An extended WASPAS approach for teaching quality evaluation based on pythagorean fuzzy reducible weighted Maclaurin symmetric mean

D Wei, Y Rong, H Garg, J Liu - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
Teaching quality evaluation (TQE) can not only improve teachers' teaching skills, but also
provide an important reference for school teaching management departments to formulate …

Triangular Pythagorean fuzzy Bonferroni mean operators in multiple attribute decision making and applications to college English smart classroom teaching quality …

X Rong - Journal of Intelligent & Fuzzy Systems, 2023 - content.iospress.com
At the stage of college education, English is a very important subject, which is directly
related to the enhancement of college students' English literacy and the improvement of their …

MADM framework based on the triangular Pythagorean fuzzy sets and applications to college public English teaching quality evaluation

W Dou - Journal of Intelligent & Fuzzy Systems, 2023 - content.iospress.com
The so-called “college English” teaching quality evaluation is to provide a basic,
comprehensive, and realistic evaluation of the relevant aspects and management of …

Pythagorean fuzzy interactive Hamacher power aggregation operators for assessment of express service quality with entropy weight

L Wang, H Garg, N Li - Soft Computing, 2021 - Springer
Reasonable and effective assessment of express service quality can help express company
discover its own shortcomings and overcome them, which is crucial significant to enhance its …

A novel method based on induced aggregation operator for classroom teaching quality evaluation with probabilistic and Pythagorean fuzzy information

S Zeng, N Wang, C Zhang, W Su - EURASIA Journal of Mathematics …, 2018 - ejmste.com
The purpose of this study is to develop a novel method based on induced aggregation
operator to evaluate classroom teaching quality with probabilistic and Pythagorean fuzzy …

Pythagorean fuzzy multiple criteria decision analysis based on Shapley fuzzy measures and partitioned normalized weighted Bonferroni mean operator

RX Nie, ZP Tian, JQ Wang… - International Journal of …, 2019 - Wiley Online Library
Pythagorean fuzzy sets are powerful techniques for modeling vagueness in practice. The
aim of this article is to investigate an effective means to aggregate uncertain information and …

Pythagorean fuzzy aczel-alsina power bonferroni mean operators for multi-attribute decision-making

K Jabeen, K Ullah, W Pedrycz, Q Khan, Z Ali, S Yin - Granular Computing, 2024 - Springer
Pythagorean fuzzy set (PyFS) is an effective model to describe the vagueness and
uncertainty of decision-makers. Several novel averaging aggregation operators (AOs) have …

Pythagorean fuzzy Maclaurin symmetric mean operators in multiple attribute decision making

G Wei, M Lu - International Journal of Intelligent Systems, 2018 - Wiley Online Library
The Maclaurin symmetric mean (MSM) operator is a classical mean type aggregation
operator used in modern information fusion theory, which is suitable to aggregate numerical …

Proportional distribution based pythagorean fuzzy fairly aggregation operators with multi-criteria decision-making

M Saqlain, P Kumam, W Kumam… - IEEE …, 2023 - ieeexplore.ieee.org
Pythagorean fuzzy sets (PyFSs) are an essential tool for characterizing fuzzy data in
decision-making processes. In contrast to normal fuzzy structures, PyFSs feature a sum of …

Multiple attribute decision making based on power muirhead mean operators under 2-tuple linguistic pythagorean fuzzy environment

X Deng, J Wang, G Wei - Cognitive Computation, 2020 - Springer
Due to the uncertainty and complexity of socioeconomic environments and cognitive
diversity of decision makers, the cognitive information over alternatives provided by decision …