Linguistic distribution expressions provide a flexible way for decision makers to express their opinions in linguistic decision making. When working with a linguistic distribution, words mean different things for different people, i.e., decision makers have personalized individual semantics (PISs) regarding words. Therefore, in this paper, we propose a consistency-driven methodology to manage distribution linguistic preference relations (DLPRs) with PISs. This methodology can not only estimate the ignorance elements in incomplete DLPRs but also obtain the personalized numerical meanings of linguistic expressions to decision makers. In this way, we can combine the characteristics of the personalized representation in linguistic decision making and guarantee the optimum consistency of incomplete DLPRs with ignorance elements. Detailed numerical and comparison analyses have been proposed to justify our proposal.

语言分布表达为决策者提供了一种灵活的方式来表达他们在语言决策中的观点。当使用语言分布时，单词对不同的人意味着不同的意思，即决策者对单词具有个性化的个性化语义（PIS）。因此，在本文中，我们提出了一种一致性驱动的方法来管理带有PIS的分发语言偏好关系（DLPR）。这种方法不仅可以估计不完整DLPR中的无知元素，而且可以为决策者获得语言表达的个性化数字含义。这样，我们可以在语言决策中结合个性化表示的特征，并确保不完整DLPR与无知元素的最佳一致性。