basis, the proposed models are applied to MADM problems with q-rung orthopair fuzzy information. Compared with existing methods, the effectiveness and superiority of the new model are analyzed. This method can effectively solve the MADM problem whose decision information is represented by q-rung orthopair fuzzy numbers (q-ROFNs) and whose attributes are incomplete.     

高超声速伸缩翼变形飞行器轨迹多目标优化

针对高超声速条件下变形技术的应用模式,对具有伸缩翼的组合式飞行器滑翔弹道进行了多目标优化研究。介绍了伸缩翼的变形模式,给出了不同变形状态下的气动特性;建立了三自由度滑翔轨迹动力学模型和伸缩翼前缘热流计算模型;采用MOEA/D多目标优化算法,以变形条件和飞行攻角为设计变量、以最大射程和最小翼前缘总吸热量为目标函数,进行了多目标优化计算。优化结果表明,MOEA/D计算得到了相对均匀分布的Pareto最优解集,将伸缩翼外形与无变形外形相比,飞行器滑翔段射程得到了显著提高,同时伸缩翼前缘总吸热量有明显的降低。     

Optimal allocation of minimal repairs in parallel and series systems

In reliability engineering, the concept of minimal repair describes that the repair brings the failed unit (eg, system or component) to the situation which is same as it was just before the failure. With the help of the well‐known Gamma‐Poisson relationship, this paper investigates optimal allocation strategies of minimal repairs for parallel and series systems through implementing stochastic comparisons of various allocation policies in terms of the hazard rate, the reversed hazard rate, and the likelihood ratio orderings. Numerical examples are presented to illustrate these findings as well. These results not only strengthen and generalize some known ones in the seminal work of Shaked and Shanthikumar, but also solve the open problems proposed by Chahkandi et al.'s study and Arriaza et al.'s study.     

Supply chain coordination with product line design and a revenue sharing scheme

Many manufacturers sell their products through retailers and share the revenue with those retailers. Given this phenomenon, we build a stylized model to investigate the role of revenue sharing schemes in supply chain coordination and product variety decisions. In our model, a monopolistic manufacturer serves two segments of consumers, which are distinguished by their willingness to pay for quality. In the scenario with exogenous revenue sharing ratios, when the potential gain from serving the low segment is substantial (e.g., the low‐segment consumers' willingness to pay is high enough or the low segment takes a large enough proportion of the market), the retailer is better off abandoning the revenue sharing scheme. Moreover, when the potential gain from serving the low (high) segment is substantial enough, the manufacturer finds it profitable to offer a single product. Furthermore, when revenue sharing ratios are endogenous, we divide our analysis into two cases, depending on the methods of cooperation. When revenue sharing ratios are negotiated at the very beginning, the decentralized supply chain causes further distortion. This suggests that the central premise of revenue sharing—the coordination of supply chains—may be undermined if supply chain parties meticulously bargain over it.     

适用于北斗混合星座的相对定位随机模型建模策略

为提高模糊度解算成功率和基线解精度,提出适用于北斗的相对定位随机模型建模策略,即混合随机建模策略。采用最小二乘方差分量估计方法对北斗单差观测量方差进行估计。对处于不同高度的三轨道卫星观测量方差分别建模:对地球静止轨道卫星观测量方差采用载噪比模型建模,对倾斜地球同步轨道卫星和中地球轨道卫星观测量方差均采用仰角模型建模。根据不同模型实时组建观测量的随机模型。试验结果表明:相比于采用传统简化模型和单一的仰角或载噪比模型,混合随机模型能更加真实地反映不同卫星观测量的随机噪声特性,模糊度解算成功率和相对定位精度均有提高,总体性能最优,因而能更好地适用于北斗系统。     

区块链在分队战术协同中的应用构想

从战术分队角度出发,探讨了区块链技术在作战实体之间的信息交互及智能协同方面的应用设想,分析了战术分队信息交互的相关技术及面临的挑战,阐述了区块链在未来战术分队指挥体系构建中的发展构想。     

基于层次分析法的军校学员体能训练评估

针对目前军校学员军事体育训练评估难以量化考核的问题,提出了基于层次分析法的军校学员体能训练评估方法。首先,通过建立评估指标体系,构建评估指标判断矩阵;其次,进行归一化并计算指标组合权重,构建评估基本模型;最后,利用评估模型对学员体能训练进行综合评估。结果表明本文提出的方法能够对军校学员体能训练进行有效评估,相比于传统考核评估方法更能反映出学员体能的真实状况,突出学员体能特征,开展针对性训练。      

大型相控阵雷达系统安全性综合评价

针对大型相控阵雷达系统安全性因素多、评价困难的特点,分析并建立了大型相控阵雷达系统安全评价指标体系。提出了一种基于改进模糊层次分析法、熵权法和拉格朗日算法确定综合权重的方法,并建立了雷达系统安全性模糊综合评价模型。以某型大型相控阵雷达系统的安全性评价为例,运用所提方法确定该雷达系统的安全性指标综合权重,并进行安全性综合评价。将该方法与传统AHP评价法进行对比分析,验证了该方法的科学性和合理性。     

阵列雷达自适应多零点单脉冲群目标测角算法

针对阵列体制雷达,由极大似然估计导出自适应多零点单脉冲测角原理。分析发现迭代步长过大导致双零点单脉冲技术在多目标条件下失效,因此提出加权步长改进角度估计的迭代过程,只需要较少计算量就能实现群内多个目标的精确测角。仿真结果表明：该算法在较高信噪比条件下可以精确测量群内三个目标角度,测角误差约为0.15倍波束宽度;当群目标数较多或者目标相位差接近于0时,算法性能下降明显。