To obtain accuracy and reliability, the multisensor is used to give multiple sources information. Thus, an algorithm to fuse the information from the ...

Abstract. Air target identification is an important issue in threat warn- ing, airline security and surveillance. To obtain accuracy and reliability,.

A knowledge-based approach and a reasoning system for multisensor data fusion is presented. The scenario taken for the example is an air-land battlefield ...

These data are combined to improve the confidence of aircraft-type declarations using both Bayesian and evidential reasoning–based algorithms. We use ...

[24] P. L. Bogler, “Shafer-dempster reasoning with applications to multisensor target ... Li, “Target recognition based on fuzzy dempster data fusion method,” ...

question; while the evidential reasoning is based upon a belief function (induced by a basic probability assignment) on the power set of possible answers to ...

The present study is interested in the use of multi-sensor data fusion to solve conflicting and imperfect data problems and in the automation of pairwise ...

May 30, 2023 · An improved evidence theory multi-sensor data fusion method is proposed in this article. First, the affiliation function in fuzzy set theory is introduced.

We also perform the target tracking and data correlationiassociation in this step. Datu ComhinationiFusion: Evidential reasoning is used for data fusion.

Apr 29, 2021 · An improved Dempster/Shafer (DS) evidence theory algorithm is designed to fuse heterogeneous multi-sensor information.