Results 21 to 30 of about 1,315 (181)

Using Dempster-Shafer Theory of Evidence for Situation Inference [PDF]

, 2009
In the domain of ubiquitous computing, the ability to identify the occurrence of situations is a core function of being 'context-aware'. Given the uncertain nature of sensor information and inference rules, reasoning techniques that cater for uncertainty hold promise for enabling the inference process.
McKeever, Susan, Ye, Juan, Coyle, Lorcan, Dobson, Simon   +3 more
openaire   +2 more sources

COMBINATION OF GENETIC ALGORITHM AND DEMPSTER-SHAFER THEORY OF EVIDENCE FOR LAND COVER CLASSIFICATION USING INTEGRATION OF SAR AND OPTICAL SATELLITE IMAGERY [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
The integration of different kinds of remotely sensed data, in particular Synthetic Aperture Radar (SAR) and optical satellite imagery, is considered a promising approach for land cover classification because of the complimentary properties of each data ...
H. T. Chu, L. Ge
doaj   +1 more source

An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment

Journal of Mathematics, 2020
Uncertainty in data fusion applications has received great attention. Due to the effectiveness and flexibility in handling uncertainty, Dempster–Shafer evidence theory is widely used in numerous fields of data fusion.
Yong Chen, Yongchuan Tang, Yan Lei
doaj   +1 more source

Robust fault diagnosis of a high-voltage circuit breaker via an ensemble echo state network with evidence fusion

Complex & Intelligent Systems, 2023
Reliable mechanical fault diagnosis of high-voltage circuit breakers is important to ensure the safety of electric power systems. Recent fault diagnosis approaches are mostly based on a single classifier whose performance relies heavily on expert prior ...
Xiaofeng Li, Xiaoying Zheng, Tao Zhang, Wenyong Guo, Zhou Wu   +4 more
doaj   +1 more source

Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory [PDF]

, 2006
Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve the classification result. More complex ways of evaluating the hierarchy output that take into account the complete information the hierarchy provides yield improved classification ...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel, Günther Palm   +3 more
openaire   +1 more source

A modified belief entropy in Dempster-Shafer framework. [PDF]

PLoS ONE, 2017
How to quantify the uncertain information in the framework of Dempster-Shafer evidence theory is still an open issue. Quite a few uncertainty measures have been proposed in Dempster-Shafer framework, however, the existing studies mainly focus on the mass
Deyun Zhou, Yongchuan Tang, Wen Jiang
doaj   +1 more source

Enhanced fire detection: a weighted bounding box fusion approach based on Dempster–Shafer theory [PDF]

PeerJ Computer Science
In this study, we present an advanced fire detection approach using an improved weighted bounding box fusion technique based on Dempster–Shafer theory. A key challenge in fire detection is the inherent uncertainty in distinguishing true fire events from ...
Kheireddine Choutri, Nour El Imane Hamda, Allel Hadjali, Mohand Lagha, Souham Meshoul, Samiha Fadloun   +5 more
doaj   +2 more sources

An Evidential Aggregation Method of Intuitionistic Fuzzy Sets Based on Belief Entropy

IEEE Access, 2019
Intuitionistic fuzzy sets (IFSs) are essential in the multi-criteria decision making (MCDM) under uncertain environment. However, how to reasonably aggregate them with considering the uncertainty contained in the IFSs is still an open issue.
Zeyi Liu, Fuyuan Xiao
doaj   +1 more source

A new model for threat assessment in data fusion based on fuzzy evidence theory

IJAIN (International Journal of Advances in Intelligent Informatics), 2016
In this paper a new method for threat assessment is proposed based on Fuzzy Evidence Theory. The most widely classical and intelligent methods used for threat assessment systems will be Evidence or Dempster Shafer and Fuzzy Sets Theories.
Ehsan Azimirad, Javad Haddadnia
doaj   +1 more source

A New Belief Entropy Based on Deng Entropy

Entropy, 2019
For Dempster−Shafer evidence theory, how to measure the uncertainty of basic probability assignment (BPA) is still an open question. Deng entropy is one of the methods for measuring the uncertainty of Dempster−Shafer evidence.
Dan Wang, Jiale Gao, Daijun Wei
doaj   +1 more source