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Logarithmic Negation of Basic Probability Assignment and Its Application in Target Recognition
Information, 2022 The negation of probability distribution is a new perspective from which to obtain information. Dempster–Shafer (D–S) evidence theory, as an extension of possibility theory, is widely used in decision-making-level fusion.
Shijun Xu +4 more
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The Negation of Basic Probability Assignment [PDF]
IEEE Access, 2019 In many cases, we obtain information using various methods in order to make better decisions. The everything in nature and society has its negative, the negation of negation has significant meaning.
Xiaozhuan Gao, Yong Deng
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Negation of Basic Probability Assignment: Trends of Dissimilarity and Dispersion [PDF]
IEEE Access, 2019 In the field of knowledge representation, negation has been introduced so that practical issues can be modelled more effectively. The negation of probability was first formally determined by Zadeh, with its basic properties proposed by Yager.
Dawei Xie, Fuyuan Xiao
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A Generalized Expression for Information Quality of Basic Probability Assignment
IEEE Access, 2019 The information quality is widely used in many applications. However, the existing information quality can only deal with the probability distribution. Compared with probability distribution, the basic probability assignment (BPA) in evidence theory is ...
Dingbin Li, Xiaozhuan Gao, Yong Deng
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A Basic Probability Assignment Methodology for Unsupervised Wireless Intrusion Detection
IEEE Access, 2018 The broadcast nature of wireless local area networks has made them prone to several types of wireless injection attacks, such as Man-in-the-Middle (MitM) at the physical layer, deauthentication, and rogue access point attacks. The implementation of novel
Ibrahim Ghafir +5 more
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International Journal of Distributed Sensor Networks, 2019 Due to its efficiency to handle uncertain information, Dempster–Shafer evidence theory has become the most important tool in many information fusion systems.
Bowen Qin, Fuyuan Xiao
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Entropy, 2021 In the framework of evidence theory, one of the open and crucial issues is how to determine the basic probability assignment (BPA), which is directly related to whether the decision result is correct.
Wei Fu, Shuang Yu, Xin Wang
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Dempster-Shafer's Basic Probability Assignment Based on Fuzzy Membership Functions
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 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.
Abdel-Ouahab Boudraa +2 more
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International Journal of Distributed Sensor Networks, 2019 Multi-sensor information fusion occurs in a vast variety of applications, including medical diagnosis, automatic drive, speech recognition, and so on. Often these problems can be modeled by Dempster–Shafer theory.
Liguo Fei +3 more
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A Method to Determine Basic Probability Assignment in Context Awareness of a Moving Object [PDF]
International Journal of Distributed Sensor Networks, 2013 Determining basic probability assignment (BPA) is essential in multisensor data fusion by using Fussy Theory or Dempster-Shafer Theory (DST). The study presented a method to determine BPA through sensor data only reported by sensors without depending on ...
Donghyok Suh, Juhye Yook
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