Language is a preferred way for evaluators to express their opinions. As an important part of qualitative decision making, computing with words mainly focuses on transferring linguistic information to numerical values for operations. A significant challenge is how to model the meaning of linguistic information given by evaluators. This study aims to explore the principle of an evaluator to judge alternatives over different kinds of criteria and establish linguistic scale functions to simulate the personalized semantics of linguistic terms. In addition a dual linguistic scale in the form of linguistic terms and numerical meanings is developed to represent decision information. We then develop a method called the dual linguistic scale-based digitization and exploitation method to deduce the ranking of alternatives for multiple criteria decision-making problems, which considers the personalized cognition of evaluators and the personalized requirements of decision-makers for the trade-offs between criteria A case study concerning the scrap steel remanufacturing is conducted to demonstrate the validity of the proposed method. The results demonstrate that linguistic computational models have an influence on the ranking results of alternatives.

语言是评估人员表达意见的首选方式。作为定性决策的重要组成部分，用文字进行计算主要集中在将语言信息转换为用于操作的数值。一个重要的挑战是如何对评估者给出的语言信息的含义进行建模。这项研究旨在探索一种评估器的原理，以判断不同类型标准的替代方案，并建立语言规模函数，以模拟语言术语的个性化语义。另外，开发了以语言术语和数字含义形式的双语言量表来表示决策信息。然后，我们开发一种称为基于双语言尺度的数字化和开发方法，以推断出多准则决策问题的备选方案的排名，该方法考虑了评估者的个性化认知和决策者在权衡中的个性化需求。在标准之间进行了有关废钢再制造的案例研究，以证明所提出方法的有效性。结果表明，语言计算模型对替代方案的排名结果有影响。