There are many uncertain issues. To address these problems, many theories and models has been proposed. The conjunction of possibility measures can conjunct different possibility measures and deal with issues of decision making, which is an interesting model and has promising prospect. Meanwhile, the intuitionistic evidence sets is based on the intuitionistic basic probability assignment, which means that the intuitionistic evidence sets can degenerate into classical basic probability assignment in some special cases. The intuitionistic evidence sets is more flexible and effective than the classical basic probability assignment. However, the conjunction of possibility measures has not been applied to intuitionistic evidence sets. So, what the conjunction of possibility measures to intuitionistic evidence sets is still an issue that need be discussed. To address this issue, this paper proposes the conjunction of possibility measures under intuitionistic evidence sets. Numerical comparison experiments are illustrated to prove the validity of the conjunction of possibility measures under intuitionistic evidence sets. The experimental results prove the proposed model can not only apply the conjunction of possibility measures to the intuitionistic evidence sets effectively, but also solve effectively the issues of decision making than other similar models.

存在许多不确定的问题。为了解决这些问题，已经提出了许多理论和模型。可能性度量的结合可以合并不同的可能性度量并处理决策问题，这是一个有趣的模型，并且具有广阔的前景。同时，直觉证据集基于直觉基本概率分配，这意味着在某些特殊情况下，直觉证据集可以退化为经典的基本概率分配。直觉证据集比经典的基本概率分配法更灵活，更有效。但是，可能性度量的结合尚未应用于直觉证据集。所以，可能性度量与直觉证据集的结合仍然是一个需要讨论的问题。为了解决这个问题，本文提出了直觉证据集下可能性度量的结合。通过数值比较实验说明了直觉证据集下可能性测度合取的有效性。实验结果证明，所提出的模型不仅可以有效地将直觉证据集应用于直觉证据集，而且可以有效地解决决策问题。通过数值比较实验证明了直觉证据集下可能性测度合取的有效性。实验结果表明，所提出的模型不仅可以有效地将直觉证据集与可能性度量相结合，而且可以有效地解决决策问题。通过数值比较实验说明了直觉证据集下可能性测度合取的有效性。实验结果证明，所提出的模型不仅可以有效地结合直觉证据集的可能性度量，而且可以有效地解决决策问题。