An approach to multi-attribute decision-making based on single-valued neutrosophic hesitant fuzzy aczel-alsina aggregation operator
A single-valued Neutrosophic hesitant fuzzy set (SVNHFS) is a combination of a single-
valued neutrosophic set (SVNS) and hesitant fuzzy set (HFS) that has been developed to …
valued neutrosophic set (SVNS) and hesitant fuzzy set (HFS) that has been developed to …
Assessment of Hydropower Plants in Pakistan: Muirhead Mean-Based 2-Tuple Linguistic T-spherical Fuzzy Model Combining SWARA with COPRAS
In the study of group decision-making, the most important issue is how to coordinate
opinions from different decision experts (DEs) to reach a consensus under uncertainty. To …
opinions from different decision experts (DEs) to reach a consensus under uncertainty. To …
Improved CoCoSo method based on Frank softmax aggregation operators for T-spherical fuzzy multiple attribute group decision-making
In this article, a novel CoCoSo (Combined compromise solution) method based on Frank
operational laws and softmax function is investigated to handle multiple attribute group …
operational laws and softmax function is investigated to handle multiple attribute group …
New customer-oriented design concept evaluation by using improved Z-number-based multi-criteria decision-making method
J Qi, J Hu, H Huang, Y Peng - Advanced Engineering Informatics, 2022 - Elsevier
The customer-oriented design concept evaluation (CDCE) enables companies to select the
best design concept from the perspective of customer to win the customer-centered market …
best design concept from the perspective of customer to win the customer-centered market …
[HTML][HTML] The theory of prioritized Muirhead mean operators under the presence of complex single-valued neutrosophic values
The Muirhead mean (MM) operator is effective and feasible and is used for aggregating the
finite collection of attributes into a singleton set, where the averaging and geometric …
finite collection of attributes into a singleton set, where the averaging and geometric …
An Improved EDAS Method Based on Bipolar Neutrosophic Set and Its Application in Group Decision‐Making
The bipolar neutrosophic set is a suitable instrument to tackle the information with
vagueness, complexity, and uncertainty. In this study, we improved the original EDAS (the …
vagueness, complexity, and uncertainty. In this study, we improved the original EDAS (the …
Predicting student performance in future exams via neutrosophic cognitive diagnosis in personalized e-learning environment
To provide intelligent learning guidance for students in e-learning systems, it is necessary to
accurately predict their performance in future exams by analyzing score data in past exams …
accurately predict their performance in future exams by analyzing score data in past exams …
Domination of bipolar fuzzy graphs in various settings
S Gong, G Hua, W Gao - International Journal of Computational …, 2021 - Springer
Bipolar fuzzy sets are used to describe the positive and negative of the uncertainty of
objects, and the bipolar fuzzy graphs are used to characterize the structural relationship …
objects, and the bipolar fuzzy graphs are used to characterize the structural relationship …
Evaluation of the government entrepreneurship support by a new dynamic neutrosophic operator based on time degrees
C Wang, Z Hu, Z Bao - Management Decision, 2023 - emerald.com
Purpose Entrepreneurship as a development engine has a distinct character in the
economic growth of countries. Therefore, governments must support entrepreneurship in …
economic growth of countries. Therefore, governments must support entrepreneurship in …
Exercise recommendation based on cognitive diagnosis and neutrosophic set
H Ma, Z Huang, W Tang, X Zhang - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
It is a fundamental function of a personalized elearning system to recommend suitable
exercises to learners for improving their learning efficiencies and qualities. These exercises …
exercises to learners for improving their learning efficiencies and qualities. These exercises …