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fuzzy linear programming中文是什么意思

  • 模糊线性规划
  • 模糊线性规则

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  • 例句与用法
  • Moreover , we proved that when the fuzzy decision is equal to 0 . 5 , the optimal solution to fuzzy linear programming can be obtained if the linear programming ( lo ) and ( la ) have identical optimal basic
    从而导出,若线性规划( lo )和( l1 )有相同的最优基,模糊线性规划的最优解在模糊判决为= 0 . 5时达到。
  • Furthermore , the value of optimal solution are decided by the fuzzy decision a . at the same time : when the fuzzy linear programming is degenerate , results mentioned above still hold
    而且最优解的值由所得的模糊判决决定。与此同时,本文还论证了:当模糊线性规划为退化情形时,上述模糊判决的结果依然成立。
  • This paper has four chapters . matrix form of the simplex method , the definition , properties and operation of fuzzy sets and the definition of fuzzy linear programming have been introduced in the first chapter
    全篇共分为四章,第一章简单介绍了单纯形法的矩阵形式,模糊集的定义,性质和运算,给出了模糊线性规划的定义。
  • At last , a method to fuzzy linear programming with fuzzy constraints is presented , and it is illustrated that the conclusion of this paper are correct and this algorithm is more simplex algorithm by numerical example
    最后给出了约束条件带有模糊性的模糊线性规划的相应解法,并用实例说明了本文结论的正确性与算法的简捷性。
  • In term of the difference in the form of fuzzinesss , fuzzy linear programming can be divided into two classes : one is that the objective function or constraints are uncertain , but their coefficients and constant belong to real numbers . the other is that at least one of the coefficients of the objective function and constraint are fuzzy numbers
    根据模糊性出现形式的不同,把模糊线性规划分成两类:是目标函数或约束条件带有模糊关系,为非精确定义,但系数和常数为普通实数;是目标函数或约束条件的系数有一个或多个为模糊数。
  • 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。
  • 更多例句:  1  2  3
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Last modified time:Sun, 10 Aug 2025 00:29:56 GMT

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