基于层次决策分析法构建多环芳烃高效降解菌群的研究

以潮间带沉积物为菌源分离出5株多环芳烃高效降解菌,基于层次决策分析法(Analytic Hierarchy Process,AHP)构建了多环芳烃高效降解菌群。利用层次决策分析法,对细菌的降解率及代谢活性进行比较,并通过不同的赋值方式,构建了3组多环芳烃降解菌群:AHP-1(主观温和赋值组)、AHP-2(主观极端赋值组)、AHP-3(客观赋值组)。实验结果表明,菌群的降解速率显著高于单菌的降解速率。在此基础上,以等比例方式混合细菌作为对照组,研究了以上4组菌群的降解率和代谢活性。结果表明,1 d内,AHP-3取得了较高的PAHs降解率(64.02%),高于AHP-1(58.75%)、AHP-2(55.17%)及对照组(54.98%)。利用层次决策分析法这种尚未报道过的新型构建菌群的手段,可以提高PAHs的降解速率,因此,可以作为一种方法,为菌群的构建提供理论基础。

层次权重决策分析法在浅埋隧道开挖方法选择中的应用

以浅埋公路隧道为研究对象,利用层次权重决策分析法对正台阶环形开挖法、双侧壁导坑法、交叉中隔墙法和中隔墙法等隧道施工工法进行对比分析,得出交叉中隔墙法能很好地控制地表沉降。结合FLAC3D软件,模拟交叉中隔墙法、正台阶环形开挖法施工后地表沉降,通过对比工程实际分析验证层次权重决策分析法。结果表明,层次权重决策分析法是选择开挖方法行之有效的方法,能为浅埋隧道施工方法的选择提供参考。

层次权重决策分析法在地铁施工工法的选择应用

以黄土区地铁为研究对象,利用层次权重决策分析法对明挖法、暗挖法和盖挖法等地铁施工工法进行对比分析,发现暗挖法能很好的控制地表沉降,通过工程实例的实际应用,证明层次权重分析法是选择地铁施工工法行之有效的方法,为地铁施工方法的选择提供了依据。

基于AHP的模糊选择物流结点算法研究

根据现代物流发展的规律,针对企业物流网络构筑的实际需要,以提高社会物流效率为目标,着重使用层次权重决策分析法(AHP)结合模糊理论对物流结点选择方法进行研究,从而为物流需求企业进行物流结点决策提供参考方法和依据。

公路货运企业管理质量评价方法研究

针对我国公路货运企业管理水平整体偏低,管理方法比较落后的现状,以促进管理质量为目标,着重使用层次权重决策分析法对管理质量进行评价,从而推动公路货运企业管理质量的提高。

软岩浅埋隧道锚开挖方案比选研究

为了研究软岩地质条件下悬索桥隧道锚的合理开挖方案,以伍家岗长江大桥北岸隧道锚为研究对象,利用层次权重决策分析法结合FLAC3D软件,对三台阶法、三台阶临时仰拱法、正台阶环形开挖法和交叉中隔壁法等多种隧道开挖方案进行多维度对比分析.结果表明:层次权重决策分析法结论与数值计算结果一致,当目标指标着重于沉降变形和工程造价时,三台阶临时仰拱法为最优开挖方案.该结果同时说明,在隧道锚开挖方案选择上,将层次权重决策分析法和数值分析方法结合,能够为实际工程提供科学指导意见.

金融竞争力要素评价指标体系的构建

金融竞争力反映着一个国家或地区金融市场对经济发展的作用以及在国际金融体系中的竞争实力,为本国或本地区经济的健康、高效、有序地发展提供强有力的环境支持。文章利用层次权重决策分析法(AHP)构建了综合评价金融竞争力要素指标体系,为我国提高金融竞争力提供了决策依据。

基于系统论的管线测量成果质量检验评价研究

分析了管线测量成果质量检验评价的现状,基于系统理论搭建质量检验评价的方法论框架,采用层次权重决策分析法构建层次结构模型。结合专家知识库开发了统一平台的GIS系统,实现质量检验评价内外业一体化,建立了智能化质量检验评价体系。通过实际项目应用验证了该方法既提高工作效率又保证评价结果正确性,为管线测量成果的质量检验评价提供了新的思路与完善的解决方案。

DECISION-MAKING OF SLICING SCHEME IN FUSED DEPOSITION MODELING PROCESS BASED ON ANALYTICAL HIERARCHICAL PROCESS

Based on analyzing the influences of a slicing scheme on stair-stepping effect, supporting structure, efficiency and deformation, etc. , analytical hierarchical process （AHP） combining with fuzzy synthetic evaluation is introduced to make decision in slicing schemes for a processing part. The application in determining the slicing scheme for a computer mouse during prototyping shows that the method increases the rationality during decision- making and improves quality and efficiency for the prototyping part.

New Program Projects Selection for TV Companies

Selecting new program projects plays an important role for TV companies. Balanced scorecard （BSC） which links financial and non-financial, tangible and intangible, inward and outward factors can provide an integrated viewpoint for decision makers to select optimal new program projects. This study combines BSC with analytic hierarchy process （AHP） to help Taiwan Residents TV company managers make better decisions in new program projects selection. Moreover, the practical application of the proposed approach is generic and also suitable to be exploited for Taiwan Residents TV companies.

SAE-TOPSIS algorithm for vertical handoff decision in heterogeneous wireless networks

An improved technique for order preference by similarity to ideal solution （TOPSIS） algorithm, SAE-TOPSIS, is proposed for the vertical handoff decision in heterogeneous wireless networks. The signal to interference plus noise ratio （SINR） effects, analytic hierarchy process （AHP） and infor- mation entropy （SAE） weight method were introduced into the algorithm. Handoff decision meeting the multi-attribute quality of service （QoS） requirement is made according to an attribute matrix and weight vector using the TOPSIS algorithm. The simulation results have shown that the proposed algo- rithm can provide satisfactory performance fitted to the characteristics of the traffic.

Use of Multi-criteria Decision Analysis Methods for Water Supply Problems： A Framework for Improved Rainwater Harvesting

Several conflicting objectives are considered in decision-making. MCDA （multi-criteria decision analysis） methods are developed to facilitate better decision making by decision-makers. Water supply problems are complex problems with multiple decision making and criteria. Hence, the use of multi-criteria decision analysis is very appropriate for solving these problems. Multi-criteria decision analysis can be divided into three main groups： value measurement models, goals, aspiration and reference level models and outranking models. The methods listed have been applied to water supply problems, especially in the evaluation of alternative water supply strategies. Each method has its advantages and limitations. A good alternative for concluding a better-suited method for water supply problems is to apply more than one method, either in combination to make use of the strengths of both methods, or in parallel to obtain a broader decision basis for the decision maker. Previous studies of MCDA in water supply planning have usually considered water supply networks with only one water service delivery. Advanced water supply sources with multiple water service delivery systems have been neglected. This is an on-going study in which analytical hierarchical multi-criteria decision analysis methods are proposed for solving water supply problems and a framework for improved rainwater harvesting systems will be developed.

海底数据中心服务器集装箱外壳材料研究

主要为海底数据中心选择合适的服务器集装箱外壳材料,以满足海底的承压、耐腐蚀和成本要求,并进一步提高散热效果。综合考虑了海底环境、季节、潮汐等影响,以及材料本身的成本、散热能力、耐压能力、抗腐蚀能力、使用年限等,并在众多相关因素中提炼出主要的、决定性的因素,通过层次分析法确定各影响因素的权重,计算出各个因素对材料选择影响的程度大小,再根据各材料的各个特性数值评估计算,最终得出铝6061为最佳海底数据中心集装箱外壳材料。

Selecting Alternatives from Self-Organizing Product Maps for Purchase Decision Making Using AHP

We previously proposed a method for creating product maps with SOM （Self-Organizing Maps） to be used during purchase decision making. In that study, we first established two class boundaries, which divide the area between the minimum and maximum range of an input feature value into three equal parts. Then, we produced self-organizing product maps using classification data inputs. Finally, we applied our method to five product types and confirmed its effectiveness. In this paper, we propose a method for selecting alternatives from a product map, in which we have located a favorite several examples of selecting alternatives and making decisions using cluster, and/or from a favorite component map. We then show the AHP （Analytic Hierarchy Process）.

OPTIMAL HIERARCHY STRUCTURES FOR MULTI-ATTRIBUTE-CRITERIA DECISIONS

A problem of a hierarchy structure optimization is considered.Hierarchical structures arewidely used in the Analytic Hierarchy Process,conjoint analysis,and various other methods of multiplecriteria decision making.The problem consists in finding a structure that needs a minimum number ofpair comparisons for a given total number of the alternatives.For an optimal hierarchy,the minimumefforts are needed for eliciting data and synthesizing the local preferences across the hierarchy to getthe global priorities or utilities.Special estimation techniques are developed and numerical simulationsperformed.Analytical and numerical results suggest optimal ways of priority evaluations for practicalmanagerial decisions in a complex environment.

Maintenance Decision Making Model with Multiple Attribute Optimization

An effective maintenance schedule can largely improve productivity and reduce maintenance costs for enterprises. Many factors, such as resource, production, cost and crew, should be considered when we make maintenance plans. However, it is difficult to meet all requests of the production targets in practical engineering.The multiple attribute decision making for equipment maintenance is proposed in this paper, and the multiple objectives decision making method is utilized to solve the problem in the maintenance process. In the particular environment and resources, a case is studied to illustrate the model and methods. The model gives the optimal maintenance plan with the analytic hierarchy process method in accordance with the particular criteria. It has been proved that this model and decision methods are scientific and operable.