Results 1 to 10 of about 33,964 (164)

Improved sqrt-cosine similarity measurement [PDF]

open access: yesJournal 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

Neutrosophic Refined Similarity Measure Based on Cosine Function [PDF]

open access: yesNeutrosophic 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
doaj   +3 more sources

Cosine similarity measures for intuitionistic fuzzy sets and their applications

open access: yesMathematical and Computer Modelling, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jun Ye
exaly   +2 more sources

Identification of the Most Significant Risk Factor of COVID-19 in Economy Using Cosine Similarity Measure under SVPNS-Environment [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
In this article, we procure the idea of single-valued pentapartitioned neutrosophic cosine similarity measure (SVPNCSM) and single-valued pentapartitioned neutrosophic weighted cosine similarity measure (SVPNWCSM) under the single-valued pentapartitioned
Priyanka Majumder   +3 more
doaj   +1 more source

Hyperbolic Cosine Similarity Measure Based MADM-Strategy under the SVNS Environment [PDF]

open access: yesNeutrosophic Sets and Systems, 2022
In this article, we propose a MADM-strategy based on hyperbolic cosine similarity measures under the single valued neutrosophic set environment. Further, we also give some properties of the similarity measures by giving some suitable examples.
Bimal Shil   +4 more
doaj   +1 more source

An MCDM Technique Using Cosine and Set-Theoretic Similarity Measures for Neutrosophic hypersoft set [PDF]

open access: yesNeutrosophic Sets and Systems, 2022
A similarity measure is used to tackle many issues that include indistinct and blurred information, excluding is not able to deal with the general fuzziness and obscurity of the problems that have various information.
Aiyared Iampan   +3 more
doaj   +1 more source

Spherical Fuzzy Sets-Based Cosine Similarity and Information Measures for Pattern Recognition and Medical Diagnosis

open access: yesIEEE Access, 2021
Spherical fuzzy set (SFS) is a modified version of fuzzy set (FS) to cope with uncertainty and complicated data in real-decision theory. In this article, some similarity measures, called cosine similarity measure (CSM), weighted cosine similarity measure
Tahir Mahmood   +3 more
doaj   +1 more source

Improving Helpdesk Chatbot Performance with Term Frequency-Inverse Document Frequency (TF-IDF) and Cosine Similarity Models

open access: yesJournal of Applied Informatics and Computing, 2023
Helpdesk chatbots are growing in popularity due to their ability to provide help and answers to user questions quickly and effectively. Chatbot development poses several challenges, including enhancing accuracy in understanding user queries and providing
Gede Herdian Setiawan   +1 more
doaj   +1 more source

Similarity analysis using rank in till geochemistry [PDF]

open access: yesBulletin of the Geological Society of Finland, 1991
A similarity analysis method based on Spearman's rank correlation coefficient (p) was developed aiming to indirectly measure the similarity between the geochemistry of till and bedrock. The study area lies in Central Finland, comprising c.
J. Mäkinen
doaj   +1 more source

Comparative Analysis of Binary Similarity Measures for Compound Identification in Mass Spectrometry-Based Metabolomics

open access: yesMetabolites, 2022
Compound identification is a critical step in untargeted metabolomics. Its most important procedure is to calculate the similarity between experimental mass spectra and either predicted mass spectra or mass spectra in a mass spectral library.
Seongho Kim, Ikuko Kato, Xiang Zhang
doaj   +1 more source

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