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Pseudometric Generating Property of Fuzzy Measures Convergence in Fuzzy Measure
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作者 李军 《Journal of Southeast University(English Edition)》 EI CAS 2000年第2期74-79,共6页
The relations among three kinds of structural characteristics of fuzzy measure: (1) pseudometric generating property; (2) pseudometric generating property of type p; (3) null null additivity, and the convergence for ... The relations among three kinds of structural characteristics of fuzzy measure: (1) pseudometric generating property; (2) pseudometric generating property of type p; (3) null null additivity, and the convergence for sequence of measurable function on semi continuous fuzzy measure space are discussed. A set of equivalent conditions for each of these structural characteristics are presented, respectively. It is proved that null null additivity is equivalent to pseudometric generating property for a finite fuzzy measure on S compact space. 展开更多
关键词 fuzzy measure pseudometric generating property null null additivity convergence in measure
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CONVERGENCE IN MEASURE OF MULTIVARIATE PADE APPROXIMANTS
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作者 Li Jiakai Zhuang Guozhong 《Analysis in Theory and Applications》 1993年第1期99-106,共8页
Convergence conclusions of Pade approximants in the univariate case can be found in various papers. However,resuhs in the multivariate case are few.A.Cuyt seems to be the only one who discusses convergence for multiva... Convergence conclusions of Pade approximants in the univariate case can be found in various papers. However,resuhs in the multivariate case are few.A.Cuyt seems to be the only one who discusses convergence for multivariate Pade approximants,she gives in[2]a de Montessus de Bollore type theorem.In this paper,we will discuss the zero set of a real multivariate polynomial,and present a convergence theorem in measure of multivariate Pade approximant.The proof technique used in this paper is quite different from that used in the univariate case. 展开更多
关键词 convergence IN measure OF MULTIVARIATE PADE APPROXIMANTS APPI
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Convergence of Impact Measures and Impact Bundles
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作者 Leo Egghe 《Journal of Data and Information Science》 CSCD 2022年第3期5-19,共15页
Purpose:A new point of view in the study of impact is introduced.Design/methodology/approach:Using fundamental theorems in real analysis we study the convergence of well-known impact measures.Findings:We show that poi... Purpose:A new point of view in the study of impact is introduced.Design/methodology/approach:Using fundamental theorems in real analysis we study the convergence of well-known impact measures.Findings:We show that pointwise convergence is maintained by all well-known impact bundles(such as the h-,g-,and R-bundle)and that theμ-bundle even maintains uniform convergence.Based on these results,a classification of impact bundles is given.Research limitations:As for all impact studies,it is just impossible to study all measures in depth.Practical implications:It is proposed to include convergence properties in the study of impact measures.Originality/value:This article is the first to present a bundle classification based on convergence properties of impact bundles. 展开更多
关键词 Pointwise and uniform convergence of impact measures and bundles Second Dini theorem Arzelà’s theorem Bundle classification Generalized h-and g-indices PERCENTILES
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CONVERGENCE OF LOGARITHMIC MEANS OF MULTIPLE WALSH-FOURIER SERIES 被引量:1
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作者 G.Gát U.Goginava G.Tkebuchava 《Analysis in Theory and Applications》 2005年第4期326-338,共13页
Norlund logarithmic means of multiple Walsh-Fourier series acting from space L In^d-1 L ([0, 1)d), d≥1 into space weak - LI([0,1)^d) are studied. The maximal Orlicz space such that the Norlund logarithmic means... Norlund logarithmic means of multiple Walsh-Fourier series acting from space L In^d-1 L ([0, 1)d), d≥1 into space weak - LI([0,1)^d) are studied. The maximal Orlicz space such that the Norlund logarithmic means of multiple Walsh-Fourier series for the functions from this space converge in d-dimensional measure is found. 展开更多
关键词 Multiple Walsh-Fourier series convergence in metric and in measure Norlund means
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Robust two-stage reduced-dimension STAP algorithm andits performance analysis
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作者 Yuanzhang Fan Yongxu Liu +1 位作者 jianping An Xiangyuan Bu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第5期954-960,共7页
A new two-stage reduced-dimension space-time adaptiveprocessing (STAP) approach, which combines the subcoherentprocessing interval (sub-CPI) STAP and the principalcomponent analysis (PCA), is proposed to achieve... A new two-stage reduced-dimension space-time adaptiveprocessing (STAP) approach, which combines the subcoherentprocessing interval (sub-CPI) STAP and the principalcomponent analysis (PCA), is proposed to achieve a more enhancedconvergence measure of effectiveness (MOE). Furthermore,in the case of the subspace leakage phenomenon, theproposed STAP method is modified to hold the fast convergenceMOE by using the covariance matrix taper (CMT) technique. Bothsimulation and real airborne radar data processing are providedto analyze the convergence MOE performance of the proposedSTAP methods. The results show the proposed method is moresuitable for the practical radar applications when compared withthe conventional sub-CPI STAP method. 展开更多
关键词 space-time adaptive processing reduced-dimensiontechnique covariance matrix taper convergence measure of effectiveness.
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