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A New Method for Fuzzy Multiple Attribute Decision Making Based on Interval Numbers

机译:基于区间数的模糊多属性决策新方法

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In multiple attribute decision making, attribute value and attribute weight can't be often given the exact value, they are sometimes given in the form of interval numbers. This paper first describes interval numbers multiple attribute decision making, defines interval numbers, positive ideal point and negative ideal point of interval numbers. Then proposes a new method for fuzzy multiple attribute decision making, computes the distance between each alternative and positive, negative ideal point of interval numbers, then finds out each alternative' closeness degree for ideal point, according to closeness degree, we can order the alternatives. Finally, an example is given to illustrate the proposed methods, the example shows this method's validity and feasibility.
机译:在多个属性决策中,属性值和属性权重不能经常给出精确值,它们有时以间隔号的形式给出。本文首先描述了间隔数多个属性决策,定义了区间数,正面理想点和否定的间隔数字。然后提出一种用于模糊多个属性决策的新方法,计算每个替代和正的否定的间隔数之间的距离,然后根据近距离找到每个替代的'近距离的理想点,我们可以订购替代方案。最后,给出了一个例子来说明所提出的方法,该示例显示了该方法的有效性和可行性。

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