基于模糊理论的多属性群决策的web服务评价优化算法  

Multiple Attributive Group Decision Making Optimization Algorithm of Web Services Evaluation Based on Fuzzy Theory

作　　者：郑世明[1] 高志年[1] 张璐 吴从晖[1] 韦伟[1] 

机构地区：[1]南京陆军指挥学院作战实验中心,江苏南京210045 [2]北京市海淀区同方科技军代室,北京100083

出　　处：《微电子学与计算机》2012年第11期141-144,共4页Microelectronics & Computer

基　　金：部委重点项目(09K14)

摘　　要：本文综合考虑到web服务性能和质量评价指标属性的多样性和描述语言的模糊性,首先将对web服务评价属性的定量、定性描述指标统一转化为三角模糊数,在充分利用三角模糊数性质的基础上,构建群决策函数,实现定量指标与定性指标的规范化处理,在此基础上提出一种基于优先矩阵排序的模糊多属性群决策算法,实现对web服务的综合评价.最后,通过web服务评估实例分析并证明了算法的可行性和有效性.This paper takes into account the properties of web service,the diversity of quality evaluation as well as the description of the vagueness of the language.First,it converts the quantitative and qualitative evaluation indicator of web services into the triangular fuzzy number,and constructs a group decision making function based on the full use of the triangular fuzzy number nature,realizing normalization of indicators.On this basis,we propose a fuzzy-multiple attributive group decision making algorithm based on priority matrix sorting to implement comprehensive evaluation for web services.Finally,this method is proved feasible and effective in the evaluation of the web services by means of instance analysis.

关 键 词：群决策 多属性 三角模糊数 WEB服务 优化算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]