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The attributes similar-degree of complex networks

2010 2nd International Conference on Future Computer and Communication, 2010
The self-similarity of complex has extensive practical background in real world. It is similar to the phenomena of social relationships: “things of one kind come together, birds of a feather flock together”. Hence, we proposed the self-similarity network evolving model based on attributes similarity between the nodes.
Shaohua Tao, Xiaopeng Yue
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A Classification Algorithm Based on Similarity Degree

2009 WRI World Congress on Computer Science and Information Engineering, 2009
First,  we give the definition of similarity degree of objects in continuous domain decision table; then, according to the idea of classification,  an attribute reduct algorithm of decision table with continuous attributes is  put forward; at last,  a classification algorithm   is proposed and  also the validity of this classification algorithm is ...
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Personalized Recommendation Based on Scholars’ Similarity and Trust Degree

2021
With the rapid development of online social networks, academic social networks (ASNs) platforms are increasingly favored by researchers. For the scholar services built on the ASNs, recommending personalized researchers have become more important, as it could promote academic communication and scientific research for scholars.
Lunjie Qiu   +4 more
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Maximum similarity degree for 2D fuzzy face recognition

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2017
In this paper, a maximum similarity criterion is proposed which is adapted to a new fuzzy face recognition method (namely, 2DFMS). The similarity degree between faces is defined by a nonlinear function. Based on this similarity, an improvement fuzzy membership function is obtained by applying k-nearest neighbor.
Yi Li, Xiaodong Liu, Yi Li
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Similarity and Degree of Perplexity Analysis of Chinese Characters

Journal of Quantitative Linguistics, 2011
Abstract The study of Chinese scripts has always been a topic drawing continuous scholarly attention from various perspectives. Facilitated with the development of computing technology, recent years saw an increasing interest in the graphic pattern of Chinese characters.
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Study on similarity based on connection degree in social network

Cluster Computing, 2017
Application of set pair analysis theory, the social network is as an identical---discrepancy---contrary system. Firstly, based on connection degree to descript the identical---discrepancy---contrary relation between vertices, considering the contribution of local features and the topological structure to the similarity between vertices, we define the ...
Xiao Chen   +3 more
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Lipreading Using the Fuzzy Degree of Similarity

1995
Lipreading through visual processing techniques help provide some useful systems for the hearing impaired to learn communication assistance. This paper proposes a method to understand spoken words by using visual images taken by a camera with a video-digitizer.
K. Kurosu   +3 more
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Solvated forms of carbenoxolone – different degrees of structural similarities

Acta Crystallographica Section B Structural Science, Crystal Engineering and Materials
Carbenoxolone (CBXH 2 ) is a biologically active compound first synthesized in the late 1950s. Four new solvates of CBXH 2 with propan-1-ol, tert -butanol, dimethylformamide and dimethyl sulfoxide were obtained ...
Bartłomiej Kobus   +5 more
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Generating Fuzzy Thesaurus by Degree of Similarity in Fuzzy Covering

2003
A notion of fuzzy covering over a set of terms was proposed as a generalization of a well known fuzzy partition. Degree of similarity relationship between fuzzy classes (subsets) on the set of terms (subjects) as results of the fuzzy covering is approximately calculated using a fuzzy conditional probability relation by which degree of similarity ...
Rolly Intan, Masao Mukaidono
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Evaluator, distance, similarity degree

1985
Similarity degree of fuzzy sets is an important concept in fuzzy theory. In this paper we discuss the relations among evaluator, distance and similarity degree, and give some methods to construct them.
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