模糊理论在网络优化中的应用  

Application of Fuzzy Theory in Network Optimization

作　　者：宋旭东[1] 王亚伟[1] 侯海平[1] 张通学[1] 

机构地区：[1]大连交通大学软件学院,辽宁大连116028

出　　处：《大连交通大学学报》2007年第3期71-74,共4页Journal of Dalian Jiaotong University

摘　　要：随着网络应用范围的拓宽,应用中使用了大量的模糊语言,比如"费用高"、"距离远"和"代价低"等等,对于这类问题难以建立精确的数学模型.提出了运用模糊理论来解决网络优化中遇到的这类不确定的、模糊的问题,并结合一个具有模糊性的网络优化问题实例,建立数学模型,编写Java程序实现求解过程.最后通过对建模结果的验证,说明方法是有效的和可行的.With the extension of network used, for example high expenses, long application, a great deal of fuzzy language have been distance and low cost and so on. It ll be difficult to build precise mathematical models for these fuzzy problems. This paper suggests applying fuzzy theory to solve the undefined and fuzzy problems of the network optimization. Based on a fuzzy network optimization problem, build mathematical model and then find the answer to the problem by making a Java program. The validation of the modeling result shows that the proposed method is feasible and effective.

关 键 词：模糊理论 网络优化 数学模型 JAVA 

分 类 号：TP11[自动化与计算机技术—控制理论与控制工程]