Results 31 to 40 of about 101,562 (188)
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
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Misfire Fault Diagnosis Method of Gasoline Engines Using the Cosine Similarity Measure of Neutrosophic Numbers [PDF]
Neutrosophic Sets and Systems, 2015 This paper proposes a distance measure of neutrosophic numbers and a similarity measure based on cosine function, and then develops the misfire fault diagnosis method of gasoline engines by using the cosine similarity measure of neutrosophic numbers.
Lingwei Kong, Yuefeng Wu, Jun Ye
doaj
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013 — Document similarity can be used as a reference for other information searches similar. So as to reduce the time-re-appointment for information following a similar document.
Mardi Siswo Utomo, Edi Winarko
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Cosine Similarity Measures Of Neutrosophic Soft Set
, 2016 In this paper we have introduced the concept of cosine similarity measures for neutrosophic soft set and interval valued neutrosophic soft set.An application is given to show its practicality and effectiveness.
Sumathi, I. R., Arockiarani, I.
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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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Scientific Reports, 2023 Dempster–Shafer evidence theory is an effective method to deal with information fusion. However, how to deal with the fusion paradoxes while using the Dempster’s combination rule is still an open issue.
Yongchuan Tang +5 more
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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
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Knowledge Engineering and Data Science, 2022 Document similarity computation is an important research topic in information retrieval, and it is a crucial issue for automatic document categorization.
Merlinda Wibowo +4 more
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Unsupervised Measure of Word Similarity: How to Outperform Co-occurrence and Vector Cosine in VSMs
, 2016 In this paper, we claim that vector cosine, which is generally considered among the most efficient unsupervised measures for identifying word similarity in Vector Space Models, can be outperformed by an unsupervised measure that calculates the extent of ...
Chiu, Tin-Shing +4 more
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Complexity, 2021 Since the user recommendation complex matrix is characterized by strong sparsity, it is difficult to correctly recommend relevant services for users by using the recommendation method based on location and collaborative filtering.
Lili Wang, Ting Shi, Shijin Li
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