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.     

Coordination as showcasing: the establishment of Norway’s Afghanistan Forum

In complex operations such as the interventions in Iraq and Afghanistan, where multiple government ministries are involved in putting together a state’s contributions, the use of national-level coordination bodies has become more widespread. Research has taken for granted that the rationale behind these bodies reflects their declared aim – enhanced coordination as a means to improve mission effectiveness. However, they appear to have had modest effect on coordination. That notwithstanding, they seem to remain popular. This prompts us to ask why such bodies are actually established. This article – based on in-depth interviews and archival records – critically explores the establishment of Norway’s ad hoc, inter-ministerial, political-level Afghanistan Forum. Distinguishing between a structural-instrumental, a cultural-institutional and an environmental perspective from organizational theory to structure the analysis, this article shows that the declared purpose of the forum, inter-ministerial coordination, proved less important than showcasing coordination efforts and keeping the coalition together. In addition, national traditions in handling coordination challenges in the central government apparatus and powerful international reforms helped bring the forum about. This has implications for research on the rationale and effectiveness of these bodies, and also for understanding their policy relevance.     

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。     

模糊变权法在通信保障能力评估中的应用

分析了通信保障应注重提高的六种能力,给出了运用模糊变权法求变化权重的方法,并通过示例计算进行分析,得出结论,为通信保障能力评估提供了一定的理论依据。     

基于神经网络的模糊理论在桥梁状态评估中的应用

探讨了模糊数学中的隶属函数在桥梁技术等级状态评估中的应用.在研究现有桥梁状态评估方法的基础上,把人工神经网络和模糊数学理论结合起来应用于大跨度预应力斜拉桥的等级状态评估,建立了基于三层神经元的模糊神经网络模型,并建立结构损伤度函数及等级隶属度模型,通过样本学习训练,获取评估专家的知识及直觉思维,最终确定桥梁所对应的技术状态等级.以检测的480组索力数据作为学习样本,另外4组作为验证样本进行了索力状态评估预测.计算结果表明,网络预测值与期望值吻合良好.     

模糊时滞系统控制器依赖于状态时滞的H∞控制

针对一类非线性时滞系统,研究了该系统基于T—S模糊模型的H∞控制器设计问题。采用线性矩阵不等式LMI的方法,设计一个依赖于状态时滞的模糊控制器,得到了系统存在模糊控制器的充分条件,此充分条件等价于一类线性矩阵不等式的可解性,最后通过仿真说明了控制器的有效性。     

基于模糊事件的入侵检测模型

对模糊入侵事件进行了描述,分析了模糊入侵事件间的相似性,提出了基于模糊ECA规则的入侵检测知识表示方法,并阐述了模糊ECA规则的分析过程,以解决入侵行为的不确定性。     

非线性时滞系统模糊控制的一种新方法

针对一类状态变量具有时滞的非线性系统,研究了其模糊控制器的设计问题。采用线性矩阵不等式（LMI）的方法,设计了与状态变量导数有关的模糊控制器,得到了系统存在模糊控制器的充分条件,并利用线性矩阵不等式的解给出具体的形式,最后通过仿真说明了控制器的有效性。     

双枝模糊评判在舰炮性能评估中的应用*

针对舰炮武器性能指标,运用双枝模糊决策方法对舰炮武器性能进行综合评估.该方法提出了新的论域[-1,1],使评估更能符合人的思维逻辑,能够客观的对舰炮性能进行评估,通过对多中舰炮的具体参数指标进评估,得出各种舰炮的性能优劣的排序,具体的数学模型仿真表明,对舰炮武器性能的评估是行之有效的.