A survey of decision-making methods with probabilistic linguistic information: bibliometrics, preliminaries, methodologies, applications and future directions

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...

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Bibliographic Details
Published in:Fuzzy optimization and decision making 2020-03, Vol.19 (1), p.81-134
Main Authors: Liao, Huchang, Mi, Xiaomei, Xu, Zeshui
Format: Article
Language:English
Subjects:
Artificial Intelligence
Bibliometrics
Calculus of Variations and Optimal Control
Optimization
Computation
Decision analysis
Decision making
Decision theory
Linguistics
Mathematical Logic and Foundations
Mathematics
Mathematics and Statistics
Multiple criterion
Operations Research/Decision Theory
Optimization
Probabilistic methods
Probability Theory and Stochastic Processes
Researchers
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Summary: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.
ISSN:1568-4539
1573-2908
DOI:10.1007/s10700-019-09309-5