Enterprises heavily rely on the state-of-the-art information technologies user behaviors and social system to sustain business competitiveness. Service-Oriented Architecture (SoA) and Cloud allow enterprises to utilize dynamic distributed services across enterprise boundaries and even individuals. Based on the needs of society, enterprise can spin off a virtual enterprise for new businesses where the demanded manufacturing resources are obtained through service selection and workflow composition over the Internet. An increasing number of Internet of Things (IoT) services make enterprises facing the challenge to select preferable services for their business workflows. We improve workflow compositions methods at three major aspects: (1) we present an integrated approach for service selection and composition to meet the needs of users and social system. (2) We extend Service Workflow Specification (SWSpec) as a formal requirement specification to determine a design space of services. (3) We introduce the Fuzzy Analytic Hierarchy Process (F-AHP) to evaluate non-functional specifications quantitatively with less uncertainty. Appropriate rankings can be assigned to available services based on non-functional requirements to determine the best-suited services with less uncertainty.

企业严重依赖最新的信息技术用户行为和社交系统来维持业务竞争力。面向服务的体系结构（SoA）和云使企业可以跨企业边界甚至个人利用动态分布式服务。根据社会的需求，企业可以将虚拟企业分拆为新企业，通过互联网上的服务选择和工作流组合来获得所需的制造资源。越来越多的物联网（IoT）服务使企业面临着为其业务工作流选择首​​选服务的挑战。我们从三个主要方面改进工作流程组合方法：（1）我们提出了一种用于服务选择和组合的综合方法，以满足用户和社会系统的需求。（2）我们将服务工作流程规范（SWSpec）作为正式的需求规范进行扩展，以确定服务的设计空间。（3）我们引入了模糊层次分析法（F-AHP），以较少的不确定性定量评估非功能性规格。可以基于非功能性需求为可用服务分配适当的排名，以确定不确定性最低的最适合的服务。