Results 1 to 10 of about 9,780 (156)
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 +2 more
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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 +2 more
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A Dual Measure of Uncertainty: The Deng Extropy [PDF]
, 2020 The extropy has recently been introduced as the dual concept of entropy. Moreover, in the context of the Dempster–Shafer evidence theory, Deng studied a new measure of discrimination, named the Deng entropy.
Buono, Francesco, Longobardi, Maria
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Combination of Evidence in Dempster-Shafer Theory [PDF]
, 2002 Dempster-Shafer theory offers an alternative to traditional probabilistic theory for the mathematical representation of uncertainty. The significant innovation of this framework is that it allows for the allocation of a probability mass to sets or intervals.
Sentz, Kari, Ferson, Scott
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Distributed Attack Prevention Using Dempster-Shafer Theory of Evidence [PDF]
, 2017 This paper details a robust collaborative intrusion detection methodology for detecting attacks within a Cloud federation. It is a proactive model and the responsibility for managing the elements of the Cloud is distributed among several monitoring nodes.
Mac Dermott, AM, Shi, Q, Kifayat, K
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Indistinguishability relations in Dempster–Shafer theory of evidence
International Journal of Approximate Reasoning, 2004 Each theory or model implicitly defines its inherent notion of equality for the objects in question. In turn, this equality, and its counterpart, the mathematical concept of equivalence, provides the basis on which to establish classification mechanisms for the domain at hand.
Hernandez, E, Recasens Ferrés, Jorge
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Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion [PDF]
, 2019 Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster–Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Anwar, Sohel, Khan, Md Nazmuzzaman
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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 +3 more
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Dempster-Shafer's Basic Probability Assignment Based on Fuzzy Membership Functions [PDF]
, 2004 In this paper, an image segmentation method based on Dempster-Shafer evidence theory is proposed. Basic probability assignment (bpa) is estimated in unsupervised way using pixels fuzzy membership degrees derived from image histogram.
Bentabet, Ayachi +3 more
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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 +3 more
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