An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean
The well‐known Maclaurin symmetric mean (MSM) and the dual MSM (DMSM) are
introduced as important operators to handle multiattribute group decision making (MAGDM) …
introduced as important operators to handle multiattribute group decision making (MAGDM) …
Multi-attribute group decision-making based on probabilistic dual hesitant fuzzy Maclaurin symmetric mean operators
In this study, we put forward the dual Maclaurin symmetric mean (DMSM) and the Maclaurin
symmetric mean (MSM) operators with the context of the probabilistic dual hesitant fuzzy set …
symmetric mean (MSM) operators with the context of the probabilistic dual hesitant fuzzy set …
Maclaurin symmetric means of dual hesitant fuzzy information and their use in multi-criteria decision making
Z Zhang - Granular Computing, 2020 - Springer
This paper investigates the Maclaurin symmetric mean (MSM) within the context of dual
hesitant fuzzy sets and develops the dual hesitant fuzzy Maclaurin symmetric mean …
hesitant fuzzy sets and develops the dual hesitant fuzzy Maclaurin symmetric mean …
Some new dual hesitant fuzzy aggregation operators based on Choquet integral and their applications to multiple attribute decision making
Y Ju, S Yang, X Liu - Journal of Intelligent & Fuzzy Systems, 2014 - content.iospress.com
With respect to multiple attribute decision making (MADM) problems in which the attributes
are inter-dependent and take the form of dual hesitant fuzzy elements, a new MADM method …
are inter-dependent and take the form of dual hesitant fuzzy elements, a new MADM method …
Dual hesitant fuzzy power aggregation operators based on Archimedean t-conorm and t-norm and their application to multiple attribute group decision making
L Wang, Q Shen, L Zhu - Applied Soft Computing, 2016 - Elsevier
Multi-criteria decision making (MCDM) has been a hot topic in decision making and systems
engineering. The dual hesitant fuzzy sets (DHFSs) is a useful tool to deal with vagueness …
engineering. The dual hesitant fuzzy sets (DHFSs) is a useful tool to deal with vagueness …
Hesitant fuzzy Maclaurin symmetric mean operators and its application to multiple-attribute decision making
In this paper, we investigate the multiple-attribute decision-making (MADM) problems based
on traditional Maclaurin symmetric mean operator operating under hesitant fuzzy …
on traditional Maclaurin symmetric mean operator operating under hesitant fuzzy …
Multiple-attribute decision making method based on power generalized maclaurin symmetric mean operators under normal wiggly hesitant fuzzy environment
A normal wiggly hesitant fuzzy set is a very useful tool to mine the potential uncertain
information given by decision makers, which is considered as an extension of hesitant fuzzy …
information given by decision makers, which is considered as an extension of hesitant fuzzy …
Hybridizations of Archimedean copula and generalized MSM operators and their applications in interactive decision-making with q-rung probabilistic dual hesitant …
The q-rung probabilistic dual hesitant fuzzy sets (qRPDHFSs), which outperform dual
hesitant fuzzy sets, probabilistic dual hesitant fuzzy sets, and probabilistic dual hesitant …
hesitant fuzzy sets, probabilistic dual hesitant fuzzy sets, and probabilistic dual hesitant …
Aggregation of dual hesitant fuzzy heterogenous related information with extended Bonferroni mean and its application to MULTIMOORA
As an effective evaluation format, dual hesitant fuzzy sets (DHFSs) have became a powerful
technique in addressing uncertainty and fuzziness in decision making. Considering the …
technique in addressing uncertainty and fuzziness in decision making. Considering the …
Interval-valued dual hesitant fuzzy Heronian mean aggregation operators and their application to multi-attribute decision making
Y Zang, X Zhao, S Li - International Journal of Computational …, 2018 - World Scientific
The interval-valued dual hesitant fuzzy set (IVDHFS) can depict the imprecise, vague and
indeterminate information and Heronian mean (HM) has the prominent characteristic of …
indeterminate information and Heronian mean (HM) has the prominent characteristic of …