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A new intuitionistic fuzzy cosine similarity measures and its application
2012 IEEE International Conference on Industrial Engineering and Engineering Management, 2012Recent several researches have developed similarity measures method for handling pattern recognition problems based on intuitionistic fuzzy sets. However, in some cases, those proposed method can not give sufficient information to discriminate from some patterns.
Kuo-Chen Hung, Kuo-Ping Lin
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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 Bolturk, Cengiz Kahraman
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Local Positioning System Performance Evaluation with Cosine Correlation Similarity Measure
2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications, 2011Global Positioning System technology has been widely utilized for various applications. Nevertheless, it only performs accurately in outdoor environment. Thus, Local Positioning System has been introduced specifically to determine position in indoor environment.
Sham Firdaus Md. Ali, Rosilah Hassan
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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.
Huetle-Figueroa, Juan +2 more
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Myanmar News Retrieval in Vector Space Model using Cosine Similarity Measure
2020 IEEE Conference on Computer Applications(ICCA), 2020Information Retrieval (IR) is an effective means of retrieving the best relevant document to user query. Nowadays, the problem of documents similarity deals with IR is retrieving required information from a large amount of data. In this paper we studied a Vector Space Model (VSM) that is used in IR and represents a document as a vector in an n ...
Hay Man Oo, Win Pa Pa
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Hierarchical Clustering for Sentence Extraction Using Cosine Similarity Measure
2015Clustering is an unsupervised learning technique, grouping a set of objects into subsets or clusters. It forms the clusters that are similar with the data points internally, but dissimilar with the data points that are present in other clusters from each other.
D. Kavyasrujana, B. Chakradhara Rao
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NETWORK FREQUENCY AND COSINE SIMILARITY MEASURE
AbstractThe Pythagorean fuzzy set is extended from intuitionistic fuzzy set. Pythagorean fuzzy sets arecharacterized by the three degrees such that membership, non-membership, and hesitancy which satisfies the condition that the sum of the squares of its membership degree, and non-membership degree is equal to or less than one.openaire +1 more source
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, Sule Gunduz Oguducu
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Content-based movie recommendation system using cosine similarity measure
AIP Conference Proceedings, 2023Narne Abhinav, Kamepalli Sujatha
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Asymmetrically Weighted Cosine Similarity Measure for Recommendation Systems
2022Sahil Mishra, Sanjaya Kumar Panda
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