In a real or practical situation, there often exist different priority levels and interactions among the criteria of the MCDM problems. This paper combines the prioritized average operator with the normalized weighted geometric Bonferroni mean operator under the Einstein operational law of interval neutrosophic numbers (INNs) to propose the interval neutrosophic Einstein prioritized normalized weighted geometric Bonferroni mean (INEPNWGBM) operator to deal with the prioritization and correlation among the criteria in the real-life decision making problems. Then, some desired properties of the proposed aggregation operator are discussed. Furthermore, an approach to multicriteria decision making based on the Einstein prioritized normalized weighted geometric Bonferroni mean is developed. Finally, a numerical example is provided to illustrate the proposed approach.

在实际或实际情况下，MCDM 问题的标准之间经常存在不同的优先级和相互作用。本文结合区间中智数（INNs）爱因斯坦运算定律下的优先平均算子和归一化加权几何Bonferroni均值算子，提出区间中智爱因斯坦优先归一化加权几何Bonferroni均值（INEPNWGBM）算子来处理优先化和相关性现实生活中的决策问题中的标准之一。然后，讨论了所提出的聚合算子的一些期望属性。此外，还开发了一种基于爱因斯坦优先归一化加权几何 Bonferroni 均值的多标准决策方法。最后，