Results 21 to 30 of about 2,059,205 (180)

A Switching Strategy for Stabilization of Discrete-Time Switched Positive Time-Varying Delay Systems with All Modes Being Unstable and Application to Uncertain Data

open access: yesAxioms, 2023
The stability problem of switched systems plays an essential role in the study of long-term behavior. In fact, systems containing both time delay and uncertainty terms may lead to performance degradation of those systems.
Thanasak Mouktonglang   +2 more
doaj   +1 more source

FUZZY MODELLING IN RISK ASSESSMENT OF OIL AND GAS PRODUCTION ENTERPRISES’ ACTIVITY [PDF]

open access: yesBaltic Journal of Economic Studies, 2017
The purpose of the article is to develop a fuzzy model of assessment of risks of activities of oil and gas production enterprises. Methodology. Due to a large number of factors, influencing the probability of risk occurrence, and in order to obtain a ...
Iryna Fadyeyeva, Oksana Gryniuk
doaj   +1 more source

Landslide susceptibility mapping using O-CURE and PAM clustering algorithms

open access: yesFrontiers in Environmental Science, 2023
Landslide susceptibility mapping (LSM) is a crucial step during landslide assessment and environmental management. Clustering algorithms can construct effective models for LSM.
Deborah Simon Mwakapesa   +4 more
doaj   +1 more source

Duplicate Detection in Probabilistic Data [PDF]

open access: yes, 2009
Collected data often contains uncertainties. Probabilistic databases have been proposed to manage uncertain data. To combine data from multiple autonomous probabilistic databases, an integration of probabilistic data has to be performed.
Keijzer, Ander de   +3 more
core   +10 more sources

Duality Results for a Class of Constrained Robust Nonlinear Optimization Problems

open access: yesMathematics, 2022
In this paper, we establish various results of duality for a new class of constrained robust nonlinear optimization problems. For this new class of problems, involving functionals of (path-independent) curvilinear integral type and mixed constraints ...
Savin Treanţă, Tareq Saeed
doaj   +1 more source

Integrating and Ranking Uncertain Scientific Data [PDF]

open access: yes, 2008
Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly lead to spurious connections and incorrect results.
Detwiler, Landon T   +4 more
core   +6 more sources

Querying Uncertain Spatio-Temporal Data [PDF]

open access: yes2012 IEEE 28th International Conference on Data Engineering, 2012
The problem of modeling and managing uncertain data has received a great deal of interest, due to its manifold applications in spatial, temporal, multimedia and sensor databases. There exists a wide range of work covering spatial uncertainty in the static (snapshot) case, where only one point of time is considered.
Emrich, T   +4 more
openaire   +2 more sources

Supporting User-Defined Functions on Uncertain Data [PDF]

open access: yes, 2013
Uncertain data management has become crucial in many sensing and scientific applications. As user-defined functions (UDFs) become widely used in these applications, an important task is to capture result uncertainty for queries that evaluate UDFs on ...
Adler R. J.   +19 more
core   +3 more sources

Efficient Clustering of Uncertain Data [PDF]

open access: yesSixth International Conference on Data Mining (ICDM'06), 2006
We study the problem of clustering data objects whose locations are uncertain. A data object is represented by an uncertainty region over which a probability density function (pdf) is defined. One method to cluster uncertain objects of this sort is to apply the UK-means algorithm, which is based on the traditional K-means algorithm.
Chau, M   +5 more
openaire   +2 more sources

Belief Entropy Tree and Random Forest: Learning from Data with Continuous Attributes and Evidential Labels

open access: yesEntropy, 2022
As well-known machine learning methods, decision trees are widely applied in classification and recognition areas. In this paper, with the uncertainty of labels handled by belief functions, a new decision tree method based on belief entropy is proposed ...
Kangkai Gao, Yong Wang, Liyao Ma
doaj   +1 more source

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