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Neutrosophic Refined Similarity Measure Based on Cosine Function [PDF]
In this paper, the cosine similarity measure of neutrosophic refined (multi-) sets is proposed and its properties are studied. The concept of this cosine similarity measure of neutrosophic refined sets is the extension of improved cosine similarity ...
Said Broumi, Florentin Smarandache
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Improved sqrt-cosine similarity measurement [PDF]
Text similarity measurement aims to find the commonality existing among text documents, which is fundamental to most information extraction, information retrieval, and text mining problems.
Sahar Sohangir, Dingding Wang
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The Intuitionistic Fuzzy Linguistic Cosine Similarity Measure and Its Application in Pattern Recognition [PDF]
We propose the cosine similarity measures for intuitionistic fuzzy linguistic sets (IFLSs) and interval-valued intuitionistic fuzzy linguistic sets (IVIFLSs), which are expressed by the linguistic scale function based on the cosine function.
Donghai Liu, Xiaohong Chen, Dan Peng
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Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses [PDF]
In pattern recognition and medical diagnosis, similarity measure is an important mathematicaltool. To overcome some disadvantages of existing cosine similarity measures of simplified neutrosophicsets (SNSs) in vector space, this paper proposed improved cosine similarity measures of SNSs based oncosine function, including single valued neutrosophic ...
Jun Ye
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Cosine similarity measures for intuitionistic fuzzy sets and their applications
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jun Ye
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Hybrid Cosine-Jaccard similarity measure for neutrosophic set [PDF]
Similarity measures play a critical role in quantifying relationships between data points. Recent advancements have expanded the exploration of these measures into neutrosophic sets, a framework capable of simultaneously addressing uncertainty ...
Madeleine Lin +1 more
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Improved cosine similarity and distance measures-based TOPSIS method for cubic Fermatean fuzzy sets
Similarity and distance measures play important roles in fuzzy environments, helping to quantify the degree of similarity or concepts that may not have clear limits.
Muhammad Rahim +4 more
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Novel cosine similarity measures on CIFS and its applications [PDF]
In the evolving field of decision science, accurately measuring similarity under uncertainty remains a critical challenge. Despite significant advancements in developing CSMs for IFS and IVIFS, these approaches fall short of capturing the dual ...
Saranya Manoharan +2 more
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Similarity measures and distance measures are used in a variety of domains, such as data clustering, image processing, retrieval of information, and recognizing patterns, in order to measure the degree of similarity or divergence between elements or ...
Muhammad Rahim +4 more
doaj +3 more sources
Cosine similarity measures of bipolar neutrosophic set for diagnosis of bipolar disorder diseases [PDF]
Similarity plays a significant implicit or explicit role in various fields. In some real applications in decision making, similarity may bring counterintuitive outcomes from the decision maker's standpoint. Therefore, in this research, we propose some novel similarity measures for bipolar and interval-valued bipolar neutrosophic set such as the cosine ...
Mohamed Elhoseny +2 more
exaly +4 more sources

