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 ...
Kamal Shāh +2 more
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Improved cosine similarity and distance measures-based TOPSIS method for cubic Fermatean fuzzy sets
AEJ - 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.
Fazli Amin +2 more
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Hyperbolic Cosine Similarity Measure Based MADM-Strategy under the SVNS Environment [PDF]
Neutrosophic 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
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Identification of the Most Significant Risk Factor of COVID-19 in Economy Using Cosine Similarity Measure under SVPNS-Environment [PDF]
Neutrosophic 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
IEEE 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
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Bipolar quadripartitioned single valued neutrosophic rough set [PDF]
Neutrosophic Sets and Systems, 2020 Here bipolar quadripartitioned single valued neutrosophic rough (BQSVNR) set is introduced. Some basic set theoretic terminologies like constant BQSVNR set, subsethood of two BQSVNR sets are shown.
Kalyan Sinha, Pinaki Majumdar
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An MCDM Technique Using Cosine and Set-Theoretic Similarity Measures for Neutrosophic hypersoft set [PDF]
Neutrosophic 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
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Similarity measures for Fermatean fuzzy sets and its applications in group decision-making [PDF]
Decision Science Letters, 2022 The intention of this paper is to propose some similarity measures between Fermatean fuzzy sets (FFSs). Firstly, we propose some score based similarity measures for finding similarity measures of FFSs and also propose score based cosine similarity ...
Laxminarayan Sahoo
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Metabolites, 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
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Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding [PDF]
PeerJ Computer Science, 2022 A textual data processing task that involves the automatic extraction of relevant and salient keyphrases from a document that expresses all the important concepts of the document is called keyphrase extraction.
Talha Bin Sarwar +2 more
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