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A survey of decision-making methods with probabilistic linguistic information: bibliometrics, preliminaries, methodologies, applications and future directions
Fuzzy Optimization and Decision Making ( IF 4.7 ) Pub Date : 2019-10-24 , DOI: 10.1007/s10700-019-09309-5
Huchang Liao , Xiaomei Mi , Zeshui Xu

Probabilistic linguistic term set (PLTS) has been proposed to tackle qualitative information efficiently in the decision-making process to achieve computing with expressions, which can be regarded as an advanced process of computing with words. The PLTS plays an important role in decision making by providing a comprehensive way for representing complex linguistic information. Owning to its usefulness and efficiency, the PLTS has attracted a lot of researchers’ attention, and fruitful research achievements regarding it has been published since it was introduced in 2016. As the probabilistic linguistic theory is still in its infancy, a survey of it contributes to understanding the previous topics and the current issues, and predicting the future research directions in this area. To implement these goals, this paper is organized by bibliometric analysis, definitions, multiple criteria decision-making methods, preference relations, and applications. Twelve future research directions related to the probabilistic linguistic decision-making theory are indicated. This paper provides some insights for researchers and practitioners who have interest in complex linguistic decision making.

中文翻译:

带有概率语言信息的决策方法的调查:文献计量学,初步,方法论,应用和未来方向

提出了概率语言术语集(PLTS),以在决策过程中有效地处理定性信息,从而实现使用表达式的计算,这可以看作是使用单词进行计算的高级过程。PLTS通过提供一种表示复杂语言信息的综合方法,在决策中起着重要作用。自从其实用性和有效性以来,PLTS吸引了许多研究人员的注意,并且自从2016年被引入以来,关于它的研究成果已经发表。了解先前的主题和当前的问题,并预测该领域的未来研究方向。为了实现这些目标,本文按文献计量分析,定义,多准则决策方法,偏好关系和应用进行组织。指出了与概率语言决策理论相关的十二个未来研究方向。本文为对复杂的语言决策感兴趣的研究人员和从业人员提供了一些见解。
更新日期:2019-10-24
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