A multiple attribute group decision-making method based on the partitioned Bonferroni mean of linguistic intuitionistic fuzzy numbers

P Liu, J Liu - Cognitive Computation, 2020 - Springer
As a more effective linguistic information representation model, the linguistic intuitionistic
fuzzy number (LIFN), made up of the linguistic membership degree (LMD) and the linguistic …

Multiattribute group decision making methods based on linguistic intuitionistic fuzzy power Bonferroni mean operators

P Liu, X Liu - Complexity, 2017 - Wiley Online Library
This paper focuses on the multiattribute group decision making problems with linguistic
intuitionistic fuzzy information. Firstly the concept of linguistic intuitionistic fuzzy numbers …

Multiple attribute group decision making based on advanced linguistic intuitionistic fuzzy weighted averaging aggregation operator of linguistic intuitionistic fuzzy …

K Kumar, SM Chen - Information Sciences, 2022 - Elsevier
In this paper, we propose a new multiple attribute group decision making (MAGDM) method
based on the proposed advanced linguistic intuitionistic fuzzy weighted averaging (ALIFWA) …

Partitioned Heronian means based on linguistic intuitionistic fuzzy numbers for dealing with multi-attribute group decision making

P Liu, J Liu, JM Merigó - Applied Soft Computing, 2018 - Elsevier
Heronian mean (HM) operator has the advantages of considering the interrelationships
between parameters, and linguistic intuitionistic fuzzy number (LIFN), in which the …

An approach to multiple attribute group decision making based on linguistic intuitionistic fuzzy numbers

Z Chen, P Liu, Z Pei - International Journal of Computational Intelligence …, 2015 - Springer
Motivated by intuitionistic fuzzy sets and fzzy linguistic approach, this article proposes the
concept of linguistic intuitionistic fuzzy numbers (LIFNs) where membership and and …

Multiple attribute group decision making based on intuitionistic fuzzy interaction partitioned Bonferroni mean operators

P Liu, SM Chen, J Liu - Information Sciences, 2017 - Elsevier
The partitioned Bonferroni mean (PBM) operator and the partitioned geometric Bonferroni
mean (PGBM) operator assume that all attributes are partitioned into several parts, where …

Linguistic intuitionistic fuzzy hamy mean operators and their application to multiple-attribute group decision making

P Liu, X Liu - Ieee Access, 2019 - ieeexplore.ieee.org
The Hamy Mean (HM) operator is a useful aggregation tool characterized by considering the
correlation between multiple integral parameters. The linguistic intuitionistic fuzzy numbers …

Interval-valued intuitionistic fuzzy power Bonferroni aggregation operators and their application to group decision making

P Liu, H Li - Cognitive Computation, 2017 - Springer
The power Bonferroni mean (PBM) operator can take the advantages of power operator and
Bonferroni mean operator, which can overcome the influence of the unreasonable attribute …

[HTML][HTML] Some trapezoid intuitionistic fuzzy linguistic Maclaurin symmetric mean operators and their application to multiple-attribute decision making

Z Dong, Y Geng - Symmetry, 2021 - mdpi.com
In order to solve multiple-attribute group decision-making (MAGDM) problems under a
trapezoid intuitionistic fuzzy linguistic (TIFL) environment and the relationships between …

Linguistic intuitionistic fuzzy Hamacher aggregation operators and their application to group decision making

J Tang, F Meng - Granular Computing, 2019 - Springer
Linguistic intuitionistic fuzzy variables (LIFVs) can efficiently denote the qualitative preferred
and non-preferred cognitions of decision makers. This paper researches group decision …