Fuzzy parameterized fuzzy soft k-nearest neighbor classifier
In this paper, we propose a new kNN algorithm, ie, Fuzzy Parameterized Fuzzy Soft kNN
(FPFS-kNN), based on multiple pseudo-metrics of fuzzy parameterized fuzzy soft matrices …
(FPFS-kNN), based on multiple pseudo-metrics of fuzzy parameterized fuzzy soft matrices …
A classification method in machine learning based on soft decision-making via fuzzy parameterized fuzzy soft matrices
Fuzzy parameterized fuzzy soft matrices (fpfs-matrices) which can model problems involving
fuzzy objects and parameters are one of the mathematical tools used to deal with decision …
fuzzy objects and parameters are one of the mathematical tools used to deal with decision …
Picture fuzzy parameterized picture fuzzy soft sets and their application in a performance-based value assignment problem to salt-and-pepper noise removal filters
S Memiş - International Journal of Fuzzy Systems, 2023 - Springer
In real-world problems such as voting for an election, decisions of the electorate may be split
into three types: yes, no, and abstain. The concept of picture fuzzy sets (pf-sets) has been …
into three types: yes, no, and abstain. The concept of picture fuzzy sets (pf-sets) has been …
Interval-valued intuitionistic fuzzy parameterized interval-valued intuitionistic fuzzy soft matrices and their application to performance-based value assignment to noise …
T Aydın, S Enginoğlu - Computational and Applied Mathematics, 2022 - Springer
Recently, the concept of interval-valued intuitionistic fuzzy parameterized interval-valued
intuitionistic fuzzy soft sets (d-sets) has successfully modelled decision-making problems …
intuitionistic fuzzy soft sets (d-sets) has successfully modelled decision-making problems …
[HTML][HTML] Distance and Similarity Measures of Intuitionistic Fuzzy Parameterized Intuitionistic Fuzzy Soft Matrices and Their Applications to Data Classification in …
Intuitionistic fuzzy parameterized intuitionistic fuzzy soft matrices (ifpifs-matrices), proposed
by Enginoğlu and Arslan in 2020, are worth utilizing in data classification in supervised …
by Enginoğlu and Arslan in 2020, are worth utilizing in data classification in supervised …
Decision-making method under the interval-valued complex fuzzy soft environment
M Zeeshan, M Khan, MA Abid, Z Ahmad… - … and Applied Mathematics, 2024 - Springer
In this paper, we introduce some set-theoretic operations and laws of the IV-CFSSs, such as
interval-valued complex fuzzy soft complement, union, intersection, t-norm, s-norm, simple …
interval-valued complex fuzzy soft complement, union, intersection, t-norm, s-norm, simple …
[HTML][HTML] Diagnosing COVID-19, prioritizing treatment, and planning vaccination priority via fuzzy parameterized fuzzy soft matrices
In the fight against the COVID-19 pandemic, it is vital to rapidly diagnose possible
contagions, treat patients, plan follow-up procedures with correct and effective use of …
contagions, treat patients, plan follow-up procedures with correct and effective use of …
Generalisations of SDM methods in FPFS-matrices space to render them operable in IFPIFS-matrices space and their application to performance ranking of the noise …
Recently, the concept of intuitionistic fuzzy parameterized intuitionistic fuzzy soft matrices
(ifpifs-matrices) has allowed to mathematically model some problems in which the …
(ifpifs-matrices) has allowed to mathematically model some problems in which the …
[PDF][PDF] New Theory
Abstract− Recently, the concept of intuitionistic fuzzy parameterized intuitionistic fuzzy soft
matrices (ifpifs-matrices) has allowed to mathematically model some problems in which the …
matrices (ifpifs-matrices) has allowed to mathematically model some problems in which the …