Results 11 to 20 of about 1,384 (184)
Can Evidence Be Combined in the Dempster-Shafer Theory [PDF]
CoRR, 1988 Dempster's rule of combination has been the most controversial part of the Dempster-Shafer (D-S) theory. In particular, Zadeh has reached a conjecture on the noncombinability of evidence from a relational model of the D-S theory. In this paper, we will describe another relational model where D-S masses are represented as conditional granular ...
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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
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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
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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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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
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A Neighborhood Rough Classification with Dempster-Shafer Evidence Theory
Nantong Daxue xuebao. Ziran kexue ban, 2021 In order to further improve the classification mechanism and the performance of neighborhood classifier, a Dempster-Shafer(D-S) evidence-driven neighborhood rough classification method is proposed.
JU Hengrong; DING Weiping; YIN Tao; FAN Zhe; LIU Jiubing
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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
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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
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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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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
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