fuzzy programming meaning in English
模糊规划
Examples
- This paper studies the ways to comfotmate the models of portfolio investment combi - nation , and demonstration analysis , divided into three parts . the first part : exordium . mainly introduces the risk of portfolio investment . the second part : brings forward several kinds of investment combination model , including the traditional markowitz model , multiobjective programming and fuzzy programming . the third part : goes along with the demonstration analysis of each kind of model basted on the shanghai stock market , at the same time , appraises the superiority and inferiority with the single - parameter measurement of tangible achievement . before then , most papers discussed the static models , this paper extends the static models to the dynamic models by the means of weighted moving average and bayes estimation
本文研究了证券投资组合模型的构造方法及其实证分析，分三部分进行：第一部分，绪论，主要介绍证券投资的风险；第二部分，提出几种投资组合模型，在传统的马柯维茨模型及线性规划的基础上，本文另外提出多目标规划的其它解法，并把前人模糊规划的理论应用到具体的建模中；第三部分，根据我国的沪市行情，对各种模型进行实证分析，并利用实绩的单参数度量对各种模型的优劣性进行评价。 - Secondly , we give the mathematic fuzzy environment and satisfactory decision - making . then make a summary of the method how to resolve a satisfying optimization problem , finally , we research a kind of method based on fuzzy programming to solve a satisfied optimization problem with some constrains and this method has been verified by the simulation results
在此基础上对一类模糊不确定环境中存在生产约束时的满意优化控制问题，在预测控制的框架下把具有模糊边界约束的有限预测时域的优化问题转化为等价的确定性规划问题，并且进行了仿真，仿真结果表明了该算法是有效的。 - The conclusion is : multiobjective programming and fuzzy programming are superior to the traditional markowitz model , compart : s the dynamic models with the static models , the former can reponse more soon to the wave of the stock price , so we can adjust period by period based on the dynamic models
本文得出的结论是：多目标规划及模糊规划等方法优于传统的马柯维茨模型，在实证检验中表现出更高的投资效率，动态的模型与静态的模型相比，能更快地对股价波动作出反应，可进行逐期调整。 - Traditional uncertain programming mainly contains stochastic programming and fuzzy programming , which have many applications in manufacture , economy and management etc . especially , the theory of stochastic or fuzzy linear programming is more complete , so it has more applications than stochastic or fuzzy nonlinear programming
传统的不确定规划主要分为两大类：随机规划和模糊规划，并且在生产、经济及管理等诸多方面已有广泛的应用，特别是随机线性规划和模糊线性规划理论较为完善，应用更加广泛。