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A Defect in Dempster-Shafer Theory [chapter]

Pei Wang
1994 Uncertainty Proceedings 1994  
Dempster-Shafer theory.  ...  A new approach for uncertainty management is introduced, which shares many i n tuitive ideas with D-S theory, while avoiding this problem.  ...  A previous version of the paper was presented in the Tenth Conference o n U n c ertainty in Arti cial Intelligence, Seattle, Washington, July 1994.  ... 
doi:10.1016/b978-1-55860-332-5.50076-6 fatcat:xik7o3ig3vdkra4tr35b7mojaa

A Defect in Dempster-Shafer Theory [article]

Pei Wang
2013 arXiv   pre-print
Dempster-Shafer theory.  ...  We introduce a new approach for uncertainty management that shares many intuitive ideas with D-S theory, while avoiding this problem.  ...  This work is supported by a research ass istantship from Center for Research on Concepts and Cognition, Indiana University. Thanks to Angela Allen for polishing my En glish.  ... 
arXiv:1302.6849v1 fatcat:a65wnehxrrdnjflyuysft5ihka

Information fusion with dempster-shafer evidence theory for software defect prediction

Aytunç Paksoy, Mehmet Göktürk
2011 Procedia Computer Science  
Finding defects in software is a challenging and time and budget consuming task.  ...  Software Defect Prediction, Dempster-Shafer Evidence Theory, Information Fusion, Software Engineering * Aytunç Paksoy. Tel.: +90 262 605 223; Fax: +90 262 605 2205.  ...  Theory is also used for software defect prediction by Lan Guo et al. [4] . In their research, they built Dempster-Shafer Network that is basically a directed graph network.  ... 
doi:10.1016/j.procs.2010.12.100 fatcat:3epvql7szba7tdy6us4gmdu7hy

The improvement of uncertainty measurements accuracy in sensor networks based on fuzzy dempster-shafer theory

Ehsan Azimirad, Seyyed Reza Movahhed Ghodsinya
2020 IJAIN (International Journal of Advances in Intelligent Informatics)  
In this paper, a model-based uncertainty is presented in the air defense system based on the Fuzzy Dempster-Shafer Theory to measure uncertainty and its accuracy.  ...  In literature, there are some theories that state and model uncertainty in the information. One of the new methods is the Fuzzy Dempster-Shafer Theory.  ...  In this paper, a modelbased uncertainty is presented in the air defense system based on the Fuzzy Dempster-Shafer Theory to measure uncertainty and its accuracy.  ... 
doi:10.26555/ijain.v6i2.461 fatcat:jujyj6ya7fh7jlhb2d4s5rapze

Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion

Bengisu Yilmaz, Abdoulaye Ba, Elena Jasiuniene, Huu-Kien Bui, Gérard Berthiau
2020 Sensors  
The obtained feature matrices have been used as the source in basic (average, difference, weighted average, Hadamard product) and statistical (DempsterShafer rule of combination) data fusion algorithms  ...  The defect detection performances of advanced nondestructive testing techniques, in addition to data fusion algorithms have been evaluated quantitatively by receiver operating characteristics.  ...  fusion for defect placement, (i) Dempster-Shafer fusion for no defect positions, and (j) Dempster-Shafer fusion where doubt is high.  ... 
doi:10.3390/s20185127 pmid:32911870 pmcid:PMC7571004 fatcat:rognr7ifzrexlgfyx5imytozni

Water quality monitoring method based on data fusion technology

Chunjiang Liu, Changlu Qiao
2017 Modelling Measurement and Control C  
In order to effectively monitor water quality, this paper proposes a data fusion method based on Dempster-Shafer evidence theory to detect pollutants in water.  ...  The final water quality monitoring decisions are made by fusing various types of water quality indexes using the Dempster-Shafer evidence theory.  ...  This paper introduces the Dempster-Shafer evidence theory in water pollutants detection.  ... 
doi:10.18280/mmc_c.780105 fatcat:7qdr4iny7rh4rkkkldzj2kesvu

Measuring mutual aggregate uncertainty in evidence theory

Asghar Shahpari, Seyed Alireza Seyedin
2014 7'th International Symposium on Telecommunications (IST'2014)  
But no similar measures have been introduced to calculate the mutual uncertainty between two variables in Dempster-Shafer theory.  ...  A threat assessment problem constructed by Dempster-Shafer network is used for testing these mutual measures.  ...  In this paper the VBS based on Dempster-Shafer theory called evidential networks or Dempster-Shafer networks are used. A.  ... 
doi:10.1109/istel.2014.7000662 fatcat:yypsuzysb5dxhcbar4ghsn76pq

Prediction of Karst Suitable Area Using Fuzzy AHP Method and Dempster–Shafer Theory

M. Mokarram, P. Mohammadizadeh
2021 Earth and Space Science  
A further study by Denizman (2003) also used GIS to determine morphometric parameters for karst surface features in Florida.  ...  In Iran, approximately 11% of the total surface area of the country and about 90% of the Zagros heights encompass karstic regions, which highlights the importance of studying karstic regions in arid and  ...  predicting karst areas is the DST (Dempster-Shafer theory) method.  ... 
doi:10.1029/2019ea000719 fatcat:elck3av2mbbpzcdkvwt6zw6pye

A Data Fusion-Based Fire Detection System

Ying-Yao TING, Chi-Wei HSIAO, Huan-Sheng WANG
2018 IEICE transactions on information and systems  
To prevent constraints or defects of a single sensor from malfunctions, this paper proposes a fire detection system based on the Dempster-Shafer theory with multi-sensor technology.  ...  Within the system, the Raspberry Pi is used to determine the probability of fire events using the Dempster-Shafer theory.  ...  The Dempster-Shafer evidence theory was proposed by Arthur P. Dempster in 1967. Afterwards, Glenn Shafer finished the supplement to the theory.  ... 
doi:10.1587/transinf.2016iip0005 fatcat:357fd4acxfdwdkawx74oymczcu

Multisensor Data Fusion in Testability Evaluation of Equipment

Peng Di, Xuan Wang, Tong Chen, Bin Hu, Filippo Cacace
2020 Mathematical Problems in Engineering  
Due to the flexibility and effectiveness of DempsterShafer evidence theory in modeling and processing uncertain information, this theory has been widely used in various fields of multisensor data fusion  ...  First, a novel multisensor data fusion method, based on the improvement of DempsterShafer evidence theory via the Lance distance and the belief entropy, is proposed.  ...  to improve the Dempster-Shafer evidence theory.  ... 
doi:10.1155/2020/7821070 fatcat:epxmryy2s5buhjsio6hcaita5m

証拠推論の効率的計算法(一般講演,ライフサイエンスとソフトンピューティング)
Efficient Computation of Evidential Reasoning

Kousuke Maruo, Junzo Watada
2002 Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association  
The considered set of hypothesis must be mutual exclusive and er(haustive in the Dempster-Shafer theory.  ...  In order to overcome this diMculty, we also propose the improved method in terms of logical relations of the events in the fault tree, KeyworTts: Evidential reasoning, Dempster-Shafer theory, Hierarchical  ...  In this paper we define state patterns in order to apply DernstereShafer theory to a fault tree with a logical structure of AND and OR gates, and propose two approaches based on state patterns, 2.Dempster-Shafer  ... 
doi:10.24466/pacbfsa.15.0_83 fatcat:an4ud2bz3nd2thxcyzak7efpey

Sensor fusion in Robot localization using DS-Evidence Theory with conflict detection using Mahalanobis distance

Sadegh Soleimanpour, Saeed Shiry Ghidary, Kourosh Meshgi
2008 2008 7th IEEE International Conference on Cybernetic Intelligent Systems  
Using Dempster-Shafer Evidence Theory, we show how to combine sensory information by Yager Combination rule.  ...  This article contains a new approach for combining sensory information for sensors with compatible information.  ...  This task is done by Dempster-Shafer Evidence Theory.  ... 
doi:10.1109/ukricis.2008.4798964 fatcat:brr5frwsn5bflaoranggaxgzuq

Risk Assessment of Gas Leakage from School Laboratories Based on the Bayesian Network

Zhang, Hu, Bai, Wu
2020 International Journal of Environmental Research and Public Health  
In this study, a comprehensive model based on the Bayesian network is established for the assessment of the gas leaks evolution process and consequences in school laboratories.  ...  Since the probability distribution of each node is obtained based on the experience of experts, there is a deviation in the quantitative calculation of the probability of gas leakage and consequences,  ...  Dempster-Shafer Theory The Dempster-Shafer evidence theory was proposed by Dempster and developed by Deutsch, Yager, and Liu [35, 36] as an imprecise reasoning theory, which has been widely used to deal  ... 
doi:10.3390/ijerph17020426 pmid:31936352 pmcid:PMC7014332 fatcat:w3su4r5dxnez7kcj4ksty6tfgu

Vibration-Based Condition Monitoring By Ensemble Deep Learning [article]

Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Keremans
2021 arXiv   pre-print
The fusion is then carried out by improved Dempster-Shafer theory.  ...  However, this can be achieved at the expense of challenges in designing the architecture of a deep learner, tuning its hyper-parameters. Moreover, it sometimes gives low generalization capability.  ...  Software, Belgium) and funded by SIM (Strategic Initiative Materials in Flanders) and VLAIO (Flemish government agency Flanders Innovation & Entrepreneurship).  ... 
arXiv:2110.06601v1 fatcat:3rslxz55nvchlogqld4duxlwxy

A framework of collaborative change detection with multiple operators and multi-source remote sensing images

Xi Chen, Jing Li, Yunfei Zhang, Liangliang Tao, Wei Shen
2016 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
By making use of complementary and redundant information in the images, the framework can solve the problems of information loss, imprecision, inconformity or conflict in multi-source data.  ...  This paper proposes a framework of change detection with multi-source remote sensing images through collaboration of multiple operators.  ...  The mathematical theory of evidence that introduced by Dempster and Shafer (Dempster-Shafer evidence theory) can combine evidences with imprecision or uncertainty to obtain a final decision [5] .  ... 
doi:10.1109/igarss.2016.7730347 dblp:conf/igarss/ChenLZTS16 fatcat:33c7bhna4jg5jmmz5xtk4pvt2a
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