{"title":"Research of Air Combat Situation Assessment Method","authors":"L. Fu, Feihu Chang, Jin Xu, Yuandong Zhu","doi":"10.1109/ICDMA.2012.155","DOIUrl":null,"url":null,"abstract":"The correct combat situation assessment is the first premise in air combat decision. In this paper, the writer adopts non-parameter and parameter method to review air combat situation assessment technology. The air combat situation assessment of non-parameter method is mainly discussed in the following several aspects: superiority functions, analytic hierarchy process (AHP), fuzzy evaluate and neural network. And the parameter method of air combat situation assessment is narrated in the following two aspects: commonly used Bayesian network and d-s evidence. In the end of this paper the shortcomings of existing air combat situation assessment method and the development trend of air combat situation assessment method was pointed out.","PeriodicalId":393655,"journal":{"name":"International Conference on Digital Manufacturing and Automation","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Digital Manufacturing and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMA.2012.155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The correct combat situation assessment is the first premise in air combat decision. In this paper, the writer adopts non-parameter and parameter method to review air combat situation assessment technology. The air combat situation assessment of non-parameter method is mainly discussed in the following several aspects: superiority functions, analytic hierarchy process (AHP), fuzzy evaluate and neural network. And the parameter method of air combat situation assessment is narrated in the following two aspects: commonly used Bayesian network and d-s evidence. In the end of this paper the shortcomings of existing air combat situation assessment method and the development trend of air combat situation assessment method was pointed out.