The First Belief Dominance: A New Approach in Evidence Theory for Comparing Basic Belief Assignments

2009 ◽  
pp. 272-283 ◽  
Author(s):  
Mohamed Ayman Boujelben ◽  
Yves De Smet ◽  
Ahmed Frikha ◽  
Habib Chabchoub
Keyword(s):  
Evidence Theory ◽  
Basic Belief ◽  
New Approach

Approach of Combination of Weighted Evidence Based on Evidential Closeness Degree and its Application

2012 ◽  
Vol 630 ◽  
pp. 377-382
Author(s):  
Zhuan Zhe Zhao ◽  
Min Ping Jia ◽  
Kang He ◽  
Hao Zhou ◽  
Yu Jie Ding
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Calculation Method ◽  
Evidence Theory ◽  
Weights Of Evidence ◽  
Evidence Based ◽  
Combination Rules ◽  
New Approach ◽  
Symptom Domains ◽  
Diagnosis Model

Since the information fusion based on Dempster-Shafer(D-S) evidence theory involves counter-intuitive behaviors when evidences highly conflict, a new approach of combination of weighted based on evidence closeness degree is proposed and applied in fault diagnosis．Firstly, the calculation method of evidence distance and evidential closeness degree as well as its revision are given according to the relevance and importance of various evidence sources; Then the closeness degree is normalized in order to obtain the weights of evidence sources. And the information fusion is realized with the base of weighted evidence theory. Finally, the approach is applied to fault diagnosis model of multi-evidences (multi-symptom domains or multi-sensors) in this paper. In the experiments, the proposed approach is compared with the existing combination rules and the results show that the reliability and accuracy of fault diagnosis are significantly improved and its uncertainty is decreased remarkably. The fusion problem given above is also solved effectively.

Fault Diagnosis of Engine Based on Improved Dempster-Shafer Information Fusion Method

2009 ◽  
Vol 16-19 ◽  
pp. 1310-1317
Author(s):  
Wei Zhou ◽  
Ying Ji Liu ◽  
Qing Fu Cao ◽  
Tian Xia Zhang
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Evidence Theory ◽  
Combination Method ◽  
New Combination ◽  
Fusion Technology ◽  
Combination Rule ◽  
Experiment Research ◽  
New Approach ◽  
Weight Value

In order to enhance the accuracy of engine fault diagnosis, information fusion technology was applied and a novel combination method is proposed based on D-S evidence theory. The evidence groups were classified by evidence conflict coefficient, the importance of each highly conflict evidence was calculated, and the credibility of each evidence was determined with a distance function of evidence bodies. Then the weight value of each evidence was revised with its importance and credibility respectively. Finally, the Dempster combination rule was used to realize the information fusion. The effectiveness of the new approach proposed was verified by theoretical analysis and experiment research results. Comparing with D-S evidence theory and the improved synthesis formula, the new combination method is more efficient in improving the accuracy and the certainty degree of engine fault diagnosis.

scholarly journals A New Real-Time Path Planning Method Based on the Belief Space

2013 ◽  
Vol 2013 ◽  
pp. 1-14
Author(s):  
Yu-xin Zhao ◽  
Xin-an Wu ◽  
Yan Ma
Keyword(s):  
Path Planning ◽  
Real Time ◽  
Basic Belief ◽  
Complex Environment ◽  
New Approach ◽  
Time Path ◽  
Local Path Planning ◽  
Simulation Results ◽  
Local Path ◽  
Belief Model

A new approach of real-time path planning based on belief space is proposed, which solves the problems of modeling the real-time detecting environment and optimizing in local path planning with the fusing factors. Initially, a double-safe-edges free space is defined for describing the sensor detecting characters, so as to transform the complex environment into some free areas, which can help the robots to reach any positions effectively and safely. Then, based on the uncertainty functions and the transferable belief model (TBM), the basic belief assignment (BBA) spaces of each factor are presented and fused in the path optimizing process. So an innovative approach for getting the optimized path has been realized with the fusing the BBA and the decision making by the probability distributing. Simulation results indicate that the new method is beneficial in terms of real-time local path planning.

Antiaircraft Gun Automatic Fusion Diagnosis Based on D-S Evidence Theory

2012 ◽  
Vol 241-244 ◽  
pp. 288-292
Author(s):  
Zhi Song Wang ◽  
Li Wei Tang ◽  
Wen Wen Yu ◽  
Jin Hua Cao
Keyword(s):  
Fault Diagnosis ◽  
Test Data ◽  
Evidence Theory ◽  
Basic Belief ◽  
Combination Rule ◽  
Fusion Model ◽  
Minkowski Distance ◽  
Model Based ◽  
Feature Parameters ◽  
Diagnosis Method

Antiaircraft gun automatic is irrotational machine, its motion presents characteristic of stage, so we proposed a fault diagnosis fusion model based on Dempster-Shafer (D-S) evidence theory. At first, feature parameters are extracted from test data of multi-sensor, then, we propose a revised Minkowski distance to create evidences. Finally, we fuse basic belief assignments according to Dempster combination rule, and the analysis result verifies the effectiveness and feasibility of proposed fault diagnosis method.

A new approach of obstacle fusion detection for unmanned surface vehicle using Dempster-Shafer evidence theory

2022 ◽  
Vol 119 ◽  
pp. 103016
Author(s):  
Deqing Liu ◽  
Jie Zhang ◽  
Jiucai Jin ◽  
Yongshou Dai ◽  
Ligang Li
Keyword(s):  
Evidence Theory ◽  
Unmanned Surface Vehicle ◽  
New Approach ◽  
Fusion Detection

Reliability Assessment Using Fuzzy Evidence Theory

2012 ◽  
Vol 220-223 ◽  
pp. 2165-2168
Author(s):  
Xing Yuan Zhang ◽  
Hai Rong Xu ◽  
Da Min Cao ◽  
Sheng Bin Hu
Keyword(s):  
Fuzzy Sets ◽  
Fuzzy Theory ◽  
Evidence Theory ◽  
Reliability Assessment ◽  
Assessment Process ◽  
New Approach ◽  
Inclusion Degree ◽  
Finite Set ◽  
Aircraft System ◽  
Theory Of Evidence

Aiming at many uncertain factors in the reliability assessment of aircraft, a new approach to reliability assessment combining D-S theory of evidence and fuzzy theory was discussed. The concepts of inclusion degree and intersection degree of fuzzy sets were redefined, and fuzzy evidence theory was extended to the circumstance when the framework of discrimination is a continuous and in finite set. Finally, the practical assessment process was given in an illustrative example of aircraft system. The results show that the method is effective and reliable.

Sign in / Sign up

Export Citation Format

Share Document