中文摘要：

为了解决语言型数据无法用于计算的问题,提出了一种基于FOWA的Web服务选择算法.该算法分为两个部分：WSF-DF（defuzzification algorithm for WSF）基于多个用户对于Web服务的语言型评价,进行服务选择;WSF-Credibility（credi-bility test for WSF）用来查出可能存在的用户恶意评价并排除,从而提高Web服务选择结果的可信性.仿真结果表明,相比于其他Web服务选择算法,WSF算法考虑到了多个用户的评价意见,可以避免少数用户恶意评价带来的干扰,服务选择结果符合用户的真实意愿.

英文摘要：

Currently,the language-based data can not be used to calculate.To solve this problem,the paper gives a Web services selection algorithm using fuzzy ordered weighted averaging（WSF）.The algorithm is divided into two parts：WSF-DF（defuzzification algorithm for WSF） deals with the selection of services,basing on the language-based evaluation of multi-users for Web services;WSF-Credibility（credibility test for WSF） designs a resistance to the user baleful evaluation algorithm,used to detect which users may exist baleful evaluation,remove interference and improve the credibility of Web services selection.Simulation results show that,compared with other Web services selection algorithm,WSF takes the evaluation of multiple users into consideration,and meanwhile,the algorithm can eliminate the interference which is caused by a few users baleful evaluation,the selection result will satisfy the users＇ real wishes.