Yet Another Paradigm Illustrating Evidence Fusion (YAPIEF)

Sudano, J.J.; Martin, Laura

doi:10.1109/icif.2006.301783

Cited by 19 publications

(15 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In order to obtain better evaluation result, (Θ) need to be assigned to each evaluation grade, which requires transformation of decisionmaking probability. At present, there are a lot of transformation methods of decision-making probability [24][25][26][27][28][29][30][31][32][33][34], and these methods have certain advantages as well as some drawbacks. Based on the existing methods, for the sake of improving the shortcomings of Daniel's proportion transformation methods, this paper proposes a transformation method of decision-making probability based on the certainty degree.…”

Section: Constructing the Bpamentioning

confidence: 99%

An Evaluation Method of Underwater Ocean Environment Safety Situation Based on D-S Evidence Theory

Zhao

Jia

Liu

2015

Advances in Meteorology

View full text Add to dashboard Cite

Because of complex ocean environment, underwater vehicles are facing many challenges in navigation safety and precise navigation. Aiming at the requirements of underwater navigation safety, this paper presents an evaluation method of underwater ocean environment safety situation based on Dempster-Shafer (D-S) evidence theory. Firstly, the vital ocean environment factors which affect the underwater navigation safety are taken into account, and a novel basic probability assignment (BPA) construction method of ocean environment factors is proposed according to their characteristics. Then, a new transformation method of BPA to decision-making probability is put forward to deal with the uncertainty degree. Furthermore, the super-standard weight is applied to preprocess the BPA, and D-S combination rule is used to acquire the evaluation result by fusing the preprocessed BPA. Ocean environment safety situation index is obtained by quantizing the evaluation grades. Finally, experimental results show that the method proposed has the superior practicability and reliability in actual applications.

show abstract

Section: Constructing the Bpamentioning

confidence: 99%

An Evaluation Method of Underwater Ocean Environment Safety Situation Based on D-S Evidence Theory

Zhao

Jia

Liu

2015

Advances in Meteorology

View full text Add to dashboard Cite

show abstract

“…Besides the commonly employed decision measurements, several others are proposed in the literature, such as Sudano's [48], Cuzzolin's [49] or the Dezert Smarandache probabilities [50]. All of them consist in the transformation of bbms into probabilities to make a decision.…”

Section: Decision Makingmentioning

confidence: 99%

Fusing navigation and vision information with the Transferable Belief Model: Application to an intelligent speed limit assistant

Daniel

Lauffenburger

2014

Information Fusion

View full text Add to dashboard Cite

The present paper focuses on the fusion, based on imprecise and uncertain information, between a Geographic Information System (GIS) and a Speed Limit Sign Recognition System (SLSRS), performed on camera images. This study is dedicated to the development of a Speed Limit Assistant (SLA) in the context of vehicle driving aid. The proposed SLA is developed within the Evidence Theory framework. The information from the sources is interpreted as belief functions using a non antagonistic bba in the Transferable Belief Model (TBM) semantics. This bba ensures that the conflict which could appear after the global fusion is exclusively due to source discordances. The present paper proposes a way to manage these discordances by formalizing a conflictrelated constraint decision rule. As far as the application is concerned, a two-level (decentralized) fusion architecture is developed. The sensor relevancy is estimated in a first step, followed by the GIS intra-sensor fusion with a maximum of Credibility decision which determines the context-compliant speed candidate considering the road information given by the digital map. This allows the detection of possible errors of the GIS. The multi-sensor fusion then combines the GIS and SLSRS information considering that the sensors are independent and specialized in one speed, each. For the decision, two strategies are adopted. The first one considers the conflict as a threshold for the final speed selection, and so allows the SLA to stay undecided in case of highly conflicting situations. The second strategy employs the 5 th version of the Proportional Conflict Redistribution operator. The SLA has been tested in simulation and in real-time experiments by qualitative and quantitative performance evaluations.

show abstract

“…This example is drawn from [15] Table VIII. One sees that DSmP ǫ→0 provides the same result as P rBel which corresponds here to the best result in term of PIC metric.…”

Section: A Example 6 (Shafer's Model and A Non-bayesian Mass)mentioning

confidence: 99%

“…Recently, Sudano has proposed interesting alternatives denoted P rP l, P rN P l, P raP l, P rBel and P rHyb to BetP , all defined in DST framework [15]. Sudano uses different kinds of mappings either proportional to the plausibility, to the normalized plausibility, to all plausibilities, to the belief or a hybrid mapping.…”

Section: Sudano's Probabilitiesmentioning

confidence: 99%

See 1 more Smart Citation

A New Probabilistic Transformation of Belief Mass Assignment

Dezert¹,

Smarandache

2016

SSRN Journal

View full text Add to dashboard Cite

Abstract-In this paper, we propose in Dezert-Smarandache Theory (DSmT) framework, a new probabilistic transformation, called DSmP, in order to build a subjective probability measure from any basic belief assignment defined on any model of the frame of discernment. Several examples are given to show how the DSmP transformation works and we compare it to main existing transformations proposed in the literature so far. We show the advantages of DSmP over classical transformations in term of Probabilistic Information Content (PIC). The direct extension of this transformation for dealing with qualitative belief assignments is also presented.

show abstract

Yet Another Paradigm Illustrating Evidence Fusion (YAPIEF)

Cited by 19 publications

References 4 publications

An Evaluation Method of Underwater Ocean Environment Safety Situation Based on D-S Evidence Theory

An Evaluation Method of Underwater Ocean Environment Safety Situation Based on D-S Evidence Theory

Fusing navigation and vision information with the Transferable Belief Model: Application to an intelligent speed limit assistant

A New Probabilistic Transformation of Belief Mass Assignment

Contact Info

Product

Resources

About