Results 21 to 30 of about 10,216,557 (216)
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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Combining Fuzzy Logic and Dempster-Shafer Theory [PDF]
, 2015 This research aims to combine the mathematical theory of evidence with the rule based logics to refine the predictable output. Integrating Fuzzy Logic and Dempster-Shafer theory by calculating the similarity between Fuzzy membership function. The novelty
Hasan, Md. Mahmud +2 more
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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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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 +3 more
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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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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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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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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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GR-303 Dempster-Shafer Theory of Computation [PDF]
, 2022 To implement the Dempster-Shafer Theory algorithm as well as check the prediction accuracy using this mentioned algorithm in the iris dataset. The actual aim of this paper is to understand and implement the Dempster-Shafer Theory using the python ...
Bandi, Dhanunjai +4 more
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