基于改进的多因素模糊算法的网络模型定量分析  

The Research of Network ModelQuantitative Analysis Based on the Improved Algorithm of Multi-factor Fuzzy

作　　者：张裔智[1] 刘建峰[1] 孙波[1] 

机构地区：[1]重庆三峡学院网络中心

出　　处：《西南师范大学学报（自然科学版）》2010年第4期125-129,共5页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：万州区科委资助项目(20083001)

摘　　要：改进了多因素模糊综合算法,介绍了从IPv4迁移到IPv6的几种主要的技术模型,利用改进的多因素模糊综合算法对3种过渡技术模型进行量化评价,根据用户要求给出了优化模型.This article mainly focuses on how to improve the algorithm of Multi-factor Fuzzy,and introduces some models about the technology of moving from IPv4to IPv6.And also in this paper,three technology transition models are quantitative evaluated by the improved algorithm of Multi-factor Fuzzy and the optimization model is given based on the need of customers.

关 键 词：综合评判 过渡技术模型 多因素模糊算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]