Methods for describing different results obtained from different methods in accident reconstruction

Zou, Tiefang; He, Fenglin; Cai, Ming; Li, Yuelin

doi:10.1016/j.forsciint.2018.08.029

Cited by 9 publications

(9 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results obtained by FMCM and FSIT are completely consistent with the results shown in Ref. [27], which fully demonstrates that FMCM and FSIT are feasible and trustworthy. FMCM and FSIT can fuse interval, probabilistic and mixed uncertain results and they can work well no matter whether experts' opinions are obtained or not.…”

Section: Discussionsupporting

confidence: 89%

“…In order to make the final fused result stable, the sum of sample points of each uncertain result should be , where EO is a weighting coefficient vector. In regular cases, EO = 1/ s ; while in those major cases with experts’ opinions, EO is calculated from experts’ opinions shown in reference [ 27 ].…”

Section: The Fusing Methods Based On the Monte Carlo Methodsmentioning

confidence: 99%

“…where y i is the interval result and y j is the probabilistic result. Methods proposed in Zou's research [27] can be employed to tackle with Situation 1 if experts' opinions can be obtained. As for the other two situations, new methods need to be studied.…”

Section: Problems Descriptionmentioning

confidence: 99%

“…How to describe those different results obtained from different accident reconstruction methods becomes the next issue. According to some operators, Zou et al [27] has proposed two solutions recently, the first is to fuse different results into one result, while the other is to rank different results according to their credibility. The experts' opinions are necessary in these two solutions.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Methods for fusing uncertain results obtained from different models in accident reconstruction

Zou

2020

Forensic Sciences Research

Self Cite

View full text Add to dashboard Cite

Considering that almost all existing solutions of fusing different reconstructed results require experts' opinions and the issue of how to fuse probabilistic results and mixed results has not been discussed. Two solutions are proposed. The first is based on the Monte Carlo Method (FMCM), while the second is based on the Sub-Interval Technique (FSIT). The method based on FMCM generates sample points according to the distribution of each uncertain result firstly, and then gives out the cumulative distribution function of the final fused result by statistical analysis. The method based on FSIT gets the result fusion interval set according to lower and upper bounds of all interval results and a given length d of each sub-interval firstly, and then calculate the weighted matrix of the result fusion interval. As a result, the cumulative distribution function of the final fused result can also be given out by statistical analysis. Finally, three real accidents are given to demonstrate the methods of FMCM and FSIT, the results of which show that both work well in practice. ARTICLE HISTORY

show abstract

Section: Discussionsupporting

confidence: 89%

Section: The Fusing Methods Based On the Monte Carlo Methodsmentioning

confidence: 99%

Section: Problems Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Methods for fusing uncertain results obtained from different models in accident reconstruction

Zou

2020

Forensic Sciences Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…Many authors [38][39][40][41][42] have used the OWA operator since its introduction by Yager [14]. The OWA operator will provide us with a series of aggregation operators that are established between the minimum and the maximum.…”

Section: Owa Operatormentioning

confidence: 99%

Fuzzy Branch-and-Bound Algorithm with OWA Operators in the Case of Consumer Decision Making

et al. 2021

View full text Add to dashboard Cite

The ordered weighted averaging (OWA) operator is one of the most used techniques in the operator’s aggregation procedure. This paper proposes a new assignment algorithm by using the OWA operator and different extensions of it in the Branch-and-bound algorithm. The process is based on the use of the ordered weighted average distance operator (OWAD) and the induced OWAD operator (IOWAD). We present it as the Branch-and-bound algorithm with the OWAD operator (BBAOWAD) and the Branch-and-bound algorithm with the IOWAD operator (BBAIOWAD). The main advantage of this approach is that we can obtain more detailed information by obtaining a parameterized family of aggregation operators. The application of the new algorithm is developed in a consumer decision-making model in the city of Barcelona regarding the selection of groceries by districts that best suit their needs. We rely on the opinion of local commerce experts in the city. The key advantage of this approach is that we can consider different sources of information independent of each other.

show abstract

Road Accident Investigation

Alim,

Das,

Yadav

et al. 2023

Textbook of Forensic Science

View full text Add to dashboard Cite

Methods for describing different results obtained from different methods in accident reconstruction

Cited by 9 publications

References 43 publications

Methods for fusing uncertain results obtained from different models in accident reconstruction

Methods for fusing uncertain results obtained from different models in accident reconstruction

Fuzzy Branch-and-Bound Algorithm with OWA Operators in the Case of Consumer Decision Making

Road Accident Investigation

Contact Info

Product

Resources

About