Cosine similarity and distance measures for p,q− quasirung orthopair fuzzy sets: Applications in investment decision-making [PDF]
HeliyonSimilarity 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 +4 more sources
Improved sqrt-cosine similarity measurement [PDF]
Journal of Big Data, 2017 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
doaj +2 more sources
The Unsupervised Feature Selection Algorithms Based on Standard Deviation and Cosine Similarity for Genomic Data Analysis [PDF]
Frontiers in Genetics, 2021 To tackle the challenges in genomic data analysis caused by their tens of thousands of dimensions while having a small number of examples and unbalanced examples between classes, the technique of unsupervised feature selection based on standard deviation
Juanying Xie +5 more
doaj +2 more sources
Cosine similarity measures between q-rung orthopair linguistic sets and their application to group decision making problems [PDF]
Scientific Reports, 2022 The q-rung orthopair linguistic set (q-ROLS), a combined version of linguistic term sets and q-rung orthopair fuzzy set, is an efficient mathematical tool to accomplish the imprecise information while solving the decision-making problems.
Jawad Ali, Muhammad Naeem
doaj +2 more sources
Improved cosine similarity and distance measures-based TOPSIS method for cubic Fermatean fuzzy sets
Alexandria Engineering Journal, 2023 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
doaj +3 more sources
Cosine Similarity Entropy: Self-Correlation-Based Complexity Analysis of Dynamical Systems
Entropy, 2017 The nonparametric Sample Entropy (SE) estimator has become a standard for the quantification of structural complexity of nonstationary time series, even in critical cases of unfavorable noise levels.
Theerasak Chanwimalueang +1 more
doaj +3 more sources
Effects of similarity networks in graph-based multi-omics classification. [PDF]
PLoS ONEAccurate classification of disease subtypes is a fundamental requirement of precision medicine especially for complex and heterogeneous conditions such as breast cancer and Alzheimer's disease.
Masrafe Bin Hannan Siam +4 more
doaj +2 more sources
Application of novel similarity measures in electric vehicle charging station site selection based on q-rung orthopair hesitant fuzzy rough sets under quantitative information [PDF]
Scientific ReportsSimilarity measures provide a viable approach for evaluating the degree of similarity between two collections. They serve as effective procedures for addressing decision-making issues influenced by cognitive processes.
Attaullah +4 more
doaj +2 more sources
Exploring the Sharpened Cosine Similarity
CoRR, 2023 Accepted to I Can't Believe It's Not Better Workshop (ICBINB) at NeurIPS ...
Skyler Wu +3 more
openaire +2 more sources
A Quantum Binary Classifier based on Cosine Similarity [PDF]
2021 IEEE International Conference on Quantum Computing and Engineering (QCE), 2021 We introduce the quantum implementation of a binary classifier based on cosine similarity between data vectors. The proposed quantum algorithm evaluates the classifier on a set of data vectors with time complexity that is logarithmic in the product of the set cardinality and the dimension of the vectors. It is based just on a suitable state preparation
Pastorello, Davide, Blanzieri, Enrico
openaire +3 more sources