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一类全系数模糊规划问题及其求解方法 被引量:1

A Class of All-coefficient-fuzzy Programming and Its Algorithm
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摘要 模糊规划是不确定规划的重要一类,对许多带有模糊信息的实际问题都能进行有效地处理,对模糊规划的求解方法进行讨论不仅具有理论意义,还具有实际意义。为寻求一类全系数模糊规划问题的求解方法,利用三角(或梯形)模糊数的排序准则并结合禁忌搜索算法设计了一种求解系数均为三角(或梯形)模糊数的规划模型的人工智能算法。数值算例表明笔者所提方法行之有效。 As one of the most important uncertain programming, fuzzy programming has been widely used. It applies the theory and method of fuzzy mathematics to programming problems so that fuzzy optimization problems can be solved effectively. Many real-world problems can be deduced to fuzzy programming problems, therefore it makes sense to discuss the algorithm to them. In this paper, we construct a model of all-coefficient-fuzzy programming, in which all the coefficients are triangular (or trapezoidal) fuzzy numbers. Then we design the tabu search algorithm, which is based on a ranking criterion of fuzzy numbers, to solve the model. Finally, we give a numerical example to show the efficiency of this algorithm.
作者 冯媛
出处 《北京石油化工学院学报》 2006年第3期62-64,共3页 Journal of Beijing Institute of Petrochemical Technology
关键词 三角模糊数 梯形模糊数 模糊规划 禁忌搜索算法 triangular fuzzy number trapezoidal fuzzy number fuzzy programming tabu search algorithm
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参考文献5

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  • 1田澎,博士学位论文,1993年

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