基于梯形直觉模糊数的TOPSIS多属性决策方法
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Multi-attribute Decision-making Based on Trapezoidal Intuitionistic Fuzzy Numbers TOPSIS Method
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    摘要:

    针对属性值为梯形直觉模糊数的多准则决策问题,给出了一种基于梯形直觉模糊数的TOPSIS多属性决策方法.根据提出的梯形直觉模糊数的Hamming距离公式,计算各方案和梯形直觉模糊数正负理想方案的距离,从而求得各方案和正理想解的相对贴近度,基于贴近度大小对方案集进行排序.最后,用数值实例进一步说明了该梯形直觉模糊TOPSIS方法的有效性和实用性.

    Abstract:

    For multi-attribute decision-making problems,in which the values of attributes are trapezoidal intuitionistic fuzzy numbers,a method of TOPSIS multi-attribute decision making based on trapezoidal intuitionistic fuzzy numbers was proposed.A Hamming distance formula for trapezoidal intuitionistic fuzzy numbers was defined.By this Hamming distance formula the distances between each program and the positive ideal-solution as well as the negative ideal-solution of the trapezoidal intuitionistic fuzzy numbers were calculated.The relative closeness to the ideal-solution of alternatives was acquired and the ranking of the alternatives set was conduted by comparing the relative closeness of alternatives.The result of a numerical example further illustrates the practicality and efficiency of the new extended TOPSIS method.

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周晓辉,姚俭,吴天魁.基于梯形直觉模糊数的TOPSIS多属性决策方法[J].上海理工大学学报,2014,36(3):281-286.

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  • 收稿日期:2013-05-27
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  • 在线发布日期: 2014-07-10
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