{"title":"具有不确定目标函数系数的线性规划问题的鲁棒最优性分析:一种外部逼近方法","authors":"Zhenzhong Gao, M. Inuiguchi","doi":"10.14736/kyb-2023-1-0064","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49928,"journal":{"name":"Kybernetika","volume":"127 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust optimality analysis for linear programming problems with uncertain objective function coefficients: an outer approximation approach\",\"authors\":\"Zhenzhong Gao, M. Inuiguchi\",\"doi\":\"10.14736/kyb-2023-1-0064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":49928,\"journal\":{\"name\":\"Kybernetika\",\"volume\":\"127 1\",\"pages\":\"\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2023-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Kybernetika\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.14736/kyb-2023-1-0064\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kybernetika","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.14736/kyb-2023-1-0064","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
期刊介绍:
Kybernetika is the bi-monthly international journal dedicated for rapid publication of high-quality, peer-reviewed research articles in fields covered by its title. The journal is published by Nakladatelství Academia, Centre of Administration and Operations of the Czech Academy of Sciences for the Institute of Information Theory and Automation of The Czech Academy of Sciences.
Kybernetika traditionally publishes research results in the fields of Control Sciences, Information Sciences, Statistical Decision Making, Applied Probability Theory, Random Processes, Operations Research, Fuzziness and Uncertainty Theories, as well as in the topics closely related to the above fields.