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Personalized learning assessment for secondary education using a hybrid model of circular intuitionistic fuzzy and Aczel–Alsina bonferroni aggregation operator [PDF]

Scientific Reports
Personalized learning (PL) achievement in secondary schools is often questioned because it does not always lead to improved student performance, as it has consistently lacked strong data-driven models that can effectively address the uncertainty in ...
Raiha Imran, Kifayat Ullah, Hanen Karamti, Zeeshan Ali, Izatmand Haleemzai   +4 more
doaj   +2 more sources

Decision-making analysis of minimizing the death rate due to covid-19 by using q-rung orthopair fuzzy soft bonferroni mean operator [PDF]

Journal of Fuzzy Extension and Applications, 2022
The q-Rung Orthopair Fuzzy Soft Set (q-ROFSS) theory is a significant extension of Pythagorean fuzzy soft set and intuitionistic fuzzy soft set theories for dealing with the imprecision and uncertainty in data. The purpose of this study is to improve and
Mujahid Abbas, Muhammad Waseem Asghar, Yanhui Guo   +2 more
doaj   +1 more source

An Approach to MADM Based on Aczel-Alsina Power Bonferroni Aggregation Operators for q-Rung Orthopair Fuzzy Sets

IEEE Access, 2023
The power Bonferroni mean (PBM) is a combined networking system that can benefit both the power average (PA) operator, which might attenuate the effects of irrational data provided by the prejudiced decision-makers (DMs), and the BM operator, which may ...
Khalida Jabeen, Qaisar Khan, Kifayat Ullah, Tapan Senapati, Sarbast Moslem   +4 more
doaj   +1 more source

A Decision-Making Approach for the Evaluation of Information Security Management under Complex Intuitionistic Fuzzy Set Environment

Journal of Mathematics, 2022
Since intuitionistic fuzzy set only deals with uncertainty but not periodicity, therefore to overcome, this situation complex intuitionistic fuzzy set is a better tool that deals with both uncertainty and periodicity.
Muhammad Azam, Muhammad Sajjad Ali Khan, Shilin Yang   +2 more
doaj   +1 more source

Dombi Bonferroni Mean Operators Under Bipolar Complex Fuzzy Environment and Their Applications in Internet World

IEEE Access, 2023
Internet is almost a necessary facility and tool to solve daily life problems in every field life. Whether at the individual level or national and international level sale purchase of any kind of object has always been of much importance, especially ...
Tahir Mahmood, Ubaid Ur Rehman, Muhammad Naeem   +2 more
doaj   +1 more source

Performance Evaluation of Solar Energy Cells Using the Interval-Valued T-Spherical Fuzzy Bonferroni Mean Operators

Energies, 2022
To find the correspondence between every number of attributes, the Bonferroni mean (BM) operator is most widely used and proven to be a flexible approach.
Maria Akram, Kifayat Ullah, Dragan Pamucar   +2 more
doaj   +1 more source

A Bonferroni Mean Based Fuzzy K Nearest Centroid Neighbor Classifier

Jurnal Ilmu Komputer dan Informasi, 2021
K-nearest neighbor (KNN) is an effective nonparametric classifier that determines the neighbors of a point based only on distance proximity. The classification performance of KNN is disadvantaged by the presence of outliers in small sample size datasets ...
Arya Widyadhana, Cornelius Bagus Purnama Putra, Rarasmaya Indraswari, Agus Zainal Arifin   +3 more
doaj   +1 more source

Analyzing the effect of different types of pollution with bipolar complex fuzzy power Bonferroni mean operators

Frontiers in Environmental Science, 2022
When any amount of harmful materials (any substance or any type of energy) is introduced into the climate at a rate quicker than it very well may be scattered or securely put away, then pollution occurs.
Xiaopeng Yang, Tahir Mahmood, Ubaid Ur Rehman   +2 more
doaj   +1 more source

Methods for Evaluating the Technological Innovation Capability for the High-Tech Enterprises With Generalized Interval Neutrosophic Number Bonferroni Mean Operators

IEEE Access, 2019
As we all know, the Bonferroni mean (BM) operator has the advantage of considering interrelationships between parameters. In this paper, we combine the generalized weighted BM (GWBM) operator and generalized weighted Bonferroni geometric mean (GWGBM ...
Guiwu Wei, Rui Wang, Jie Wang, Cun Wei, Yi Zhang   +4 more
doaj   +1 more source

An MCDM approach based on some new Pythagorean cubic fuzzy Frank Muirhead mean operators

Heliyon, 2022
Pythagorean cubic fuzzy sets (PCFSs) are the most convenient aid to depict ambiguous data in practical decision-making situations. The Muirhead mean (MM) possesses the ability to capture the interrelationship between the criteria.
Pankaj Kakati
doaj   +1 more source