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 …
A new classification method using soft decision-making based on an aggregation operator of fuzzy parameterized fuzzy soft matrices
Recently, a precise and stable machine learning algorithm, ie eigenvalue classification
method (EigenClass), has been developed by using the concept of generalised eigenvalues …
method (EigenClass), has been developed by using the concept of generalised eigenvalues …
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 …
Picture Fuzzy Soft Matrices and Application of Their Distance Measures to Supervised Learning: Picture Fuzzy Soft k-Nearest Neighbor (PFS-kNN)
S Memiş - Electronics, 2023 - mdpi.com
This paper redefines picture fuzzy soft matrices (pfs-matrices) because of some of their
inconsistencies resulting from Cuong's definition of picture fuzzy sets. Then, it introduces …
inconsistencies resulting from Cuong's definition of picture fuzzy sets. Then, it introduces …
Interval-valued intuitionistic fuzzy parameterized interval-valued intuitionistic fuzzy soft matrices and their application to performance-based value assignment to noise …
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 …
Picture fuzzy soft -algebra and picture fuzzy soft measure and their applications to multi-criteria decision-making
K Naeem, S Memiş - Granular Computing, 2023 - Springer
The concept of picture fuzzy soft sets (PFSSs) has been introduced as an efficacious
extension of intuitionistic fuzzy soft sets to model uncertain information, especially when …
extension of intuitionistic fuzzy soft sets to model uncertain information, especially when …
A classification method based on Hamming pseudo-similarity of intuitionistic fuzzy parameterized intuitionistic fuzzy soft matrices
In this study, firstly, Hamming pseudo-similarity of intuitionistic fuzzy parameterized
intuitionistic fuzzy soft matrices (ifpifs-matrices) have been defined. Afterwards, a classifier …
intuitionistic fuzzy soft matrices (ifpifs-matrices) have been defined. Afterwards, a classifier …
Another view on picture fuzzy soft sets and their product operations with soft decision-making
S Memiş - Journal of New Theory, 2022 - dergipark.org.tr
Cuong [Picture Fuzzy Sets, Journal of Computer Science and Cybernetics 30 (4)(2014) 409–
420] has introduced the concept of picture fuzzy soft sets (pfs-sets) relying on his definition …
420] has introduced the concept of picture fuzzy soft sets (pfs-sets) relying on his definition …
An algorithm for coloring of picture fuzzy graphs based on strong and weak adjacencies, and its application
The idea of strong and weak adjacencies between vertices has been generalized into fuzzy
graphs and intuitionistic fuzzy graphs (IFGs), and it is an important part of making decisions …
graphs and intuitionistic fuzzy graphs (IFGs), and it is an important part of making decisions …