Browsing by Author "Memiş, Samet"

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A classification method in machine learning based on soft decision-making via fuzzy parameterized fuzzy soft matrices

Memiş, Samet; Enginoğlu, Serdar; Erkan, Uğur (Springer Science and Business Media Deutschland GmbH, 2022)

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-making problems. To utilize soft ...
Distance and Similarity Measures of Intuitionistic Fuzzy Parameterized Intuitionistic Fuzzy Soft Matrices and Their Applications to Data Classification in Supervised Learning

Memiş, Samet; Arslan, Burak; Aydın, Tuğce; Enginoğlu, Serdar; Camcı, Çetin (MDPI, 2023)

Intuitionistic fuzzy parameterized intuitionistic fuzzy soft matrices (ifpifs-matrices), proposed by Enginoğlu and Arslan in 2020, are worth utilizing in data classification in supervised learning due to coming into ...
Numerical Data Classification via Distance-Based Similarity Measures of Fuzzy Parameterized Fuzzy Soft Matrices

Memiş, Samet; Enginoğu, Serdar; Erkan, Uğur (Institute of Electrical and Electronics Engineers, 2021)

In this paper, we first define eight pseudo-metrics and eight pseudo-similarities based on these pseudo-metrics overfpfs-matrices. We then propose a new classification algorithm, i.e. Fuzzy Parameterized Fuzzy Soft Euclidean ...