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Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses [PDF]
Artificial Intelligence in Medicine, 2015 In pattern recognition and medical diagnosis, similarity measure is an important mathematicaltool. To overcome some disadvantages of existing cosine similarity measures of simplified neutrosophicsets (SNSs) in vector space, this paper proposed improved cosine similarity measures of SNSs based oncosine function, including single valued neutrosophic ...
Jun Ye
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New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach
Knowledge and Information Systems, 2022 The most straightforward approaches to checking the degrees of similarity and differentiation between two sets are to use distance and cosine similarity metrics.
Murat Kirişçi
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Cosine similarity measures for intuitionistic fuzzy sets and their applications
Mathematical and Computer Modelling, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jun Ye
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Sentiment analysis using cosine similarity measure
2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS), 2015The opinion of other people is often a major factor influencing our decisions. For a consumer it affects purchase decisions and for a producer or a service provider it helps in making business decisions. Companies spend a lot of money and time on surveys for gathering the public opinion on products and services.
Saprativa Bhattacharjee +4 more
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Measuring semantic similarity of documents with weighted cosine and fuzzy logic
Journal of Intelligent & Fuzzy Systems, 2020Currently, the semantic analysis is used by different fields, such as information retrieval, the biomedical domain, and natural language processing. The primary focus of this research work is on using semantic methods, the cosine similarity algorithm, and fuzzy logic to improve the matching of documents.
Juan Huetle Figueroa +2 more
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Similarity measures of Pythagorean fuzzy sets based on the cosine function and their applications
International Journal of Intelligent Systems, 2018Guiwu Wei, Yu Wei
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Distance Weighted Cosine Similarity Measure for Text Classification
2013In Vector Space Model, Cosine is widely used to measure the similarity between two vectors. Its calculation is very efficient, especially for sparse vectors, as only the non-zero dimensions need to be considered. As a fundamental component, cosine similarity has been applied in solving different text mining problems, such as text classification, text ...
Baoli Li 0001, Liping Han
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Intuitionistic Fuzzy Ordered Weighted Cosine Similarity Measure
Group Decision and Negotiation, 2013The aim of this paper is to introduce the intuitionistic fuzzy ordered weighted cosine similarity (IFOWCS) measure by using the cosine similarity measure of intuitionistic fuzzy sets and the generalized ordered weighted averaging (GOWA) operator. Some desirable properties and different families of the IFOWCS measure are investigated.
Jinpei Liu, Huayou Chen, Ligang Zhou
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A taxonomy based semantic similarity of documents using the cosine measure
2009 24th International Symposium on Computer and Information Sciences, 2009In this paper, we present a new method for calculating semantic similarities between documents. This method is based on cosine similarity calculation between concept vectors of documents obtained from a taxonomy of words that captures IS-A relations. The calculation of semantic similarities between documents is a very time consuming task, since it is ...
Ainura Madylova +1 more
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