首页> 外文会议>International FLINS(Fuzzy Logic and Intelligent Technologies in Nuclear Science) Conference; 20040901-03; Blankenberge(BE) >A FUZZY GOAL APPROXIMATE ALGORITHM FOR SOLVING MULTIPLE OBJECTIVE LINEAR PROGRAMMING PROBLEMS WITH FUZZY PARAMETERS
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A FUZZY GOAL APPROXIMATE ALGORITHM FOR SOLVING MULTIPLE OBJECTIVE LINEAR PROGRAMMING PROBLEMS WITH FUZZY PARAMETERS

机译:用模糊参数求解多目标线性规划问题的模糊目标近似算法。

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摘要

Many business decisions can be modeled as multiple objective linear programming (MOLP) problems. When formulating a MOLP problem, objective functions and constraints involve many parameters which possible values are assigned by the experts who are often imprecisely or ambiguously known. So, it would be more appropriate for these parameters to be represented by fuzzy numbers. In this paper, a new fuzzy goal approximate algorithm is developed for solving fuzzy multiple objective linear programming (FMOLP) problems with fuzzy parameters when the fuzzy goals for the objective functions need to be achieved. And an illuminative example is also given to illustrate the algorithm developed.
机译:许多业务决策可以建模为多目标线性规划(MOLP)问题。在提出MOLP问题时,目标函数和约束条件涉及许多参数,这些值通常由不精确或模棱两可的专家指定。因此,将这些参数用模糊数表示会更合适。本文提出了一种新的模糊目标近似算法,当需要达到目标函数的模糊目标时,可以解决带有模糊参数的模糊多目标线性规划(FMOLP)问题。并举例说明了算法的发展。

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