我国军事人才能力素质测评方法研究

围绕我国各类军事人才能力素质的测评,以某部为实证对象,按照总政治部有关人才考评的文件精神和未来信息化战争对人才的要求,构建了军队人才测评指标体系和测评方法,并对当前军队人才培养的主要途径进行了比较分析,研究结果表明,通过构建科学的测评指标体系和测评方法,能够对部队各种人才的能力素质进行科学、定量的评估,为选好用好人才提供科学依据;研究结果也表明,当前军队自行培养人才和委托地方科研院所培养人才的方式各有优劣,需要进行资源、信息等各方面的融合互补,     

环境评价中不存在污染指标权重的原因

当今环境评价都以权重反映评价指标重要性程度的差异,并且在定权方法上存在不同意见.实际上环评中的指标权重只针对定性指标,对制定了"分级标准"的污染指标并不存在权重概念,更不存在确定权重的问题,这是环评特点.如果环评中不再确定污染指标权重,那么仅此一点已足可改变当今所有环评的评价结果,所以从理论上论证为什么环评领域对污染指标不存在权重问题是十分必要的,也是规范环评方法的一个必要条件.     

基于因子分析法的房地产行业可持续发展程度评估

房地产行业的可持续发展对于国民经济稳步增长和产业结构优化调整具有重要的意义.首先解析了房地产行业可持续发展概念的内涵,其次构建房地产行业可持续发展程度评估指标体系,引入因子分析法进行指标优化,并采用层次分析方法确定指标权重.然后采用功效系数法将指标标准化处理,并对照分级标准,对房地产行业的可持续发展程度进行评估,确定出天津市2003-2009年房地产行业可持续发展程度的趋势变化情况.最后提出了关于促进房地产行业可持续发展的几点对策建议.     

AHP中群决策权重的确定与判断矩阵的合并

本首先运用系统聚类分析法，对群决策中的专家进行了分类，并为每位专家赋予了不同的权重。然后在专家自身权重的作用下，根据各个判断矩阵之间的一致性，算出每个判断矩阵的可信度权值，对经过一致性调整的多专家判断矩阵进行加权平均，得出多专家对各判定方案的判定结果。章的最后用一个算例来说明本中方法的实施过程。     

投资项目选择的风险评价AHP模型及其应用

论述了投资项目选择问题的重要性 ,对常用的投资项目选择方法进行了综述分析 ,探讨了投资项目选择的风险评价指标体系和层次分析法的基本原理 ,提出了投资项目选择的风险评价层次分析模型 ,并以实例说明了如何将层次分析法应用于投资项目选择的风险评价问题 .     

Joint Power and Temperature Aware Routing for implant wireless body area networks

In healthcare IoT, there is a vogueing need for better performing monitoring and reporting services of both medical and non-medical applications. Off late, the solutions are stemming from wireless body area networks (WBAN). Keen, fast, and reliable management of clinical information at every level of the network opens room for researchers to work on the network level of WBAN. Being in the era of Implant Medical Devices, the challenges are versatile. Obtaining the desired throughput, combating node heating, and improvement in energy efficiency are a few challenges. Interestingly, the heterogenous nature of nodes in a WBAN thrusts the next hop selection at the intra-WBAN level advancing into a non-persistent hard problem. To this, we present a Joint Power and Temperature Aware Routing (JPTAR) Scheme with two elements. First is an analytic hierarchy process–based next hop selection method that accommodates, link quality, residual energy, closeness to sink, and node heating for the process. To this an imperceptibly, low computation algorithm for received signal strength indicator (RSSI) estimation-based transmission power control is also added to ensure an optimized energy expenditure. Requisite elements of WBAN network management like QoS goals of emergency data and redundancy removal in transmissions are inherently part of the proposed work. The performance metrics like network lifetime, node temperature rise, throughput, end-to-end delay, and computation time are acquired under the worst-case scenario. The obtained results depict that the proposed JPTAR scheme outperforms state-of-the-art reactive multi-hop routing algorithms (MATTEMPT and SIMPLE).