摘要： 提出了一个基于模糊理论的服务自适应模型。完整地形式化了服务自适应选择过程，使用模糊语言变量和隶属度方程定义了上下文状态和服务策略选择规则。基于当前上下文与服务实现策略标准上下文之间的模糊距离概念，提出了计算服务实现策略合适程度的合适度方程。结合名为“校园助理”的上下文敏感应用场景，阐述了该模型的有效性和具体应用。

关键词: 服务自适应, 上下文敏感, 中间件, 模糊理论

Abstract: This paper proposes a fuzzy-based service adaptation model (FSAM). It formulates the service adaptation process by using fuzzy linguistic variables and membership degrees to define the context situations and the rules for adopting the policies of implementing a service. It proposes fitness function to calculate the fitness degree for each policy based on the distance of fuzzy status between the policy and the current context situation. A context-aware application scenario called campus assistant is used to exemplify the proposed service adaptation model and demonstrate its effectiveness.

Key words: Service adaptation, Context-aware, Middleware, Fuzzy logic