ilser-based FRC Evaluation Selection Model for Web Services
基于用户的Web服务FRC评估选择模型

Evaluation of non-functional properties (NFP) of Web services is an important premise to service selection.Current evaluation methods have not realized the evaluation of each NFP in accordance with its inherent character, nor have taken the complex requirements of users on multiple NFPs into consideration. Service which can best meet the demands of users will not be chosen based on existing Web services evaluation methods. To address this problem, a user-based FRC evaluation selection model for Web services was proposed. The proposed model considers all possible requirements on each NFP, and employs degree of membership, fuzzy judgment theory, probabilistic statistical method as well as the hOPSIS multi attribute decision making method based on the hosted mathematical property for each NFP.Fuzziness sub-model F and Randomness sub-model R are established, followed with Certainty sub-model C, which finally realizes comprehensive evaluation and selection of services. Simulation results demonstrate that the proposed model can effectively select an appropriate service according to the user's requirements.