Nested probabilistic-numerical linguistic term sets in two-stage multi-attribute group decision making

X Wang, Z Xu, X Gou - Applied Intelligence, 2019 - Springer
Fuzzy linguistic approach is considered as an effective solution to accommodate
uncertainties in qualitative decision making. In the face of increasingly complicated …

Probabilistic linguistic term sets in multi-attribute group decision making

Q Pang, H Wang, Z Xu - Information Sciences, 2016 - Elsevier
When expressing preferences in qualitative setting, several possible linguistic terms with
different weights (represented by probabilities) may be considered at the same time. The …

Interval‐valued probabilistic linguistic term sets in multi‐criteria group decision making

C Bai, R Zhang, S Shen, C Huang… - International Journal of …, 2018 - Wiley Online Library
The theory of probabilistic linguistic term sets (PLTSs) is very useful in objectively dealing
with the multi‐criteria group decision making (MCGDM) problems in which there is hesitancy …

Uncertain linguistic terms with weakened hedges for multi-granular linguistic decision making with its application to evaluating communication technologies

C Jin, Z Xu, X Zeng - Applied Intelligence, 2022 - Springer
Due to the complex application scenarios and different user requirements, it is usually
difficult to evaluate communication technologies objectively and comprehensively …

A model based on linguistic 2-tuples for dealing with heterogeneous relationship among attributes in multi-expert decision making

B Dutta, D Guha, R Mesiar - IEEE Transactions on Fuzzy …, 2014 - ieeexplore.ieee.org
Classical Bonferroni mean, defined by Bonferroni in 1950, assumes homogeneous relation
among the attributes, ie, each attribute A is related to the rest of the attributes A {A i, where …

Uncertain probabilistic linguistic term sets in group decision making

C Jin, H Wang, Z Xu - International Journal of Fuzzy Systems, 2019 - Springer
The probabilistic linguistic term set has been proposed to deal with the probabilistic
distribution in providing linguistic assessments. However, because of various subjective and …

A DEMATEL-based method for linguistic multiple attributes group decision making using strict t-norms and t-conorms

L Yao, Z Yi - Systems, 2022 - mdpi.com
To evaluate fuzzy information precisely, researchers and practitioners are apt to use
linguistic variables to model vague or uncertain contexts in natural language. In this paper …

Unbalanced probabilistic linguistic decision-making method for multi-attribute group decision-making problems with heterogeneous relationships and incomplete …

F Teng, P Liu, X Liang - Artificial Intelligence Review, 2021 - Springer
In group decision-making problems, decision makers prefer to use several linguistic terms to
describe their own perception and knowledge, and give their preference intensity of each …

[HTML][HTML] The multiattribute group decision making method based on aggregation operators with interval-valued 2-tuple linguistic information

H Zhang - Mathematical and Computer Modelling, 2012 - Elsevier
Many researchers have proposed lots of 2-tuple linguistic models and applied them to
multiattribute group decision making (MAGDM) problems. Based on the definition of an …

An integrated method for multiattribute group decision making with probabilistic linguistic term sets

GL Xu, SP Wan, XB Li, FX Feng - International Journal of …, 2021 - Wiley Online Library
This paper investigates multiple attribute group decision making (MAGDM) with probabilistic
linguistic term sets (PLTSs) and proposes an integrated decision method for solving such …