{"title":"Study of fuzzy time series model for situation prediction of air defense battles","authors":"Lei Wang, Qing-hua Xing","doi":"10.1109/ICCIAUTOM.2011.6184003","DOIUrl":null,"url":null,"abstract":"The situation prediction of air defense battles is a decision-making of complicated and random dynamic system. Therefore, the study on situation prediction method, which is suitable for air defense battles, has very great instructional meanings for battlefield conductor to make proper wartime decisions. In order to reduce the situation prediction error, the prediction method by using the fuzzy time series is applied to solve the problems of situation prediction of air defense battles with fuzzy information. And a simulation is given to evaluate the proposed method.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2011.6184003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The situation prediction of air defense battles is a decision-making of complicated and random dynamic system. Therefore, the study on situation prediction method, which is suitable for air defense battles, has very great instructional meanings for battlefield conductor to make proper wartime decisions. In order to reduce the situation prediction error, the prediction method by using the fuzzy time series is applied to solve the problems of situation prediction of air defense battles with fuzzy information. And a simulation is given to evaluate the proposed method.