Rules and reasoning have been playing a significant role in ***,as the data and logics are becoming increasingly massive and distributed,the traditional reasoning algorithms are of low *** address this problem,we cons...
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Rules and reasoning have been playing a significant role in ***,as the data and logics are becoming increasingly massive and distributed,the traditional reasoning algorithms are of low *** address this problem,we consider immigrating application to its data,that is,adapting business logics from logic-centric to data-centric by analyzing data so as to speed up reasoning.
Along with the development of social economy and information technology,the complexity and uncertainty of the problem are increasing,which brings new challenges and opportunities in intelligent information *** the stu...
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Along with the development of social economy and information technology,the complexity and uncertainty of the problem are increasing,which brings new challenges and opportunities in intelligent information *** the study of multiple attribute decision,superiority comparison between colony information based on Gauss distribution is *** exists widely in the industrial application,such as the comparison of entertainment movie by lots of audiences,the evaluation to teachers by many students,etc.
This paper is intended to improve moving object image *** on rough set theory,a split decision algorithm of image segmentation is *** of noise is based on a new filtering defined on equivalence relation in a sliding w...
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This paper is intended to improve moving object image *** on rough set theory,a split decision algorithm of image segmentation is *** of noise is based on a new filtering defined on equivalence relation in a sliding window with 4 *** effective image edge enhancement is realized on concepts of approximation accuracy of rough sets.A quantitative evaluation of image enhancement is by adaptive enhancement of *** simulation shows that the image enhancement method proposed is superior to the traditional method in effectively improving moving image degradation and image clarity.
In recent years,data clustering analysis is required by the search of several areas in intuitionistic fuzzy *** some researchers committed to present intuitionistic fuzzy C-means clustering algorithms (IFCM)as the gen...
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In recent years,data clustering analysis is required by the search of several areas in intuitionistic fuzzy *** some researchers committed to present intuitionistic fuzzy C-means clustering algorithms (IFCM)as the generalization of *** the characteristic index matrix of classified objects be A=(A1,A2,…,An) and c a given number of *** the characteristic index matrix of cluster centers be V=(V1,V2,…,,Vc).Both each object and cluster center have m characteristic index values.
Infrared image denoising is the basis of infrared application *** existing denoising methods only consider independent pixel in infrared image,without considering the relationship among *** infrared image structure si...
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Infrared image denoising is the basis of infrared application *** existing denoising methods only consider independent pixel in infrared image,without considering the relationship among *** infrared image structure similarity,non-local regularization method is used for infrared image *** different noise level,the experimental results show that the non-local regularization method has better denoising effect than the total variation regularization model,wavelet transform and the bilateral filter method in infrared image application process.
Recently,the connection between Matrix Theory and Formal Context Analysis (FCA) has been widely ***,most of the literatures only paid attention to non-linear decomposition of matrix,and only little work has been done ...
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Recently,the connection between Matrix Theory and Formal Context Analysis (FCA) has been widely ***,most of the literatures only paid attention to non-linear decomposition of matrix,and only little work has been done on linear *** paper aims to present some preliminary results on linear connection of Matrix Theory and *** this end,we will first show that formal context is actually a linear transformation from the space of power mean matrix,a new special matrix presented in the paper,to the system of extents,or to the system of intents depending on power mean matrices chosen.
The workflow scheduling algorithms and strategies having been put forward by Wieczorek M,Rajakumar S,Simion B,Shi Zhiao,etc can be effectively applied to deal with instance-sparse workflows and single complex instance...
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The workflow scheduling algorithms and strategies having been put forward by Wieczorek M,Rajakumar S,Simion B,Shi Zhiao,etc can be effectively applied to deal with instance-sparse workflows and single complex instance,but these computing techniques are inefficient to dispatch and process instance-intensive workflows which emerge largely in the electronic commerce,the online banking,the e-government,and the cloud computing *** cloud computing has many unique advantages of facilitating instance-intensive workflows execution except unreliable server resource.
The expressed genes of plant are often *** is posed to biologist how to find a set of coexpressed genes that are relevant to a biological *** this paper,we proposed a novel method to construct coexpression *** scheme ...
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The expressed genes of plant are often *** is posed to biologist how to find a set of coexpressed genes that are relevant to a biological *** this paper,we proposed a novel method to construct coexpression *** scheme is divided into two ***,the different expression genes are identified by using feature selection ***,the coexpression network is constructed based on the genes identified by the first *** on real gene expression data of Arabidopsis responding to abiotic stresses,experimental results show that our method can discover the coexpression modules associated with the special biological process.
Decision tree and fuzzy rough set are two distinct but complementary *** tree is a simple and easy-understandable rule-based classifier,whereas the tool of fuzzy rough sets are effective on attribute and sample *** is...
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Decision tree and fuzzy rough set are two distinct but complementary *** tree is a simple and easy-understandable rule-based classifier,whereas the tool of fuzzy rough sets are effective on attribute and sample *** is promising to propose an approach to integrate these two rule based classification tools to construct a novel decision tree based on fuzzy rough *** this paper,based on the basic concept of fuzzy rough sets,i.e.,consistence degree,we propose a fuzzy rough decision tree which is completely different from the existing classification *** three key basic elements of decision tree,i.e.,node,branch and leaf,are designed in a new way by using the notions in fuzzy rough *** then one algorithm to build fuzzy rough tree classifier is ***,experimental results show that the proposed algorithm is readily comprehensible and effective.
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