Resource service optimal-selection based on intuitionistic fuzzy set and non-functionality QoS in manufacturing grid system
Resource service optimal-selection based on intuitionistic fuzzy set and non-functionality QoS in manufacturing grid system
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DOI：
10.1007/s10115-009-0263-6
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发表时间：
2010-10
影响因子：
2.7
通讯作者：
F. Tao;Dongming Zhao;Lin Zhang
中科院分区：
文献类型：
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作者：
F. Tao;Dongming Zhao;Lin Zhang
在制造网格（MGrid）系统中，根据任务的功能需求，存在着大量具有相似功能特征的资源服务。具有相似功能特性的多个资源服务引起了资源服务优化选择（RSOS）的关注。根据服务的非功能特性或服务质量（QoS）选择最优的资源服务是很重要的。然而，QoS属性是不容易测量，由于其复杂性和不良结构的信息的参与。在这项研究中，用户的感受是考虑在RSOS在MGrid系统。利用直觉模糊集（IFS），基于用户的感受和交易经验对资源服务的非功能性QoS进行评估。在此基础上，考虑了非功能性QoS的动态性，引入了时间衰减函数对非功能性QoS进行评价。提出了一种基于IFS和非功能QoS的RSOS方法，并给出了具体实现过程。一个实际的案例研究来说明所提出的方法和程序。讨论了该方法的性能和优点。
In manufacturing grid (MGrid) system, according to functional requirements of a task, there exist a lot of resource services which have similar functional characteristics. Multiple resource services with similar functional characteristics raise the concern over resource service optimal-selection (RSOS). It is important to select the optimal resource service according to their non-functionality characteristics or quality of service (QoS). However, QoS attributes are not easy to measure due to their complexity and involvement of ill-structured information. In this study, user’s feeling is taken into account in RSOS in an MGrid system. The non-functionality QoS evaluation of resource services is based on users’ feeling and transaction experiences using intuitionistic fuzzy set (IFS). Furthermore, the dynamics of non-functionality QoS is considered, and a time-decay function is introduced into non-functionality QoS evaluation. A new method is proposed for RSOS based on IFS and non-functionality QoS, and the procedures are presented in detail. A practice case study is used to illustrate the proposed method and procedure. The performance and advantage of the proposed method are discussed.