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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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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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Fuzzy Lattice Neurocomputing Using Weighted Cosine Similarity Measure
2007 International Joint Conference on Neural Networks, 2007In this work, we investigate the effects of changing the underlying inclusion measure used by fuzzy lattice neurocomputing (FLN) classifiers to the cosine similarity measures. We also show that by weighing the contribution of each attribute found in the data set, we can provide additional improvements over simply using an inclusion/similarity measure ...
Al Cripps, Nghiep Nguyen
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A novel interval-valued neutrosophic AHP with cosine similarity measure
Soft Computing, 2018Neutrosophic Logic (Smarandache in Neutrosophy neutrosophic probability: set, and logic, American Research Press, Rehoboth, 1998) has been applied to many multicriteria decision-making methods such as Technique for Order Preference by Similarity to an Ideal Solution, Visekriterijumsko kompromisno rangiranje Resenje, and Evaluation based on Distance ...
Eda Boltürk, Cengiz Kahraman
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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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Hierarchical document clustering based on cosine similarity measure
2017 1st International Conference on Intelligent Systems and Information Management (ICISIM), 2017Clustering is one of the prime topics in data mining. Clustering partitions the data and classifies the data into meaningful subgroups. Document clustering is a set of the document into groups such that two groups show different characteristics with respect to likeness.
Shraddha K. Popat +2 more
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k-Factor-Based Cosine Similarity Measurement
2018With rapid increase in volume of text documents over Internet, the collections of document in digitilized form piling up every day. There is a need of effective and efficient measurement techniques in order to deal with such an enormous amount of data.
Nadia Siddiqui, Saiful Islam
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AIP Conference Proceedings, 2018
Similarity measures based-distance for intuitionistic fuzzy sets (IFSs) have been proposed to the literature. However, this sort of similarity measure has an impediment as it cannot fulfill the axiomatic definition of the similarity by providing the counter-intuitive cases. Due to the disadvantage, a similarity based-distance for Pythagorean fuzzy sets
Wan Rosanisah Wan Mohd, Lazim Abdullah
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Similarity measures based-distance for intuitionistic fuzzy sets (IFSs) have been proposed to the literature. However, this sort of similarity measure has an impediment as it cannot fulfill the axiomatic definition of the similarity by providing the counter-intuitive cases. Due to the disadvantage, a similarity based-distance for Pythagorean fuzzy sets
Wan Rosanisah Wan Mohd, Lazim Abdullah
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Modified Cosine Similarity Measure between Intuitionistic Fuzzy Sets
2012Similarity of intuitionistic fuzzy sets (IFSs) is an important measure to indicate the similarity degree between IFSs. Recently, Ye (2011) proposed a similarity measure between IFSs based on the cosine concept. Although this cosine similarity measure has good concept and merit, the measure is not satisfied the definition of a similarity between IFSs ...
Chao-Ming Hwang, Miin-Shen Yang
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