基于ANP-MCGC的装备保障性评价建模研究

从装备保障性满足装备保障能力及其执行任务能力的角度出发,对装备保障性评价内涵进行了界定,在综合考虑装备执行任务能力和保障能力生成过程的基础上,构建了装备保障性评价指标体系。针对评价指标的内部依存性及外部依赖性,采用网络分析法(ANP)及超级决策软件对评价指标体系进行赋权;针对评价过程中的模糊性和随机性,采用云重心评判法(MCGC)对装备保障性的评价。结果表明：此模型对装备保障性能够给出有效的综合评价,为装备保障性科学评价提供了一种适用有效方法。     

超高效液相色谱-质谱联用法监测人心房钠尿肽的化学合成

多肽作为神经递质、激素、受体等参与和调节许多重要的生命过程。随着对多肽结构与功能认识的深入,化学合成多肽在生物医药、生命分析等领域显示了重要价值。人心房钠尿肽（ANP）是一种由28个氨基酸组成的多肽类激素,其含量和代谢异常与心血管疾病、癌症等密切相关。针对ANP重要的生理功能,该文开展了ANP化学合成及其过程的监测与优化,设计了集固相合成线性直链多肽和液相氧化成环为一体的策略。基于高效液相色谱的分离性能和多级质谱的结构鉴定能力,建立了超高效液相色谱-串联质谱（UHPLC-MS/MS）分析新方法,对固相合成产物进行了分离分析,并对液相氧化方法进行了筛选和优化,最终分离纯化得到了目标多肽,为人心房钠尿肽的高效化学合成及氧化成环反应提供借鉴。     

A hybrid model for selection of an outsourcing provider

Outsourcing is a good strategy for firms that need to reduce operating costs and improve competitiveness and it is important that firms scientifically select appropriate outsourcing providers. Some efforts have been made to find systematic ways to deal with outsourcing problems, but these efforts incorrectly assumed that the criteria used in the decision process are independent, which is not true in the real world. In this study, we propose a new hybrid multiple criteria decision-making (MCDM) model, which addresses the dependent relationships between the various criteria. The relations-structure among the criteria is built with the aid of the decision-making trial and evaluation laboratory (DEMATEL) method. Decision-makers tend to hold diverse opinions about their preferences due to incomplete information and knowledge, or inherent conflict between various departments. We further used the fuzzy preference programming and the analytic network process (ANP) to form a model for the selection of partners for outsourcing providers. The proposed model can help practitioners improve their decision making process, especially when criteria are numerous and inter-related. The method is demonstrated using data from a Taiwanese airline.     

University objectives and socioeconomic results: A multicriteria measuring of alignment

Universities develop technology transfer mechanisms as the tools required to undertake missions committed to the socioeconomic environment. In this work a new proposal to measure the extent to which the goals or strategic objectives of a university are aligned with the results obtained through its technology transfer mechanisms with the local community is presented. This will enable to perform a diagnosis, by comparing the situation sought by the University Management team (expected case) with the actual one that derives from the application of the plans that implement the technology transfer mechanisms (real case). To achieve this, two different Multicriteria Decision Analysis techniques e.g. Analytic Network Process (ANP) and Analytic Hierarchy Process (AHP) will be used. Both the methodology and the MCDA techniques proposed need to be explained and clarified to the different experts who collaborate in the study, hence the facilitating process, key to the whole procedure, will be analysed in detail.The model proposed in this study is applied to analyse the case of the National University of Colombia – Bogotá Campus. Findings show that the following questions can be answered: (i) How much importance is granted by the University Management to the objectives of the University? (ii) To what extent are the objectives of the university fulfilled by the technology transfer mechanisms to the socioeconomic environment? (iii) Are the objectives of the university aligned with the results achieved through the technology transfer mechanisms?     

基于ANP的中国东西部技术创新能力比较

介绍了ANP(网络层次分析法)的基本理论,并运用ANP方法建立了区域技术创新能力的评价指标体系,确定了各指标的权值,对北京、上海、广东、重庆、四川、陕西6省市的区域技术创新能力进行了评价,并从知识创造、知识流动、企业的技术创新能力、技术创新环境、技术创新的经济绩效5个方面对它们进行了比较研究.为中国东西部科技政策、科技规划的制定提供了定量依据.     

基于ANP权重确定的AHP-DEA模型及其在逆向物流服务供应商选择中的应用

实际系统评价问题中,输入输出指标之间往往并非独立,而是存在着复杂的影响与反馈关系.传统AHP-DEA模型直接采用层次分析法(AHP)构造约束锥,容易使指标权重产生较大偏差甚至出现错误.通过网络分析法(ANP)确定了权重,反向构造了AHP约束锥,并与DEA模型结合,建立了AHP-DEA模型.同时,开展了逆向物流服务供应商选择应用研究,应用结果表明,基于ANP权重确定的AHP-DEA模型能够有效解决多个决策单元均有效而无法区分优劣的问题.     

基于ANP-RBF神经网络的化工行业绿色供应商选择

基于绿色供应链理念,提出了化工行业绿色供应商选择的特色指标,构建了化工行业绿色供应商选择的ANP-RBF神经网络模型。通过ANP确定各指标权重,再结合RBF神经网络,从训练数据中提取隐含的知识和规律,能够方便地用于新供应商的选择。该模型求解算法为增量算法,具有很好的可扩展性,从而增加了评价的动态性。算例验证结果表明,将ANP-RBF神经网络模型用于化工行业绿色供应商的选择具有较强的实用性。     

An intelligent decomposition of pairwise comparison matrices for large-scale decisions

A Pairwise Comparison Matrix (PCM) has been used to compute for relative priorities of elements and are integral components in widely applied decision making tools: the Analytic Hierarchy Process (AHP) and its generalized form, the Analytic Network Process (ANP). However, PCMs suffer from several issues limiting their applications to large-scale decision problems. These limitations can be attributed to the curse of dimensionality, that is, a large number of pairwise comparisons need to be elicited from a decision maker. This issue results to inconsistent preferences due to the limited cognitive powers of decision makers. To address these limitations, this research proposes a PCM decomposition methodology that reduces the elicited pairwise comparisons. A binary integer program is proposed to intelligently decompose a PCM into several smaller subsets using interdependence scores among elements. Since the subsets are disjoint, the most independent pivot element is identified to connect all subsets to derive the global weights of the elements from the original PCM. As a result, the number of pairwise comparison is reduced and consistency is of the comparisons is improved. The proposed decomposition methodology is applied to both AHP and ANP to demonstrate its advantages.     

基于ANP的装备质量管理风险评估模型

根据装备质量管理的特点对装备质量管理的风险因素进行了分析,依据指标体系的设计原则建立了装备质量管理风险评估的指标体系,并给出了基于网络层次分析法和粒子群优化算法的的装备质量管理风险评估指标权重值的确定方法.并给出了实例分析.     

基于ANP-SVR的高校新专业设置优化分析

随着新专业的设置问题越来越多地成为各个高校普遍面对的发展问题,人们逐渐意识到决策过程中的滞后性、盲目性、片面性问题给专业设置工作乃至于该专业的生命力和竞争力带来的负面影响.运用ANP-SVR算法深入分析了高校新专业设置过程中的主要问题及其内部包含的各种因素,利用10个专业进行建模分析,并利用SVR,算法对3个拟建专业进行回归分析,得到了理想结果.方法将主观决策数字化,为高校的决策者提供了一种解决问题的新方法.