Results 11 to 20 of about 1,315 (181)
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
openaire +1 more source
IEEE Access, 2021 Multisensor data fusion is extensively used to merge data from heterogeneous sensors in a smart environment. However, sensors provide noisy and uncertain information which is a big challenge for researchers.
Ihsan Ullah, Joosang Youn, Youn-Hee Han
doaj +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 +2 more
openaire +1 more source
Human Cognitive Models for Heritage Site Monitoring
Digital Presentation and Preservation of Cultural and Scientific Heritage, 2021 Integrating evidence from a single sensor over time is becoming more common due to the Internet of Things (IoT). It can play a critical role in Heritage site monitoring, as networks of sensors are required to catalog and analyze data over extended ...
Michael E. Farmer
doaj +1 more source
Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion
Entropy, 2022 Dempster–Shafer evidence theory is widely used in modeling and reasoning uncertain information in real applications. Recently, a new perspective of modeling uncertain information with the negation of evidence was proposed and has attracted a lot of ...
Yongchuan Tang, Yong Chen, Deyun Zhou
doaj +1 more source
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
openaire +2 more sources
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
openaire +1 more source
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
openaire +4 more sources
Sensors, 2019 Bearing fault diagnosis of a rotating machine plays an important role in reliable operation. A novel intelligent fault diagnosis method for roller bearings has been developed based on a proposed hybrid classifier ensemble approach and the improved ...
Yanxue Wang, Fang Liu, Aihua Zhu
doaj +1 more source
IEEE Access, 2022 Multi-granularity unbalanced hesitant fuzzy linguistic term set (MGUHFLTS) is an effective expression of linguistic information, which applied in multi-attribute group decision-making (MAGDM), meanwhile Dempster-Shafer evidence theory (DSET) is profound ...
Lili Rong
doaj +1 more source