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Rearch on quantitative evaluation technology of equipment battlefield environment adaptability

Published: 19 January 2022 Publication History

Abstract

For the performance evaluation, environmental adaptability evaluation, system contribution rate evaluation and other evaluation activities in the equipment test process, the mathematical methods such as uncertainty quantification and Bayesian network are used to quickly build the evaluation index system and quantitative evaluation model related to the evaluation task, design the evaluation prototype, and support various evaluation activities in complex scenarios, Quantifying the impact of uncertain factors as much as possible can speed up the progress of evaluation activities and improve the credibility of evaluation results.

References

[1]
Research on uncertainty quantification method based on evidence theory and its application in reliability engineering, Bin Suo - Web page-2016
[2]
Research on uncertainty quantification method of approximate model based on Bayesian theory and Its Application, Qiangzhuang Yao- master's thesis of Huazhong University of science and technology-2015
[3]
Uncertainty analysis method of electronic equipment test data, Hongfa Ke ;zhekun Wang ; Lei Wang;Lei Zhou - Academic Exchange on integration and simulation technology of radar and ECM - 2010
[4]
esearch on requirements demonstration of IFF EW equipment based on Simulation – Hongkun Qiu ;Jianbo Yang ;Peng Liu - Journal of Equipment Command Technology College - 2011
[5]
Summary and application of design methods for effectiveness evaluation test of guided weapons,Weiqiang Wang ;Xiaohong Jia ;Dongsheng Yang ;Yumeng Han ;Kuisheng Fu - Aviation Water heater-2015

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      cover image ACM Other conferences
      AISS '21: Proceedings of the 3rd International Conference on Advanced Information Science and System
      November 2021
      526 pages
      ISBN:9781450385862
      DOI:10.1145/3503047
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 19 January 2022

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      Author Tags

      1. Environmental adaptability assessment
      2. Quantitative assessment
      3. Uncertainty quantification Introduction

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      AISS 2021

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      Overall Acceptance Rate 41 of 95 submissions, 43%

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