Results 21 to 30 of about 1,384 (184)

Dempster-Shafer's Evidence Theory-based Edge Detection [PDF]

International Journal of Fuzzy Logic and Intelligent Systems, 2011
Edges represent significant boundary information between objects or classes. Various methods, which are based on differential operation, such as Sobel, Prewitt, Roberts, Canny, and etc. have been proposed and widely used. The methods are based on a linear convolution of mask with pre-assigned coefficients.
Suk Tae Seo, Krishnamoorthy Sivakumar, Soon Hak Kwon   +2 more
openaire   +1 more source

Sentiment Prediction Based on Dempster‐Shafer Theory of Evidence [PDF]

Mathematical Problems in Engineering, 2014
Sentiment prediction techniques are often used to assign numerical scores to free‐text format reviews written by people in online review websites. In order to exploit the fine‐grained structural information of textual content, a review may be considered as a collection of sentences, each with its own sentiment orientation and score.
Mohammad Ehsan Basiri, Ahmad Reza Naghsh-Nilchi, Nasser Ghasem-Aghaee   +2 more
openaire   +1 more source

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.
Susan McKeever, Juan Ye, Lorcan Coyle, Simon A. Dobson   +3 more
openaire   +2 more sources

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

Combination of Acoustic Classifiers Based on Dempster-Shafer Theory of Evidence [PDF]

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007
In this paper we investigate combination of neural net based classifiers using Dempster-Shafer theory of evidence. Under some assumptions, combination rule resembles a product of errors rule observed in human speech perception. Different combination are tested in ASR experiments both in matched and mismatched conditions and compared with more ...
Fabio Valente, Hynek Hermansky
openaire   +3 more sources

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

On the Combinality of Evidence in the Dempster-Shafer Theory

CoRR, 2013
In the current versions of the Dempster-Shafer theory, the only essential restriction on the validity of the rule of combination is that the sources of evidence must be statistically independent. Under this assumption, it is permissible to apply the Dempster-Shafer rule to two or mere distinct probability distributions.
Lotfi A. Zadeh, Anca L. Ralescu
openaire   +2 more sources

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