Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making
In some real-world decision processes, decision makers may prefer to provide their opinions
using linguistic expressions instead of a single linguistic term. Particularly, they may hesitate …
using linguistic expressions instead of a single linguistic term. Particularly, they may hesitate …
Group decision making based on linguistic distributions and hesitant assessments: Maximizing the support degree with an accuracy constraint
The hesitant fuzzy linguistic term set (HFLTS) and the linguistic distribution are becoming
popular tools to model linguistic expressions with multiple linguistic terms in decision …
popular tools to model linguistic expressions with multiple linguistic terms in decision …
A consensus model for hesitant fuzzy linguistic group decision-making in the framework of Dempster–Shafer evidence theory
In group decision-making (GDM), a consensus building process (CRP) is necessary to
improve the level of consensus within the group. This paper develops a new CRP model for …
improve the level of consensus within the group. This paper develops a new CRP model for …
A global optimization feedback model with PSO for large scale group decision making in hesitant fuzzy linguistic environments
In an increasingly complex and uncertain decision-making environment, large-scale group
decision-making (LSGDM) can offer a more efficient method, allowing a large number of …
decision-making (LSGDM) can offer a more efficient method, allowing a large number of …
A novel probabilistic linguistic approach for large-scale group decision making with incomplete weight information
X Zhang - International Journal of Fuzzy Systems, 2018 - Springer
The large-scale group decision-making (GDM) problems with linguistic information have
received more and more attentions; however, how to effectively manage the linguistic …
received more and more attentions; however, how to effectively manage the linguistic …
A cohesion-driven consensus reaching process for large scale group decision making under a hesitant fuzzy linguistic term sets environment
Large-scale group decision-making (LSGDM) under uncertainty modelled by comparative
linguistic expressions based on a hesitant fuzzy linguistic term set (HFLTS) has recently …
linguistic expressions based on a hesitant fuzzy linguistic term set (HFLTS) has recently …
Signed distance-based consensus in multi-criteria group decision-making with multi-granular hesitant unbalanced linguistic information
This study aims to deal with hesitant fuzzy linguistic multi-criteria group decision-making
(MCGDM) problems with multi-granular unbalanced linguistic term sets. Firstly, a signed …
(MCGDM) problems with multi-granular unbalanced linguistic term sets. Firstly, a signed …
Reaching a consensus with minimum adjustment in MAGDM with hesitant fuzzy linguistic term sets
In real decision making, decision makers tend to express their opinions with uncertainty
when facing complicated decision problem and environment. This paper develops a novel …
when facing complicated decision problem and environment. This paper develops a novel …
Consensus improvement model in group decision making with hesitant fuzzy linguistic term sets or hesitant fuzzy linguistic preference relations
H Zhang, Y Dai - Computers & Industrial Engineering, 2023 - Elsevier
Hesitant fuzzy linguistic term sets (HFLTSs) and hesitant fuzzy linguistic preference relations
(HFLPRs) are widely used where decision makers are permitted to provide qualitative …
(HFLPRs) are widely used where decision makers are permitted to provide qualitative …
Consensus reaching with consistency control in group decision making with incomplete hesitant fuzzy linguistic preference relations
Due to complicated decision environment and limited knowledge of decision makers,
decision makers may provide incomplete hesitant fuzzy linguistic preference relations …
decision makers may provide incomplete hesitant fuzzy linguistic preference relations …