基于模糊层次分析法的计算机网络安全评价

根据计算机网络的特点及网络安全涉及的因素,建立计算机网络安全评价的层次结构模型,运用基于三角模糊数的模糊层次分析法实现对网络安全的综合量化评价。实例的计算结果表明模糊层次分析法适用于定性判断的量化综合,它为计算机网络安全评价提供了一种探索性方法。     

基于集对可拓和改进层次分析法的铁路通信系统安全评估

针对现有高速铁路中LTE-R通信系统安全评估方法不足且评估过程存在模糊性和灰色性等问题,建立基于集对可拓和改进层次分析法的LTE-R通信系统风险评估模型.从影响通信系统的人、设备和网络等主要方面建立评估体系,确定风险评估指标和评价标准.利用改进层次分析法计算权重,基于集对可拓构建系统风险集对和计算风险联系隶属度,从而判断通信系统风险等级.实例分析表明,使用集对可拓和改进层次分析法可有效和真实反映LTE-R通信系统的风险状态,可为LTE-R通信系统的安全建设系统与风险管控提供理论依据.     

身份认证系统的评价模型

讨论了层次分析法(AHP)的应用步骤,提出采取专家群体判断方法集体决定构造比较矩阵中的元素,以避免方案决策的盲目性。以银行身份认证系统应用为例,通过专家群体判断方法对当前几种主要的身份认证技术按层次分解,计算出评价因素的综合权重,得到了采用“动态口令技术”是银行身份认证系统首要选择的结论。     

A new measure of consistency for positive reciprocal matrices

The analytic hierarchy process (AHP) provides a decision maker with a way of examining the consistency of entries in a pairwise comparison matrix and the hierarchy as a whole through the consistency ratio measure. It has always seemed to us that this commonly used measure could be improved upon. The purpose of this paper is to present an alternative consistency measure and demonstrate how it might be applied in different types of matrices.     

An AHP-based methodology to rank critical success factors of executive information systems

For academics and practitioners concerned with computer-based information systems, one central issue is the study of critical success factors (CSF) of information systems development and implementation. Whereas several critical success factors analyses appear in the literature, most of them do not have any technical background. In this paper, we propose the use of the analytic hierarchy process (AHP) to set critical success factors priorities. Results suggest that technical elements are less critical than information and human factors and that an adequate knowledge of the information requirements of users is the most important critical success factors related with executive information systems (EIS).     

Generating consensus priority point vectors: a logarithmic goal programming approach

The analytic hierarchy process (Saaty, The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation, NewYork: McGraw-Hill 1980) is a popular technique for addressing multiple-criteria decision-making problems (MCDMs). Various techniques have been proposed for using the AHP in group situations. Fundamental to the AHP is the generation of priority point vectors from matrices of pairwise comparison data. In this paper, we present a logarithmic goal programming model for generating the ‘consensus’ priority point vector from the set of individual priority point vectors.Scope and purposeWithin modern organizations, multiple-criteria decision-making problems (MCDMs) often occur within a group context, and individual priorities for decision alternatives must be synthesized into a single set of priorities which represents the consensus opinion for the group. This requires a process for aggregating individual priorities into a set of group priorities. In this paper, we examine the use of the analytic hierarchy process (AHP) MCDM technique for the group situation, and present an approach for aggregating individual priorities into a set of group ‘consensus’ priorities.     

AHP 法中判断矩阵的比例标度构造法

指出AHP法中现有标度方法的主要缺陷是：标度“粒度”大粒且标度值不能反映方案间的实际重要程度和关系，容易导致判断信息损失，破坏方案间重要程度的传递性，为此提出一种比例标度和对应判断矩阵构造方法，其特点是标度值能较为准确地标度方案的重要度，所构造的判断矩阵是完全一致的，因而大大提高了AHP方法决策的可靠性和实用性。     

导弹武器系统仿真可信度评估方法研究

飞航导弹武器系统是一个复杂大系统，复杂的仿真系统的可信度评估是一项关键技术，必须采取有效的手段和方法对整个仿真系统的可信度进行综合评估。关于仿真系统可信度评估的方法有很多如：相似度方法、层次分析方法、模糊综合评判法、CLIMB法和评价树方法等等，该文在综合分析各种方法的基础上，明确仿真可信度的基本概念和可信性评估的一般步骤，给出一个客观的、实用的、量化的、具有可操作性的导弹武器系统可信度评估方法。     

基于AHP的模糊线性规划求解方法

对于基于AHP的多准则分析过程,存在不一致区间判断的复杂评估问题.通过有下限和上限的区间数表示元素之间的比较比率,构造模糊约束集合矩阵,引入模糊集的隶属度函数表示对各种优先权矢量的满意程度,利用线性规划求解具有最大满意度的优先权矢量,得出候选者的总体优先顺序,并举例说明了应用该方法的计算过程.     

Combining different prioritization methods in the analytic hierarchy process synthesis

A multicriteria approach for combining prioritization methods within the analytic hierarchy process (AHP) is proposed. The leading assumption is that for each particular decision problem and related hierarchy, AHP must not necessarily employ only one prioritization method (e.g. eigenvector method). If more available methods are used to identify the best estimates of local priorities for each comparison matrix in the hierarchy, then the estimate of final alternatives’ priorities should also be the best possible, which is in natural concordance with an additive compensatory structure of the AHP synthesis. The most popular methods for deriving priorities from comparison matrices are identified as candidates (alternatives) to participate in AHP synthesis: additive normalization, eigenvector, weighted least-squares, logarithmic least-squares, logarithmic goal programming and fuzzy preference programming. Which method will be used depends on the result of multicriteria evaluation of their priority vectors’ performance with regard to suggested deviation and rank reversal measures. Two hierarchies with matrices of size 3–6 are used to illustrate an approach.     

An integrated hierarchical programming approach for industrial planning

This paper describes of prototype of a microcomputer implementation of an integrated multicriteria expert support system (MCESS). The system is an interactive, comprehensive, and easy to use tool to support the manager in project selection and resource allocation. The MCESS combines the capabilities of goal programming, the analytic hierarchy process, net present value analysis, and a spreadsheet.

The literature on modeling with spreadsheets and on software integration is reviewed. Goal programming, a multicriteria decision making technique is described and the analytic hierarchy process is shown to be able to overcome some of its limitations. The structure of the MCESS is described. An illustration of its use in industrial planning is presented.     

Review of the main developments in the analytic hierarchy process

In this paper the authors review the developments of the analytic hierarchy process (AHP) since its inception. The focus of this paper is a neutral review on the methodological developments rather than reporting its applications that have appeared since its introduction. In particular, we discuss problem modelling, pair-wise comparisons, judgement scales, derivation methods, consistency indices, incomplete matrix, synthesis of the weights, sensitivity analysis and group decisions. All have been important areas of research in AHP.     

Trust-based consensus reaching process for product design decision-making with heterogeneous information

Pursuing a consensual result is vital for selecting optimum product design schemes as it helps eliminate preference conflicts in product design decision-making (PDDM). As a dynamic and iterative activity, the consensus reaching process (CRP) of PDDM always involves heterogeneous, vague, and inconsistent information, which makes it challenging to adjust decision-makers’ judgement to achieve an acceptable consensus level. To address this issue, triangular fuzzy numbers were introduced to depict decision-makers’ heterogeneous judgement. The indicator weights were determined by integrating the fixed weight obtained from the interval analytic hierarchy process (IAHP) and the variable weight acquired using the maximizing deviation method. Decision-makers’ weights were identified through a combination of the uncertainty degree measured by fuzzy entropy and the consistency degree solved by a distance minimizing model of the PDDM matrix. A dynamic CRP for PDDM was proposed by adjusting decision-makers’ judgement based on their trust relationships and updating the PDDM matrix in an evolutionary manner. A case study is conducted to verify the feasibility and effectiveness of the proposed method.     

基于舰载平台的近程反导武器系统作战能力评估方法研究

近程反导武器系统由于受到载舰平台的安装位置、雷达探测能力等影响,其作战能力难以全部发挥,为了摸清该系统装舰后的实际作战能力,文章综合运用层次分析法、专家打分法、指数法等评估方法,构建了近程反导武器系统作战能力指标体系,并对指标体系进行了二次优化,建立评估模型、构造判断矩阵及计算指标权重、处理评估指标和试验数据,最后得出基于载舰平台的该型近程反导武器系统作战能力评估结果为0.797,为近程反导武器系统在反导作战使用和装备升级改造中提供理论依据和支撑。     

AHP中群决策的几何平均超传递近似法

研究了层次分析法（AHP）群决策中判断矩阵的合并问题.首先,论证了层次分析法中m个判断矩阵的几何平均矩阵是判断矩阵,以及m个判断矩阵的加权几何平均复合判断矩阵是判断矩阵;然后,提出了层次分析法中简化的超传递近似法及群决策的几何平均超传递近似法,该方法不需要一致性检验,同时又保持了专家的原始意见;最后,通过一个实例验证了该方法的有效性和实用性.     

一种基于最优可能满意度的群AHP 判断矩阵集结方法

针对层次分析法(AHP)判断矩阵群决策问题,提出一种新方法：定义可能度和满意度指标,分别衡量属性排序约束下合成矩阵的一致性程度和合成矩阵与群组判断矩阵的差异程度;利用模糊互补判断矩阵的线性和连续性,计算与群组判断矩阵差异最小的最优可能度矩阵和无约束的最优满意度矩阵;采用两个最优矩阵上三角元素的几何平均,获取满足最优可能满意度的群决策合成矩阵。最后通过算例表明了所提出方法的有效性和实用性。     

基于灰色层次法的城市应急能力评估系统

基于灰色层次法(grey analytic hierarchy process,GAHP),采用B/S(浏览器/服务器)架构,设计开发了城市应急能力评估系统。层次分析法通过模拟决策者的思维,建立城市应急能力评估模型;灰色理论排除人为因素的影响,提取评估过程中的有用信息。经过需求分析、概念设计、逻辑设计,以JSP+Tomcat+Oracle作为开发工具,编程实现了应急能力评估与反馈,为城市应急能力建设提供信息化支持。     

Applying FARSJUM intelligent system to derive priorities in sparse hierarchical problems

The analytic hierarchy process (AHP) is a decision analysis technique used to evaluate complex multi-criteria alternatives. In this paper, the fuzzy rule based system (FARSJUM) is introduced for especially sparse hierarchical problems to make decisions similar to AHP. The system is previously developed by the authors in sparse judgment matrices and in this paper an enhancement of the system in sparse hierarchical problems is brought. Numerical example is brought to show the applicability of the method and its advantages.     

Modification of the fuzzy analytic hierarchy process via different ranking methods

The use of fuzzy set theory in the analytic hierarchy process (AHP) has gained popularity in recent years as part of the multiple criteria decision-making (MCDM) process to more realistically reflect human judgment. However, due to the nature of fuzzy calculations, this situation imposes more computational load. The aim of this study is to propose methods for obtaining accurate weights from fuzzy pairwise comparison matrices with the least amount of computational load possible. In this context, two different fuzzy AHP (FAHP) methods based on fuzzy numbers ranking methods have been proposed and these proposed methods are compared with commonly accepted FAHP methods. Magnitude-based fuzzy AHP (MFAHP), which is one of the proposed methods, has outperformed all other methods according to accurate weight and computational load. Although the other proposed method, called the total difference-based fuzzy AHP (TDFAHP), gave better results than the frequently used Chang's fuzzy extent analysis method, it could not produce more accurate weight results than many other methods in general. But performance analysis shows that it is as good as the MFAHP in terms of computational load.     

Fuzzy analytic hierarchy process and analytic network process: An integrated fuzzy logarithmic preference programming

This paper proposes a two-stage fuzzy logarithmic preference programming with multi-criteria decision-making, in order to derive the priorities of comparison matrices in the analytic hierarchy pprocess (AHP) and the analytic network process (ANP). The Fuzzy Preference Programming (FPP) proposed by Mikhailov and Singh [L. Mikhailov, M.G. Singh, Fuzzy assessment of priorities with application to competitive bidding, Journal of Decision Systems 8 (1999) 11–28] is suitable for deriving weights in interval or fuzzy comparison matrices, especially those displaying inconsistencies. However, the weakness of the FPP is that it obtains priorities of comparison matrices by additive constraints, and generates different priorities by processing upper and lower triangular judgments. In addition, the FPP solves the comparison matrix individually. By using multiplicative constraints, the method proposed in this paper can generate the same priorities from upper and lower triangular judgments with crisp, interval or fuzzy values. Our proposed method can solve all of the matrices simultaneously by multiple objective programming. Finally, five examples are demonstrated to show the proposed method in more detail.