NH-MADM strategy in neutrosophic hesitant fuzzy set environment based on extended GRA
P Biswas, S Pramanik, BC Giri - Informatica, 2019 - content.iospress.com
Neutrosophic hesitant fuzzy set (NHFS) is a convincing tool that deals with uncertain
information. In this paper, we propose an NH-MADM strategy for solving MADM with NHFSs …
information. In this paper, we propose an NH-MADM strategy for solving MADM with NHFSs …
Neutrosophic Triplet Partial g-Metric Spaces.
In this chapter, neutrosophic triplet partial g-metric spaces are obtained. Then, some
definitions and examples are given for neutrosophic triplet partial g-metric space. Based on …
definitions and examples are given for neutrosophic triplet partial g-metric space. Based on …
[HTML][HTML] Correlation coefficient between dynamic single valued neutrosophic multisets and its multiple attribute decision-making method
J Ye - Information, 2017 - mdpi.com
Based on dynamic information collected from different time intervals in some real situations,
this paper firstly proposes a dynamic single valued neutrosophic multiset (DSVNM) to …
this paper firstly proposes a dynamic single valued neutrosophic multiset (DSVNM) to …
A novel two-stage multi-criteria decision-making method based on interval-valued Pythagorean fuzzy aggregation operators with self-confidence levels
Y Ji, Y Xu, S Qu, Z Xu, Z Wu, M Nabe - Arabian Journal for Science and …, 2021 - Springer
Due to insufficient information in multi-criteria decision-making (MCDM) problems, the
decision values given by experts are often fuzzy and uncertain. As an extension of …
decision values given by experts are often fuzzy and uncertain. As an extension of …
Some intuitionistic uncertain linguistic Bonferroni mean operators and their application to group decision making
With respect to multi-attribute group decision-making (MAGDM) problems in which the
attribute values take the form of intuitionistic uncertain linguistic variables (IULVs), the group …
attribute values take the form of intuitionistic uncertain linguistic variables (IULVs), the group …
Multiple-attribute decision-making method based on hesitant fuzzy linguistic Muirhead mean aggregation operators
P Liu, Y Li, M Zhang, L Zhang, J Zhao - Soft Computing, 2018 - Springer
The hesitant fuzzy linguistic (HFL) variable can handle the uncertainty very well, and
Muirhead mean (MM) operator can consider correlations among any amount of inputs by an …
Muirhead mean (MM) operator can consider correlations among any amount of inputs by an …
Multiple criteria decision making based on Hamy mean operators under the environment of spherical fuzzy sets
Aggregation operators are widely applied to accumulate the vague and uncertain
information in these days. Hamy mean (HM) operators play a vital role to accumulate the …
information in these days. Hamy mean (HM) operators play a vital role to accumulate the …
[图书][B] Application of similarity measure on m-polar interval-valued neutrosophic set in decision making in sports
In real life, most of the problems occurred by wrong decision making, while in sports it is
mandatory for every player, coach, and technique director to make a good and an ideal …
mandatory for every player, coach, and technique director to make a good and an ideal …
[HTML][HTML] Multi-criteria decision-making method based on single-valued neutrosophic schweizer–sklar muirhead mean aggregation operators
H Zhang, F Wang, Y Geng - Symmetry, 2019 - mdpi.com
Schweizer–Sklar (SS) operation can make information aggregation more flexible, and the
Muirhead mean (MM) operator can take into account the correlation between inputs by a …
Muirhead mean (MM) operator can take into account the correlation between inputs by a …
Two-dimensional uncertain linguistic generalized normalized weighted geometric Bonferroni mean and its application to multiple-attribute decision making
P Liu - Scientia Iranica, 2018 - scientiairanica.sharif.edu
2-dimension uncertain linguistic variables (2DULVs) are a powerful tool to express the fuzzy
or uncertain information, and the weighted Bonferroni mean can not only take the attribute …
or uncertain information, and the weighted Bonferroni mean can not only take the attribute …