Results 251 to 260 of about 1,063,307 (308)

SINE ENTROPY FOR UNCERTAIN VARIABLES

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2013
Entropy is a measure of the uncertainty associated with a variable whose value cannot be exactly predicated. In uncertainty theory, it has been quantified so far by logarithmic entropy. However, logarithmic entropy sometimes fails to measure the uncertainty.
Yao, Kai, Gao, Jinwu, Dai, Wei
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Complex uncertain random variables

Soft Computing, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gao, Rong, Zhang, Zhiqiang, Ahmadazde, Hamed, Ralescu, Dan A.   +3 more
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Convergence Theorems for Uncertain Variable Sequences

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2014
For uncertain variable sequences, conditions of convergences such as Cauchy convergence in measure, convergence almost surely and convergence uniformly almost surely are given. Consequently, the relationships among convergences of uncertain variable sequences are shown. These results have not been proposed in literature so far.
Wu, Jianrong, Xia, Yang
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Uncertain Variables in Decision Problems for Hybrid Uncertain Systems

18th International Conference on Systems Engineering (ICSEng'05), 2006
The paper is concerned with the application of uncertain variables to complex uncertain systems containing elements with random parameters described by probability distributions and uncertain parameters described by certainty distributions given by an expert.
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Cross-entropy measure of uncertain variables

Information Sciences, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Xiaowei, Kar, Samarjit, Ralescu, Dan A.   +2 more
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Partial entropy of uncertain random variables

Journal of Intelligent & Fuzzy Systems, 2017
In this paper, we mainly propose a definition of partial entropy for uncertain random variables. In fact, partial entropy is a tool to characterize how much of entropy of an uncertain random variable belongs to the uncertain variable. Furthermore, some properties of partial quadratic entropy are investigated such as positive linearity.
Ahmadzade, Hamed, Gao, Rong, Dehghan, Mohammad Hossein, Sheng, Yuhong   +3 more
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The p-distance of uncertain variables

Journal of Intelligent & Fuzzy Systems, 2017
In order to research the properties of distance for uncertain variables, we introduced a new concept of p-distance. Then the properties of nonnegativity, identification, symmetry, and triangle inequality for the p-distance of uncertain variables and uncertain vectors were obtained.
You, Cuilian, Yan, Lijuan
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Constructing accounting uncertainity estimates variable [PDF]

e-Finanse, 2012
This paper presents research results on the BIH firms' financial reporting quality, utilizing empirical relation between accounting conservatism, generated in created critical accounting policy choices, and management abilities in estimates and prediction power of domicile private sector accounting.
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Quadratic entropy of uncertain variables

Soft Computing, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Uncertain Logics and Variables

2004
In this chapter, we present basic theoretical foundations of uncertain variables — as a comparatively new tool for analysis and decision problems in uncertain systems [44, 46, 54]. The uncertain variable is described by a certainty distribution given by an expert and characterizing his or her knowledge on approximate values of the variable.
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