浅谈层次分析法在变电站站址优选中的应用

本文首先对变电站选址中的影响因素展开分析,接着使用层次分析法中的单排序与总排序方式对选址因素进行了权重对比,并通过对比确定了最佳选址位置。旨在利用层次分析法使得变电站选址最优化,提高变电站运营的有效性。     

基于层次分析法的信息化项目评估模型

针对政府组织实施的信息化项目评估问题，建立了信息化项目评估模型。层次分析法是一种定性与定量相结合的决策分析方法，运用层次分析法基本原理，将信息化项目评估问题众多的影响因素分层排序，组成一个有序的递阶层次矩阵，通过计算判断矩阵确定各个因素的权重，在实际评估工作中得到满意的评估结果。     

层次分析法在高校专业设置中的应用

介绍了层次分析法在高校专业设置中的应用,通过建立专业设置指标系统层次结构模型,构建决策成对比较阵,计算单层次排序权重和层次总排序权重,得出各个因素对专业设置的影响程度,能够对高校专业设置和调整制度提供借鉴.整个算法是用Java语言来实现的.     

基于模糊层次分析法的信息安全风险评估

依据模糊决策理论,提出了一种结合三角模糊数和层次分析法(AHP)定量评估信息安全风险的方法。在构建信息安全风险因素递阶层次结构模型基础上,用三角模糊数表示信息安全专家判断信息,同时采用一种基于可能度的模糊互补判断矩阵排序方法对风险因素进行重要度排序,从而确定了各层次风险因素的相对权重系数和整体绝对权重系数,为信息安全风险管理决策和安全工程建设提供了依据。最后通过实例说明了算法的应用。     

基于模糊层次分析法的Lucene网页排序算法研究

对改进后的Lucene网页排序算法中考虑的几个因素,用模糊层次分析法的方法对这些因素的权重进行确定,并运用算例对其过程进行说明,使权重向量的确定更有说服力。     

基于层次语义的URL排序方法研究

为了提高主题爬取的采集性能,提出了基于层次语义的URL排序算法.主题爬取过程中引入了层次语义的启发信息,采用层次语义组合排序度量进行URL排序,并对层次语义引导主题爬取的采集率性能进行实验研究.实验表明,采用基于层次语义的URL排序方法,爬取过程中由初始URL链接能快速导向某目标主题集的Web文档.同时,当目标主题集的邻近区域没有相关的页面时,逐步放宽主题范围,在较宽的主题区域中爬取,能较快地导向其它不相邻的主题区域.     

文义层次分析法

本文从系统结构分析入手，指出了传统层次分析法的不足，并对其加以拓广, 提出了广义层次分析法。文中首先定义了广义层次结构，然后引若干新概念，讨论了ＧＡＨＰ的单一准则下的元素排序，给出了合成排序定理。最后研究了ＧＡＨＰ的保序性，并得到相应结论。     

一种基于图的层次多标记文本分类方法

由于一个类别在层次树上可能存在多个镜像,基于层次树来进行分类可能会导致不一致性。一种自然的解决方法是采用图结构来描述类别关系,在现实生活中人们实际的描述方式也是如此。鉴于此,提出了一种直接基于图的层次多标记分类方法,称为GraphHMLTC。该方法利用有向无圈图的拓扑排序而非树的自顶向下的层次关系来确定类别之间的分类顺序,并且该拓扑序根据分类情形进行动态维护。实验表明,采用层次图分类的GraphHMLTC方法比非层次分类方法的代表之一BoosTexter.MH在较大程度上改善了分类精度。该工作体现了基于层     

基于层次分析法(AHP)的空中目标威胁度估计

为了对空中目标的威胁度进行科学评估和排序,以便于指挥员正确作出决策和作战指令,提出基于AHP的空中目标威胁估计的方法和具体步骤。首先分析影响空中目标威胁度的具体指标因素,同时构建各个因素的威胁因子和评判函数,然后利用一种改进型的层次分析算法对空中目标的威胁度进行全面综合的评估排序。实验案例结果表明,该评估方法的应用解决...     

广义层次分析法

本文从系统结构分析入手,指出了传统层次分析法的不足,并对其加以拓广,提出了广义层次分析法(GAHP)。文中首先定义了广义层次结构,然后引入若干新概念,讨论了GAHP的单一准则下的元素排序,给出了合成排序定理。最后研究了GAHP的保序性,并得到相应的结论。     

Optimization and extensions of a fuzzy multicriteria decision making method and applications to selection of touristic destinations

The aim of the present paper is to optimize and extend the recent method in Chu and Lin (2009). We simplify the calculus taking into account the expected value of a fuzzy number can be expressed by using its α-cut sets. A collateral benefit is that the discussed method becomes applicable in any structure of data as triangular fuzzy numbers. Then, to cover a wider range of data - performances of alternatives versus criteria and importance weights of criteria - we extend the optimized method to trapezoidal fuzzy numbers and to the cases of importance weights of criteria/ratings of alternatives expressed by real numbers and ratings of alternatives/importance weights of criteria expressed by fuzzy numbers. Each theoretical development is illustrated by examples. The importance of the method to the selection of the best touristic destinations is discussed too.     

An integrated approach to machine selection problem using fuzzy SMART-fuzzy weighted axiomatic design

In respond to new market requirements and competitive positioning of manufacturing companies selecting optimal machines that are consistent with manufacturing goals is of crucial importance. As it involves multiple conflicting criteria and inherent ambiguity and vagueness, election of a suitable machine can be regarded as a fuzzy multi-criteria decision making problem. In this study, for the first time in the literature, an integrated approach consisting of fuzzy simple multiattribute rating technique (SMART) approach and fuzzy weighted axiomatic design (FWAD) approach is proposed to determining the optimal continuous fluid bed tea dryer for a privately owned tea plant operating in Turkey. The weights of the evaluation criteria are calculated via fuzzy SMART and then FWAD is utilized to rank competing machine alternatives in terms of their overall performance. In the FWAD application phase, five experts have determined functional requirements (FRs) and have rated alternatives. Therefore, individual fuzzy opinions were required to be aggregated in order to set up a group consensus. A group decision analysis, referred to as the least squares distance method is used to aggregating the ratings of FRs and alternatives. It is concluded that the proposed hybrid methodology is a robust decision support tool for ranking machine alternatives under fuzzy environment and furthermore, it can be exploited for other fuzzy decision making problems, as well.     

一种新的三角模糊数型多属性决策方法

针对模糊群体多属性决策问题,提出一种模糊群体多属性决策方法．首先,定义了任意专家的中心决策矩阵;其次,利用任意2个规范化决策矩阵之间的相似度获得专家的综合重要性程度;再次,通过专家的综合重要性程度得到方案的平均可信度,进而得到方案的排序结果;最后,实例分析表明了所提出方法的可行性和有效性．     

A linear assignment method for multiple-criteria decision analysis with interval type-2 fuzzy sets

The theory of interval type-2 fuzzy sets is valuable for modeling impressions in multiple-criteria decision analysis problems. Based on signed distances, we develop a new linear assignment method to produce an optimal preference ranking of the alternatives in accordance with a set of criterion-wise rankings and a set of criterion importance within the context of interval type-2 trapezoidal fuzzy numbers. Applying the proposed method to a case involving the selection of a landfill site, we demonstrate that the proposed method is easy to employ and that it produces actionable results that aid the decision-making process. The proposed interval type-2 fuzzy linear assignment method utilizes signed distances, does not require a complicated computation procedure and will be beneficial to decision analysis.     

A hybrid approach using two-level SOM and combined AHP rating and AHP/DEA-AR method for selecting optimal promising emerging technology

Emerging technologies are playing an important role in establishing competitive advantage for technology based companies. Selecting an efficient and important emerging technology to invest in is significant to the companies also. In this study, we propose a method for selecting optimal emerging technology which is efficient, important and the most suitable to a company’s actual levels of input resource among various emerging technology alternatives. In order to select optimal emerging technology, the proposed method uses two-level-SOM to cluster the emerging technology alternatives based on alternatives’ required levels of input resource. For selecting efficient and important promising emerging technology, the proposed method calculates emerging technology alternatives’ efficiency score by using AHP/DEA-AR and their importance score by using AHP rating method in each technology cluster generated by two-level-SOM. Finally, the proposed method selects optimal promising emerging technology according to a company’s actual levels of input resource and each emerging technology alternative’s combined scores which is calculated by adding its efficiency score and importance score. A Korean company’s case of selecting optimal promising nanotechnology is employed to illustrate the proposed method. The result shows that the proposed method can provide an effective and reasonable selection of optimal promising emerging technology.     

An interval arithmetic based fuzzy TOPSIS model

This work suggests a fuzzy TOPSIS model, where ratings of alternatives under criteria and importance weights of criteria are assessed in linguistic values represented by fuzzy numbers. Criteria can be categorized into benefit and cost. Ratings of alternatives versus criteria and the importance weights of criteria are normalized before multiplication. The membership function of each fuzzy weighted rating can be developed by interval arithmetic of fuzzy numbers. A ranking method can then be applied easily to develop positive and negative idea solutions in order to complete the fuzzy TOPSIS model. Finally, a numerical example demonstrates the feasibility of the proposed method.     

Multicriteria fuzzy decision making based on interval-valued intuitionistic fuzzy sets

In this paper, we present a new method for multicriteria fuzzy decision making based on interval-valued intuitionistic fuzzy sets, where interval-valued intuitionistic fuzzy values are used to represent evaluating values of the decision-maker with respect to alternatives. First, we propose a new method for ranking interval-valued intuitionistic fuzzy values. Based on the proposed fuzzy ranking method of interval-valued intuitionistic fuzzy values, we propose a new method for multicriteria fuzzy decision making. The proposed multicriteria fuzzy decision making method outperforms Ye’s method (2009) due to the fact that the proposed method can overcome the drawback of Ye’s method (2009), where the drawback of Ye’s method is that it can not distinguish the ranking order between alternatives in some situations. The proposed method provides us with a useful way for dealing with multicriteria fuzzy decision making problems based on interval-valued intuitionistic fuzzy sets.     

A NEW METHOD FOR HANDLING MULTICRITERIA FUZZY DECISION-MAKING PROBLEMS

This paper presents a new method for handling multicriteria fuzzy decision-making problems, in which the characteristics of the alternatives are represented by interval-valued fuzzy sets, and some techniques are developed to calculate the degree of similarity between interval-valued fuzzy sets. The proposed method is more flexible than the one we presented earlier (Chen et al., 1989) because it allows the criteria values of the alternatives to be represented by real intervals rather than crisp real values between zero and one.     

A new soft computing model based on linear assignment and linear programming technique for multidimensional analysis of preference with interval type-2 fuzzy sets

Multiple criteria decision making (MCDM) approach plays an important role in life, since it is always necessary to make decisions through various alternatives based on specific criteria. In this paper, interval type-2 fuzzy sets (IT2FSs) are used because in most cases in the real-world the information is incomplete and ambiguous. A new group decision approach with linear assignment method (LAM) is proposed. In addition, weight of each evaluation factor according to subjective and objective data is constructed based on a new developed version of linear programming technique for multidimensional analysis of preference (LINMAP) method. In the proposed method, weights of decision makers (DMs) are computed based on a novel approach that applies a new modified method based on the concept of ideal solutions. Furthermore, a new IT2F-ranking method is introduced. To display the applicability of the presented soft computing method, firstly, a real case study of green supplier selection problem is adopted from the literature and solved. Moreover, the method is applied in a second case study of project evaluation and selection problem. Two applications show that the introduced method presents a proper soft computing framework that can handle real-world uncertain environments. Moreover, the method can consider importance of the DMs and evaluation criteria.     

Determining transmission line path alternatives using a valley-finding algorithm

Since new (Power) Transmission Lines (TLs) can have a long-term effect on the makeup of a landscape and on the human living space, it should be expected that the route of any new TL will be based on objective criteria that take into account the views of the public. Geographic Information Science (GIScience) provides powerful tools that assist in the determination of feasible locations for new TLs based on objective criteria and georeferenced data by combining methods from Multi-Criteria Decision Analysis (MCDA) and Least Cost Path (LCP) analysis. If such an approach is applied, the LCP analysis usually yields one optimal result. However, stakeholders and decision-makers prefer to compare multiple distinct path alternatives in order to find a solution that will be acceptable to as many stakeholders as possible.We have developed a method that calculates spatially distinct and Pareto optimal path alternatives based on the same cost surface using an algorithm for determining valleys on a Digital Elevation Model (DEM) to determine local low-cost points, which were then connected to a network graph by geometrical rules. Finally, we selected all non-dominated path alternatives that represented Pareto optimal conditions regarding a specific main objective. We then asked ten expert stakeholders to cross-compare the calculated path alternatives and assess our novel method. The concept of applying linear programming to obtain Pareto optimal path alternatives yielded routings that were mostly preferred over the LCP and had a greater likelihood of being realized than the results obtained by conducting the LCP analysis. The stakeholders determined the method's key concept to be useful and assert it a high potential to support planning, matter-of-fact argumentation, and discussions about TL routing.