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中文摘要：
为了从大量的功能相同或相近、但服务质量不同的服务中,选择一个既可信、又能满足个性偏好的服务,以基于Agent和信任域的层次化信任管理框架为平台,利用基于个性偏好的模糊聚类方法,提出云计算环境下基于信任和个性偏好的服务选择模型.为了确定和服务请求者个性偏好最接近的分类,提出服务选择算法.引入信任评估机制,结合直接信任和域推荐信任,使请求者在确定的分类中,选择既安全可信、又能满足个性偏好的服务资源.在交易结束后,根据服务满意度,对本次服务进行评判,并进行信任更新.仿真实验表明,该模型可以有效地提高请求者的服务满意度,对恶意实体的欺诈行为具有一定的抵御能力.
英文摘要：
A section model under the cloud computing environment was proposed based on trustworthiness and personality preference in order to select a trusted service which satisfies the personality preference from a lot of service with similar or same functions but different quality of service. In this kind of model, hierarchical trust management architecture is as a platform and this platform is based on agent and trust domain. A service selection algorithm was proposed in order to select the closest classification for the requester＇s preference. A trust evaluation mechanism was introduced, combined with direct trust and do- main recommended trust. Then a service resource was selected among the requester＇s classification, which is secure and trusted, and can satisfy the requester＇s personality preference. When the transaction was completed, the service satisfaction was evaluated and the trust degree was updated. Simulation results show that the model can improve the service requesters＇ satisfaction and has certain resilience to fraud entities.
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