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检索条件"主题词=uncertain measure"

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APPROXIMATE COMMON KNOWLEDGE BASED ON uncertain measure

APPROXIMATE COMMON KNOWLEDGE BASED ON UNCERTAIN MEASURE

引用

The Ninth International Conference on Electronic Business

作者： Cheng Wang Wansheng Tang~* Ruiqing Zhao Institute of Systems Engineering Tianjin University Tianjin 300072 China

＜正＞This paper studies that how an uncertain event can be outlined as an approximate common *** replacing"know"with"know with certaintyα"in standard definitions of common knowledge,approximate common knowledge with some certainty,defined iteratively and mutually,iteratively known and mutually known with some certainty,are *** are constructed to show that an event which is not common knowledge can be analyzed as an approximate common knowledge with some *** application in the principal-agent model is investigated to show that approximate common knowledge based on uncertain measure can be applied to improve the behavior of an economic model.

关键词： Common knowledge Iteratively known Mutually known uncertain event uncertain measure Principal-agent model

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Construct Theorem of uncertain measure

Construct Theorem of Uncertain Measure

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第七届中国不确定系统年会

作者： Cheng-Yun Li,Xing-Fang Zhang School of Mathematics Science,Liao Cheng University,Liaocheng,252059,P.R.China

＜正＞uncertain measure plays an important role in uncertainty *** this paper,construct theorem of uncertain measure is *** theorem indicated that we can construct uncertain measure nearly by any nonnegative set funct... 详细信息

关键词： uncertainty theory uncertain measure set function

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Some Properties of Continuous uncertain measure

Some Properties of Continuous Uncertain Measure

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第五届中国不确定系统年会

作者： Xin Gao Department of Mathematical Sciences,Tsinghua University Beijing 100084,China

＜正＞In this paper,we discuss some proper- ties in uncertainty theory when uncertain measure is ***,the judgement conditions of con- tinuous uncertain measure are ***, basic properties of uncertainty distribution and... 详细信息

关键词： uncertainty theory uncertain measure uncertain variable continuous

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Rough Set Model Based on uncertain measure

Rough Set Model Based on Uncertain Measure

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第四届中国智能计算大会

作者： Dazeng Tian,Lin Wang,Jing Wu,Minghu Ha College of Mathematics and Computer Sciences,Hebei University,Baoding 071002,China

＜正＞Probabilistic rough set model based on probability measure is a new rough set model to deal with uncertain information *** measure is a generalization of probability *** on the fundamental knowledge of rough set model and uncertain measure,a rough set model based on uncertain measure is ***,by comparative study of the lower approximation and upper approximation,it is true that the rough set model based on uncertain measure is an extension of the probabilistic rough set model.

关键词： rough set model lower approximation upper approximation uncertain measure

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Some Convergence Theorems of uncertain Sequences

Some Convergence Theorems of Uncertain Sequences

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第五届中国不确定系统年会

作者： Cuilian You~(1,2) ~1Department of Mathematical Sciences Tsinghua University,Beijing 100084,China ~2Department of Mathematics and Computer Science Hebei University,Baoding 071002,China

＜正＞uncertain variables are measurable func- tions from uncertainty spaces to the set of real num- *** order to discuss the mathematical properties of uncertain sequences,some limit theorems based on continuous uncertain measure are *** ad- dition,a new kind of convergence,convergence uni- formly almost surely,is ***,relation- ships between convergence almost surely uniformly and convergence almost surely,convergence in mea- sure,convergence in mean,and convergence in distri- bution are discussed.

关键词： uncertain measure uncertain variable Expected value Convergence

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Step Empirical uncertainty Distribution and its Applications

Step Empirical Uncertainty Distribution and its Applications

引用

The Eleventh International Conference on Information and Management Sciences(IMS2012) in Celebrating of the 60th Birthday of Prof.Shu-Cherng Fang

作者： Chunxia Xu Zhichao Gao College of Science Hebei University of Engineering Handan 056038 China

＜正＞uncertain statistics is a methodology for collecting and interpreting expert’s experimental data by uncertainty theory. Firstly,based on experts’ experimental data,this paper defines a step empirical uncertainty ***,empirical mean,empirical variance and the kth empirical moment are ***,this paper presents a method of moments to estimate the unknown parameters of uncertainty distribution.

关键词： uncertain measure uncertainty distribution parameter estimate

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uncertainty Decision Analysis

Uncertainty Decision Analysis

引用

第八届中国不确定系统年会

作者： Renkuan Guo~1,Yanghong Cui~1,and Danni Guo~2 1 Department of Statistical Sciences,University of Cape Town,Private Bag, Rondebosch,7701,Cape Town,South Africa 2 Kirstenbosch Research Center,South African National Biodiversity Institute, Private Bag X7,Claremont 7735,Cape Town,South Africa

＜正＞Statistical decision theory is a framework with a probabilistic foundation,which admits the random uncertainty about the real world and human *** this paper,we propose a theoretical framework for the observational data oriented decision analysis under general uncertainty environments. We start with the three basic elements of an uncertainty decision problem,evolve naturally to the investigation on the unique characteristic and the fundamental roles of uncertainty distribution underlying the observational data in decision process,and finally end at the establishment of an uncertainty Bayesian data modeling under the Maximum uncertainty Principle.

关键词： Statistical decision state space action space loss function risk uncertain measure the essential form of uncertain distribution uncertainty decision uncertainty Bayesian analysis

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Applications of uncertain Canonical Process in Spatial Predictions

Applications of Uncertain Canonical Process in Spatial Predi...

引用

第九届中国不确定系统年会、第五届中国智能计算大会、第十三届中国青年信息与管理学者大会

作者： Danni Guo~1,Renkuan Guo~2,and Yanghong Cui~2 1 Kirstenbosch Research Center,South African National Biodiversity Institute,Private Bag X7,Claremont 7735, Cape Town,South Africa 2 Department of Statistical Sciences,University of Cape Town,Private Bag,Rondebosch,7701,Cape Town, South Africa

The Quiver trees spread in arid Namibia and South *** order to investigate the spatial distribution pattern associated with climate changes, from 2002 to 2008,Quiver trees observational data were *** to the financial constraint,data set is not large enough and even uncompleted:only forty-three out of the originally designated fifty-three observational sites,which causes extreme difficulties in the spatial pattern *** our preliminary analysis,we found that the growth of the Quiver trees is robust to climate variables,say,rainfall and temperature and further that even for close sites geographically,the growths can be very diversified, which implies conventional kriging prediction or the inverse distance approach not working in the *** this paper,we define signal to noise ratio as a habitat measure for the Quiver Trees and engage the uncertain interpolation and extrapolation approaches including the uncertain canonical process regression and uncertain kriging prediction,for the habitat measure of the ten"missing"sites.

关键词： Quiver trees habitat measure habitat distance uncertain measure uncertain canonical process regression uncertain kriging prediction

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Liu’s uncertain Normal Distribution

Liu’s Uncertain Normal Distribution

引用

The First International Conference on uncertainty Theory

作者： Christien Thiart Department of Statistical Sciences University of Cape TownPrivate BagRondebosch7701Cape TownSouth Africa

＜正＞In probability theory,normal distribution plays the fundamental roles and facilitates the linear statistical *** this paper,we investigate the basic characterization,moments and properties of Liu’s uncertain normal distribution established on the axiomatic uncertain measure *** order to have the best exposure,we compare the uncertain distribution to the probabilistic normal random variable systematically in our discussions.

关键词： uncertain measure uncertain normal distribution Gauss normal distribution

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uncertain Canonical Process Driven Models and Data Analysis

Uncertain Canonical Process Driven Models and Data Analysis

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第九届中国不确定系统年会、第五届中国智能计算大会、第十三届中国青年信息与管理学者大会

作者： Renkuan Guo~1,Yanghong Cui~1,and Danni Guo~2 1 Department of Statistical Sciences,University of Cape Town,Private Bag,Rondebosch,7701,Cape Town, South Africa 2 Kirstenbosch Research Center,South African National Biodiversity Institute,Private Bag X7,Claremont 7735, Cape Town,South Africa

Classical statistical modeling and data analysis are typically assuming certain distributional family governing the behavior of data *** driven force is either a hypothesized probability distributional family or a stochastic *** example,Gaussian process regression models have Gaussian process as their driven *** the new uncertainty statistical modeling and data analysis on the uncertain measure foundation should be developed similarly and *** this paper, based on the reviewing the basic elements to build up a Gaussian process regression model,we propose a framework of the uncertain canonical process driven models and data analysis.

关键词： Statistical model and analysis Gaussian process driven models uncertain measure uncertain calculus uncertain canonical process driven models

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