摘要
文章针对已有梯形直觉模糊数得分函数和精确函数的缺陷和不足,定义了新的得分函数和精确函数,并在此基础上提出了基于相关系数的多准则群决策方法,用于解决专家权重信息未知的梯形直觉模糊数群决策问题。通过得分函数计算专家权重,比较加权方案值与正负理想方案值的相关系数得到排序结果。最后通过实例分析对比说明了该方法的有效性。
For the defect of existing score function and accuracy function of the trapezoid intuitionistic fuzzy number,the new score function and accuracy function are defined.And a multi-criteria group decision-making method based on the correlation coefficient is proposed in order to solve the trapezoid intuitionistic fuzzy problems where the information about expert weights is completely unknown.The expert weights are obtained according to the score function,and the final ranking result is obtained by comparing the correlation coefficient between the weighted alternatives and the ideal-positive and ideal-negative alternatives.Finally,the effectiveness of the proposed method is demonstrated by a comparative analysis.
引文
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