Dempster-Shafer combination rule
A New Similarity Measure for Combining Conflicting Evidences
... where Dempster-Shafer combination rule failed in human in- tuitional logic and ...tion rule fails to deal with the conflicting ...propose combination rules in the theory of ...
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Dempster–Shafer fusion of multisensor signals in nonstationary Markovian context
... of Dempster – Shafer theory of evidence within Markov models has brought some keys to several challenging difficulties that the conventional hidden Markov models cannot ...the Dempster – ...
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Novel self interference suppression schemes based on Dempster Shafer theory with network coding in two way full duplex MIMO relay
... the Dempster-Shafer (DS) evidence theory are proposed to suppress SI in the two-way full-duplex MIMO ...DS combination rule to obtain reliable ...mapping rule with the DS theory to ...
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New Safety Evaluation Model of Coal Mine Roof based on Multi-sensor Fusion in case of Information Confliction
... on Dempster-Shafer evidence fusion theory , After normalizing the various sensor data, the model can acquire the basic probability assignment of the system judging the security situation of the roof, and ...
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Dempster Shafer Theory Based Uncertainty Quantification in Air Traffic Management
... The Rule of Combination of Evidences: The Dempster Shafer‟s Rule of combination is just like a fusion operator which derives commonly shared beliefs from heterogeneous ...The ...
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Intrusion Determent using Dempster-Shafer Theory in MANET Routing
... Dempster’s rule of combination with a notion of importance factors (IF) in D-S evidence model The chief characteristics and challenges of the MANETs [2] can be classified as follows: Cooperation: If the ...
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Comparison of Back Propagation Algorithms and Fusion Methodology Using Dempster Shafer Rule in Medical Application
... This rule is proposed by Dempster in mathematical theory of evidence, which is used to combine evidences obtained from two or more independent ...This rule is the agreement between multiple sources ...
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Collaborative Intrusion Detection in Federated Cloud Environments using Dempster-Shafer Theory of Evidence
... D-S theory is a probabilistic approach, which implements belief functions which are based on degrees of belief or trust. Probability values are assigned to sets of possibilities rather than single events [60]. In the ...
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A novel method for mapping village scale outdoor resting microhabitats of the primary African malaria vector, Anopheles gambiae
... 48 field sample sites (75 %) were randomly selected for in the creation of the D-S model (see Table 1). To cre- ate the D-S model, each parameter was entered into the Belief module in the IDRISI GIS software with an ...
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Data classification using the Dempster Shafer method
... the Dempster-Shafer method is employed as the theoretical basis for creating data classification ...by combination of these probabilities via Dempster’s Rule of ...for combination. In ...
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RISK-AWARE MITIGATION FOR MANET USING DEMPSTER ? SHAFER THEORY BY CONSIDERING PERFORMANCE MATRICS
... seamless combination of two properties with logical ...adopted Dempster-Shafer theory to measure the risk of attacks and ...Dempster’s rule treats evidences equally without differentiating ...
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Intrusion Response with Dempster Shafer theory of evidence to detect and overcome routing attack in Mobile Ad hoc Networks
... adopted Dempster-Shafer theory to calculate the risk of attacks and ...Dempster’s rule treats evidences uniformly without differentiating them from each ...Dempster’s rule of ...
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Information Retrieval using Dempster Shafer Theory
... using Dempster-Shafer theory also known as evidence theory is used in this ...Dempster’s rule of combination and the belief committed to the relevance is obtained which then ranked ...that ...
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Designing a Home Security System using Sensor Data Fusion with DST and DSMT Methods
... of Dempster-Shafer evidential theory and also the newer, more general one Dezert- Smarandache theory for implementing as a home security system and also using sensor data fusion have been ...
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Index Terms - Internet of Things, Data Fusion, Kalman Filter, Dempster – Shafer Theory.
... Data fusion is not a new concept and has been implemented in different domains like image processing for data extraction. There is a lot of research on IoT data fusion techniques which study the fusion of data in ...
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CHARACTER RECOGNITION USING DEMPSTER-SHAFER THEORY- COMBINING DIFFERENT DISTANCE MEASUREMENT METHODS
... The Dempster-Shafer theory is primarily based on the assumption that each of those multiple sources from which results have been obtained is independent of the ...
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Equipment Condition Monitoring and Diagnosis System Based on Evidence Weight
... 3.2 State Monitoring and Diagnosis Method Based on Evidence Weight The data acquisition, data processing, feature extraction, and neural network shown in Fig. 2 are mature. The focus of this study is the improvement of ...
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A fuzzy DEMATEL approach based on intuitionistic fuzzy information for evaluating knowledge transfer effectiveness in GSD projects
... The offshore/onsite teams’ effectiveness of knowledge transfer is significantly measured by a various kinds of factors. In this paper, we propose a Knowledge Transfer (KT) assessment framework which is integrates four ...
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Optimising resilience : at the edge of computability
... imprecision. Dempster-Shafer evidence theory [Dempster (1967), Shafer (1976)] characterises evidence with discrete probability masses, where Belief-Plausibility pairs are used to measure ...
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Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
... Abstract. The problem of uncertainty often becomes an obstacle, especially in terms of diagnosing the provision in this study. There is an algorithm that can solve this problem is Dempster-shafer (D-S), ...
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