群体Pareto最优的Web服务组合决策方法

针对异构数据描述的QoS信息和群体中个性化的用户QoS偏好的Web服务组合问题,提出了一种基于多属性决策(MADM)理论的面向群体用户的语义Web服务选择算法(GUWSSA),GUWSSA能够获得群体Pareto最优服务组合计划.首先定义了能够描述群组的用户上下文本体和支持异构数据类型的服务上下文本体,然后给出了GUW...     

考虑原子服务排列顺序的QoS感知Web组合服务选择

针对现有OoS感知的Web服务组合选择方法难以选择到实际执行代价最低的服务组合的问题,在分析原子服务排列顺序对组合服务Qos的影响的基础上,提出了考虑原子服务排列顺序的组合服务选择方法.该方法将组合服务看成是一组原子服务的排列,考虑到原子服务的可靠性,将组合服务平均成功执行一次所需的代价作为组合服务的实际执行代价,以组...     

组合服务选择中的服务QoS反演

针对组合服务选择中原子服务的服务质量(QoS)未知的情形,提出了服务QoS的反向计算问题,通过对问题的详细分析将其转化为计算原子服务归一化QoS的问题,进一步提出了根据组合服务的QoS反向计算各原子服务归一化的QoS的反演算法,使得在原子服务QoS未知的情况下基于QoS进行组合服务选择成为可能,并在反演算法的基础上提出...     

一种基于QoS和面向应用的多属性mSCTP垂直切换决策方法

用移动流控制传输协议(mSCTP)作为传输层协议构建多接口终端系统结构,提出一种基于QoS和面向应用的多属性mSCTP垂直切换决策方法,利用mSCTP在移动性方面的良好特性实现了异构网络接口间的合作.在决策属性选择及其权重值分配时充分考虑不同类型应用的特性及其不同的QoS需求,采用1-9互反标度保证其客观性和一致性.垂直切换决策针对每个应用单独进行,并选择最恰当的网络为切换目标网络,以有利于网络资源的有效利用.仿真结果表明,这种垂直切换决策方法能够有效避免不必要的切换,并且能在单个应用性能优化和网络资源的有效利用之间达到良好的平衡.     

基于动态描述逻辑的Web服务自动组合技术

提出了一种利用动态描述逻辑(DDL)的动态推理自动组合Web服务的方法.DDL是描述逻辑(DL)的一种动态扩展,它结合本体提供的静态信息与Web服务提供的计算,统一地描述和推理Web环境中静态信息与动态知识.该方法充分利用Web服务组合中涉及的静态知识(如描述逻辑知识库刻画的领域公理、具体环境和用户需求等)和动态知识(...     

基于动态描述逻辑的Web自动化服务组合

研究了动态描述逻辑(DDL)在Web服务组合中的应用。基于目标规划以及动态描述逻辑给出了Web服务组合算法。该算法考虑了客户的个人偏好,扩大了Web服务的应用范围。它使用DDL进行Web服务组合刻画,因为DDL将具有相似功能的服务划为一个动作集合,因而能够实现对语义Web中的动态知识和静态知识的统一描述,克服描述逻辑缺乏对动态知识描述的不足。该算法能够利用目标规划给出主体的动作执行序列,以有效实现Web服务的自动组合。最后通过具体实例验证了该算法的可行性。     

基于阶层式语义范例推理的服务组合方法研究

为了解决自动服务组合过程中的知识表示和知识积累问题和提高服务组合的可重用性、准确性并减少服务组合的代价,提出了一种基于阶层式语义范例推理的自动服务组合方法。该方法先通过设计适当的语义服务范例描述语言来描述不同类型的服务范例,然后构造阶层式的服务范例,在此基础上通过服务范例的相似度测量与选择机制获取满足用户需求的组合服务逻辑集成或引用,实现服务组合。通过与其他服务组合方法的对比实验与定性分析证明,基于语义范例推理的服务组合方法是可行和有效的。     

多维异质信息混合的河南自贸试验区工程项目群优选决策方法

为对子项目间存在交互耦合关联的工程项目群进行优选决策,基于前景理论以规范化处理后的决策矩阵确定正、负理想参照点;基于垂面距离计算各备选工程项目群在单个准则下的前景价值,以所有备选工程项目群的综合前景值总和最大化构建非线性规划模型确定各准则权重;基于改进TODIM方法通过总优势度对备选工程项目群排序择优,经灵敏度分析、对比分析探讨各类型参数变化对排序结果的影响,验证该决策方法的有效性与可行性。     

一种提供用户偏好选择的Web服务组合方法

分析了用户对于组合的Web服务的一些软性的偏好,对这些偏好的表达和基于这些偏好的Web服务组合进行了研究,提出了一种提供用户偏好选择的Web服务组合方法.该方法利用模糊约束来表达用户的偏好,将用户的偏好和满意程度转化成为模糊约束满足问题,进而使用分支定界法对层次化任务网络(HTN)进行分解.实验结果表明,用户的满意程度有显著的提高.     

基于QoS预测模型的Web服务局部选择方法

提出一种基于QoS预测模型的选择方法,该方法不仅能够通过基于信誉度或BP网络的QoS预测模型较准确地查找到真正满足用户QoS需求的服务,而且能够在没有完全满足用户QoS需求服务的情况下,推荐尽量相似的服务以供用户作进一步选择。     

Cloud manufacturing service composition based on QoS with geo-perspective transportation using an improved Artificial Bee Colony optimisation algorithm

Cloud Manufacturing (CMfg) ambitions to create dedicated manufacturing clouds (i.e. virtual enterprises) for complex manufacturing demands through the association of various service providers’ resources and capabilities. In order to insure a dedicated manufacturing cloud to match the level of customer’s requirements, the cloud service selection and composition appear to be a decisive process. This study takes common aspects of cloud services into consideration such as quality of service (QoS) parameters but extend the scope to the physical location of the manufacturing resources. Unlike the classic service composition, manufacturing brings additional constraints. Consequently, we propose a method based on QoS evaluation along with the geo-perspective correlation from one cloud service to another for transportation impact analysis. We also insure the veracity of the manufacturing time evaluation by resource availability overtime. Since the composition is an exhaustive process in terms of computational time consumption, the proposed method is optimised through an adapted Artificial Bee Colony (ABC) algorithm based on initialisation enhancement. Finally, the efficiency and precision of our method are discussed furthermore in the experiments chapter.     

支持服务关联的全局最优服务选择算法

针对面向服务的军事综合电子信息系统候选服务的服务质量往往依赖于其他候选服务的问题,提出了一种支持服务关联的全局最优服务选择方法.该方法将基于QoS的军事信息服务选择问题建模为带QoS约束的多目标组合优化问题,采用基于独立成分分析(ICA)的多目标分布估计算法同时优化多个目标函数,最终产生一组满足约束条件的Pareto最优解服务组合集.对比实验结果表明,基于ICA的多目标分布估计算法通过概率图模型可以描述服务间的相互关系,可以更好地解决存在服务关联的组合服务选择问题,具有良好的有效性和可行性.     

A decision making methodology for material selection using an improved compromise ranking method

An ever increasing variety of materials is available today, with each having its own characteristics, applications, advantages, and limitations. In choosing the right material, there is not always a single definite attribute of selection and the designers and engineers have to take into account a large number of material selection attributes. This paper presents a logical procedure for material selection for a given engineering application. The procedure is based on an improved compromise ranking method considering the material selection attributes and their relative importance for the application considered. Two examples are included to illustrate the approach.     

A bill of materials-based approach for end-of-life decision making in design for the environment

Re-use, recycling or remanufacturing of products and components are good alternatives for reducing the environmental problems resulting from the huge amounts of waste currently arriving at landfills. A new approach is proposed in this paper for enhancing these alternatives from the earliest stages of product design. Given the product structure (obtained from its bill of materials (BOM)) and the joining and geometrical relationships among the components (obtained from the three-dimensional, computer-aided design representation), a model is proposed that will determine the EOL (EOL) strategy, i.e. the depth of disassembly inside the structure and the final end (re-use, recycle, remanufacture or disposal) for each disassembled part leading to the highest profit. A scatter search (SS) metaheuristic is used to determine the disassembly cost at each level of the BOM. The model presents a number of major improvements with respect to previous research. It addresses the problems of simultaneously determining both the best EOL strategy and the disassembly sequence, as well as allowing removal of components not only over the two or three Cartesian axes and affording the possibility of modifying the encountered strategy in a further step so as to fulfil other business criteria (such as disassembly time, resources availability or maximum waste generation rate).     

Adaptive management with integrated decision making: an emerging tool for cumulative effects management

Adaptive management (AM) is being used as a follow-up tool within EIA/CEAM. Such uses include reducing cumulative effects uncertainties, and informing decision making on practices to minimize the incremental effects of proposed actions and the management of regional cumulative effects resulting from multiple contributors. Based upon a review of fundamental concepts, practices and case studies, the following key lessons have been identified: (1) AM can be a useful tool for coping with uncertainty in CEAM, improving the knowledge base and enhancing the effectiveness of cumulative effects mitigation and management at the project and regional level respectively; (2) decision flowcharts can facilitate the learning and necessary adaptations associated with AM programs, and such flowcharts should be both understandable and integrative in relation to developing an holistic perspective on management choices and their environmental implications; and (3) there is a primary need for comparative case studies illustrating how AM has been incorporated in NEPA compliance documents which address cumulative effects management.     

OFDMA系统中支持混合业务的跨层调度算法

针对正交频分多址接入(OFDMA)系统下行链路的混合业务调度问题,提出了一种基于队列等待时间的跨层调度算法.该算法联合利用了MAC层的队列等待时间与物理层的信道状态信息作为调度参数,通过队列等待时间反映用户的服务质量要求,并利用多用户分集增益提高系统性能;针对实时和非实时用户的不同服务质量要求,在队列等待时间的计算上采取了不同的策略;在子载波的分配过程中根据分配状态及时更新队列等待时间,使资源的利用更为有效.仿真结果表明,提出的算法可显著降低实时用户的平均时延和最大延时违反概率,同时保证了非实时用户的吞吐量需求,能够有效地支持下一代网络中混合业务的多种服务质量要求.     

A novel model for optimisation of logistics and manufacturing operation service composition in Cloud manufacturing system focusing on cloud-entropy

In recent years, economic globalisation and manufacturing resource globalisation as two key factors have driven enterprises to transform their business processes to survive in competitive environments. This transformation is challenging as manufacturing enterprises should maintain their support for their customers with high-quality products, lower cost, product customisation capabilities, and quick delivery. Moreover, globalisation has resulted in geographically distributed suppliers across the globe. This challenge will turn into a major research topic when paradigms like Cloud manufacturing are introduced. Cloud manufacturing is a new paradigm which provides ubiquitous, convenient, on-demand network access to a shared pool of configurable manufacturing resources. In this paper, to achieve the ideal goal of Cloud manufacturing, the concept of supplier network logistics planning and manufacturing service composition is focused. Every production task and logistics operation would be defined as a service considering operation process chart flows. The paper has proposed a mathematical model which selects an optimal set of manufacturing and logistics service composition in order to lower operation and logistics costs in operational perspective while fulfilling a novel idea for configured cloud entropy of logistics and operation suppliers. Finally, the paper has presented a numerical example and concluded the remarks, and outlined future research.     

A novel hybrid multiple criteria decision making model for material selection with target-based criteria

In engineering design, the decision to select an optimal material for a particular product is a problem requiring multi-criteria decision analysis that involves both qualitative and quantitative factors. The evaluation of alternative materials may be based on imprecise information or uncertain data. Furthermore, there can be significant dependence and feedbacks between the different criteria for material selection. However, most existing decision approaches cannot capture these complex interrelationships. In response, this paper proposes a general framework for evaluating and selecting the best material for a given application. A novel hybrid multiple criteria decision making (MCDM) model combining DEMATEL-based ANP (DANP) and modified VIKOR is used to solve the material selection problems of multiple dimensions and criteria that are interdependent. Moreover, target-based criteria as well as cost and benefit criteria can be addressed simultaneously in the proposed model. Finally, an empirical case concerning the bush material selection for a split journal bearing is presented to illustrate the potential of the new model. The results show that the proposed method for material selection is effective and provides meaningful implications for designers and engineers to refer.