Paper Info
Title
A survey of decision-making methods with probabilistic linguistic information: bibliometrics, preliminaries, methodologies, applications and future directions
Abstract
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.
Year
DOI
Venue
2020
10.1007/s10700-019-09309-5
Fuzzy Optimization and Decision Making
Keywords
Field
DocType
Probabilistic linguistic term sets, Bibliometric analysis, Decision-making methods, Preference relations, Survey
Rule-based machine translation,Mathematical optimization,Multiple criteria,Theoretical linguistics,Expression (mathematics),Bibliometrics,Probabilistic logic,Management science,Mathematics
Journal
Volume
Issue
ISSN
19
1
1568-4539
Citations 
PageRank 
References 
11
0.47
0
Authors
3
Name
Order
Citations
PageRank
Huchang Liao1160967.71
Xiaomei Mi2252.70
Zeshui Xu314310599.02