Results 21 to 30 of about 101,562 (188)
Complexity, 2017 We present the interval-valued intuitionistic fuzzy ordered weighted cosine similarity (IVIFOWCS) measure in this paper, which combines the interval-valued intuitionistic fuzzy cosine similarity measure with the generalized ordered weighted averaging ...
Donghai Liu, Xiaohong Chen, Dan Peng
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Multi-Attribute Decision Making Based on Several Trigonometric Hamming Similarity Measures under Interval Rough Neutrosophic Environment [PDF]
Neutrosophic Sets and Systems, 2018 In this paper, the sine, cosine and cotangent similarity measures of interval rough neutrosophic sets is proposed. Some properties of the proposed measures are discussed.
Surapati Pramanik +3 more
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Complexity, 2018 We propose the cosine similarity measures for intuitionistic fuzzy linguistic sets (IFLSs) and interval-valued intuitionistic fuzzy linguistic sets (IVIFLSs), which are expressed by the linguistic scale function based on the cosine function.
Donghai Liu, Xiaohong Chen, Dan Peng
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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 ...
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Cosine Similarity Measure of Interval Valued Neutrosophic Sets [PDF]
Neutrosophic Sets and Systems, 2014 In this paper, we define a new cosine similarity between two interval valued neutrosophic sets based on Bhattacharya’s distance [19]. The notions of interval valued neutrosophic sets (IVNS, for short) will be used as vector representations in 3D-vector ...
Said Broumi, Florentin Smarandache
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Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis [PDF]
, 2018 Textual data are a rich source of knowledge hence, sentence comparison has become one of the important tasks in text mining related works.Most previous work in text comparison are performed at document level, research suggest that comparing sentence ...
Abdulsattar A.Jabbar Alkubaisi, Ghaith +4 more
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Research on User Similarity Calculation of Collaborative Filtering for Sparse Data [PDF]
Jisuanji kexue yu tansuo, 2022 User-based collaborative filtering achieves recommendation for target users based on the preferences of their nearest neighbors, in which how to calculate user similarity is critical.
WU Sen, DONG Yaxian, WEI Guiying, GAO Xiaonan
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Soft Similarity and Soft Cosine Measure: Similarity of Features in Vector Space Model [PDF]
Computación y Sistemas, 2014 We show how to consider similarity between features for calculation of similarity of objects in the Vector Space Model (VSM) for machine learning algorithms and other classes of methods that involve similarity between objects. Unlike LSA, we assume that similarity between features is known (say, from a synonym dictionary) and does not need to be ...
Grigori Sidorov +3 more
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Measuring inter-indexer consistency using a thesaurus [PDF]
, 2006 When professional indexers independently assign terms to a given document, the term sets generally differ between indexers. Studies of inter-indexer consistency measure the percentage of matching index terms, but none of them consider the semantic ...
Medelyan, Olena, Witten, Ian H.
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Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering [PDF]
, 2008 As the common clustering algorithms use vector space model (VSM) to represent document, the conceptual relationships between related terms which do not co-occur literally are ignored.
Li, Chenghua +3 more
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