Some intuitionistic uncertain linguistic Heronian mean operators and their application to group decision making
With respect to multiple attribute group decision making (MAGDM) problems in which both
the attribute weights and the expert weights take the form of crisp numbers, and attribute …
the attribute weights and the expert weights take the form of crisp numbers, and attribute …
Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making
P Liu, F Jin - Information Sciences, 2012 - Elsevier
With respect to multiple attribute group decision making (MAGDM) problems in which the
attribute weights and the expert weights take the form of real numbers and the attribute …
attribute weights and the expert weights take the form of real numbers and the attribute …
[HTML][HTML] Some geometric aggregation operators based on interval intuitionistic uncertain linguistic variables and their application to group decision making
P Liu - Applied Mathematical Modelling, 2013 - Elsevier
With respect to multiple attribute group decision making (MAGDM) problems in which both
the attribute weights and the expert weights take the form of crisp numbers, and attribute …
the attribute weights and the expert weights take the form of crisp numbers, and attribute …
[HTML][HTML] Some interval-valued intuitionistic uncertain linguistic Choquet operators and their application to multi-attribute group decision making
F Meng, X Chen, Q Zhang - Applied Mathematical Modelling, 2014 - Elsevier
In this study a generated admissible order between interval-valued intuitionistic uncertain
linguistic numbers using two continuous functions is introduced. Then, two interval-valued …
linguistic numbers using two continuous functions is introduced. Then, two interval-valued …
Intuitionistic uncertain linguistic partitioned Bonferroni means and their application to multiple attribute decision-making
The Bonferroni mean (BM) was originally introduced by Bonferroni and generalised by many
other researchers due to its capacity to capture the interrelationship between input …
other researchers due to its capacity to capture the interrelationship between input …
Some new intuitionistic linguistic aggregation operators based on Maclaurin symmetric mean and their applications to multiple attribute group decision making
Y Ju, X Liu, D Ju - Soft Computing, 2016 - Springer
With respect to multiple attribute group decision making (MAGDM) problems in which the
attributes are dependent and the attribute values take the forms of intuitionistic linguistic …
attributes are dependent and the attribute values take the forms of intuitionistic linguistic …
Uncertain linguistic harmonic mean operators and their applications to multiple attribute group decision making
JH Park, MG Gwak, YC Kwun - Computing, 2011 - Springer
In this paper, some uncertain linguistic aggregation operators called uncertain linguistic
weighted harmonic mean (ULWHM) operator, uncertain linguistic ordered weighted …
weighted harmonic mean (ULWHM) operator, uncertain linguistic ordered weighted …
Uncertain linguistic hybrid geometric mean operator and its application to group decision making under uncertain linguistic environment
GW Wei - International Journal of Uncertainty, Fuzziness and …, 2009 - World Scientific
In this paper, we propose an uncertain linguistic hybrid geometric mean (ULHGM) operator,
which is based on the uncertain linguistic weighted geometric mean (ULWGM) operator and …
which is based on the uncertain linguistic weighted geometric mean (ULWGM) operator and …
Some q‐rung orthopair uncertain linguistic aggregation operators and their application to multiple attribute group decision making
Z Liu, H Xu, Y Yu, J Li - International Journal of Intelligent …, 2019 - Wiley Online Library
Abstract q‐Rung orthopair fuzzy sets (q‐ROFSs), originally presented by Yager, are a
powerful fuzzy information representation model, which generalize the classical intuitionistic …
powerful fuzzy information representation model, which generalize the classical intuitionistic …
Some two-dimensional uncertain linguistic Heronian mean operators and their application in multiple-attribute decision making
Y Chu, P Liu - Neural Computing and Applications, 2015 - Springer
Heronian mean (HM) is an important aggregation operator which has the characteristic of
capturing the correlations of the aggregated arguments. In this paper, we first analyze the …
capturing the correlations of the aggregated arguments. In this paper, we first analyze the …