fuzzy linear programming meaning in English
模糊线性规划
模糊线性规则
Examples
- Considering uncertainty of crude oils supplying , uncertainty of the capability and yield of equipments , uncertainty of the price of crude oils . the result is compared with the result found by pros vi . 5 , verifying the advantage and realizability of fuzzy linear programming . the model can be used to workout a short - term , middle - term , long - term production plan , also it can be modified to optimize stratagem programming with more uncertainties
建立了兰州炼油厂的生产计划模糊模型，该模型综合考虑了原油供给的不确定性、生产装置的生产负荷和收率分布的不确定性、原油价格的不确定性，并进行了求解，求解结果和申迪公司图形建模优化排产软件模型结果作了对比，证明模糊优化方法编制炼油厂生产计划的可实现性和优越性。 - The paper also analysis the change of benefits and distribute of the water resources when we have different prices on yellow river water . in consideration of the short of yellow river , the paper presents the optimization decision variable , i . e . , the yellow river water volumes used for irrigation , by applying the tolerance approach of fuzzy linear programming
鉴于目前灌区已超计划用黄河水，将来无法实施充分灌溉的事实，本文对引黄可供水量进行了水资源模糊优化，并运用模糊线性规划容差法，给出了最大隶属度下的引黄水量最优决策方案。 - In spite of different methods to a fuzzy optimal solution to the two classes of fuzzy linear programming , these methods have similar ideas : first is to fuzzify the objective function and constraints , i . e . , to display the definition of fuzzy membership function . second is to transfer the fuzzy linear programming into one general linear programming , based on the fuzzy decision , then we can obtain the fuzzy optimal solution by solving this linear programming
虽然求这两类模糊线性规划的模糊最优解的方法并不相同，但其思想具有相似性：首先是把目标函数或约束条件模糊化，给出他们的隶属函数的定义；然后给出模糊判决，在此基础上，规划最终都可化为求一个普通规划的解，这个解可看成模糊线性规划的模糊最优解。 - Lastly , in the thesis the fuzzy linear programming with fuzzy variables is discussed . in practice , there are many problems in which all decision parameters are fuzzy numbers , and either possibilistic programming or multiobjective programming methods usually solves such problems . unfortunately , all these methods have shortcomings
实际上，在许多的数学规划问题中，所有决策变参量都为模糊数，对于此类问题通常采用可能性规划或多目标规划方法来解决，遗憾的是，所有这些方法均存在不足。 - 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。