Similarity Approach on Fuzzy Soft Set Based Numerical Data Classification
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In this paper, we propose the new numerical data classification based on similarity fuzzy soft sets. In addition can be applied to text classification, this new ...
This paper proposes the new numerical data classification based on similarity fuzzy soft sets (FSSC), which can be applied to text classification, ...
In this paper, we propose the new numerical data classification based on similarity fuzzy soft sets. In addition can be applied to text classification, this new ...
Jun 16, 2021 · We then propose a new classification algorithm, ie Fuzzy Parameterized Fuzzy Soft Euclidean Classifier (FPFS-EC), based on Euclidean pseudo-similarity.
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This paper assesses the performance of a new classification algorithm using similarity measure fuzzy soft set based distance based for numerical medical ...
In this paper three similarity measures of fuzzy soft sets are introduced with an overview of properties of soft sets and fuzzy soft sets with examples. The ...
This study proposes a novel interpretable fuzzy classification framework based on Fuzzy Similarity Phrases (FSPs), aiming to provide an improved tradeoff.
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Similarity measure fuzzy soft set for phishing detection | Hidayat
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This paper presents an intelligent classification model for detecting Phishing by redefining a fuzzy soft set (FSS) theory for better computational performance.
Abstract: In this paper, we first define eight pseudo-metrics and eight pseudo-similarities based on these pseudo-metrics over fpfs -matrices.
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This article attempts to introduce a classifier for numerical data using similarity measure fuzzy soft set (FSS) based on Hamming distance, named HDFSSC.