舰艇编队协同作战的空中目标威胁评估研究

从系统分析舰艇编队协同作战的空中目标威胁评估问题入手,深入研究了协同作战环境下编队空中目标威胁评估的基本过程。在此基础上,针对编队协同决策的特点,建立了基于两层决策的协同作战环境下编队空中目标威胁评估模型,从而提出了舰艇编队协同作战的空中目标威胁评估方法。最后,通过实例说明了所提方法的有效性。     

基于TOPSIS的战区高层反导威胁评估

在分析战区高层反导威胁评估特点的基础上,建立了以来袭TBM发射点、预测落点、射程等为核心的战区高层反导威胁评估模型指标体系并进行了相应的量化,然后利用基于熵值权重确定的TOPSIS理论对模型进行求解。通过实例证明所提出的战区高层反导威胁评估模型和算法的有效性,对研究美军的战区高层反导武器系统具有一定的借鉴意义。     

模糊偏序关系的一种信息集成方法

以模糊超过关系、模糊不协调关系为例,就模糊偏序关系给出了一种基于分组加权极大(极小)算子的信息集成方法,讨论了该方法的一致性、非独裁性等性质.     

哈萨克族、汉族、维吾尔族大学生对不同群体的态度差异

本研究希望基于一种平等的、双向度的视角，分别从不同民族的视角探讨本民族成员与其他民族成员的社会距离。采用修订的社会距离问卷对54名哈萨克族、195名汉族和234名维吾尔族大学生进行调查。结果表明，不论是汉族，还是哈萨克族和维吾尔族都表现出内群体偏好，愿意与本民族成员发生亲密的社会交往；哈萨克族与维吾尔族间的社会交往要显著亲密于哈萨克族与回族、蒙古族和藏族间的社会交往。     

具有模糊偏好认知矩阵的超对策稳定性分析

针对一类具有模糊偏好认知矩阵的超对策问题,给出了具体的稳定性分析方法。基于相对模糊距离的概念和模糊有序加权平均(FOWA)算子提出了三角模糊互补判断矩阵的一种排序方法。由此方法得到局中人的结局偏好认知向量,进而给出了一阶超对策的稳定性分析过程。最后,以实际冲突为例说明这一方法。     

Capacity investment decisions under risk aversion

This article studies the optimal capacity investment problem for a risk‐averse decision maker. The capacity can be either purchased or salvaged, whereas both involve a fixed cost and a proportional cost/revenue. We incorporate risk preference and use a consumption model to capture the decision maker's risk sensitivity in a multiperiod capacity investment model. We show that, in each period, capacity and consumption decisions can be separately determined. In addition, we characterize the structure of the optimal capacity strategy. When the parameters are stationary, we present certain conditions under which the optimal capacity strategy could be easily characterized by a static two‐sided (s, S) policy, whereby, the capacity is determined only at the beginning of period one, and held constant during the entire planning horizon. It is purchased up to B when the initial capacity is below b, salvaged down to Σ when it is above σ, and remains constant otherwise. Numerical tests are presented to investigate the impact of demand volatility on the optimal capacity strategy. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 218–235, 2016     

Balancing stability and efficiency in team formation as a generalized roommate problem

The assignment of personnel to teams is a fundamental managerial function typically involving several objectives and a variety of idiosyncratic practical constraints. Despite the prevalence of this task in practice, the process is seldom approached as an optimization problem over the reported preferences of all agents. This is due in part to the underlying computational complexity that occurs when intra-team interpersonal interactions are taken into consideration, and also due to game-theoretic considerations, when those taking part in the process are self-interested agents. Variants of this fundamental decision problem arise in a number of settings, including, for example, human resources and project management, military platooning, ride sharing, data clustering, and in assigning students to group projects. In this article, we study an analytical approach to “team formation” focused on the interplay between two of the most common objectives considered in the related literature: economic efficiency (i.e., the maximization of social welfare) and game-theoretic stability (e.g., finding a core solution when one exists). With a weighted objective across these two goals, the problem is modeled as a bi-level binary optimization problem, and transformed into a single-level, exponentially sized binary integer program. We then devise a branch-cut-and-price algorithm and demonstrate its efficacy through an extensive set of simulations, with favorable comparisons to other algorithms from the literature.     

基于乘积偏好关系的专家模糊核聚类赋权方法

多属性、多目标性决策中,针对专家给出各方案偏好关系下的决策问题,提出一种基于乘积偏好关系的专家模糊核聚类赋权方法。该方法运用模糊核聚类的思想实现对决策专家的聚类,并通过放宽归一化约束条件,克服了传统模糊核聚类算法中离群点对聚类结果的影响。同时,在专家类内赋权过程中,运用CI-IOWG算子集结同类专家的意见,依据不同专家对于形成类别一致性意见的贡献程度来确定专家权重;克服了传统基于熵权或判断矩阵一致性的赋权方法的局限性。算例表明,该方法可行、有效。     

融合空间偏好和语义的个体活动识别方法

个体活动识别对用户画像、个性化推荐、异常行为检测、群体行为分析和基于活动的资源配置优化具有重要价值。提出了一种基于稀疏的社交媒体签到数据的个体活动语义识别方法,从签到数据中提取活动行为的时间周期性和趋势性特征,并采用空间偏好量化算法,从个体与群体活动的空间关联中提取群体和个体的空间访问偏好,使用自然语言嵌入工具BERT模型提取访问兴趣点的语义。时间特征、空间偏好特征和访问兴趣点名称语义特征共同构成表征群体、个体偏好的时空联合特征,通过极限梯度提升分类器对其进行分类,得到活动语义识别结果。在Foursquare数据集上的对比实验和消融实验中验证了所提活动语义识别模型可以有效提升活动语义识别的准确性。     

战时装备保障阵地选址不确定决策方法

针对战时选址属性信息为区间数的情形,提出了一种基于模糊偏序关系的装备保障阵地选址决策方法.首先,建立战时装备保障点选址的评估值模型,并对其进行预处理;然后建立了模糊偏序关系模型,将混合型评估值模型转化为评估关系模型,得到各备选点之间的偏序关系;最后,对偏序关系进行集结,得到全序关系,从而获取方案的优劣排序.这为战时装备保障阵地选址提供了一种新的有效途径.