Results 11 to 20 of about 620,805 (282)
Neutrosophic Refined Similarity Measure Based on Cosine Function [PDF]
Neutrosophic Sets and Systems, 2014 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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Cosine Similarity Measure of Interval Valued Neutrosophic Sets [PDF]
Neutrosophic Sets and Systems, 2014 In this paper, we define a new cosine similarity between two interval valued neutrosophic sets based on Bhattacharya’s distance [19]. The notions of interval valued neutrosophic sets (IVNS, for short) will be used as vector representations in 3D-vector ...
Said Broumi, Florentin Smarandache
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Complexity, 2018 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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Cosine Similarity Measure Based Multi-attribute Decision-making with Trapezoidal Fuzzy Neutrosophic Numbers [PDF]
Neutrosophic Sets and Systems, 2015 The objective of the study is to present cosine similarity measure based multi-attribute decision making under neutrosophic environment. The assesments of alternatives over the attributes are expressed with trapezoidal fuzzy neutrosophic numbers in which
Pranab Biswas +2 more
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, 2018 This is a tutorial on the cosine similarity measure. Its meaning in the context of uncorrelated and orthogonal variables is examined.
Edel Garcia (5460320)
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Is Cosine-Similarity of Embeddings Really About Similarity?
Companion Proceedings of the ACM Web Conference 2024Cosine-similarity is the cosine of the angle between two vectors, or equivalently the dot product between their normalizations. A popular application is to quantify semantic similarity between high-dimensional objects by applying cosine-similarity to a learned low-dimensional feature embedding.
Harald Steck +2 more
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Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity
, 2008 Intelligent analysis of heterogeneous data and information sources for efficient decision support presents an interesting yet challenging task in clinical envi-ronments.
Ahmed, Mobyen Uddin, +4 more
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On the distribution of cosine similarity with application to biology [PDF]
, 2023 Cosine similarity is an established similarity metric for computing associations on vectors, and it is commonly used to identify related samples from biological perturbational data. The distribution of cosine similarity changes with the covariance of the data, and this in turn affects the statistical power to identify related signals.
Smith, Ian +4 more
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New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach. [PDF]
Knowl Inf Syst, 2023 The most straightforward approaches to checking the degrees of similarity and differentiation between two sets are to use distance and cosine similarity metrics.
Kirişci M.
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A Triangle Inequality for Cosine Similarity [PDF]
, 2021 Similarity search is a fundamental problem for many data analysis techniques. Many efficient search techniques rely on the triangle inequality of metrics, which allows pruning parts of the search space based on transitive bounds on distances. Recently, Cosine similarity has become a popular alternative choice to the standard Euclidean metric, in ...
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