{"title":"TOPSIS排名对数据归一化和目标权重的敏感性——以数字发展为例","authors":"Z. Bánhidi, Imre Dobos","doi":"10.1007/s10100-023-00876-y","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":9689,"journal":{"name":"Central European Journal of Operations Research","volume":" ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sensitivity of TOPSIS ranks to data normalization and objective weights on the example of digital development\",\"authors\":\"Z. Bánhidi, Imre Dobos\",\"doi\":\"10.1007/s10100-023-00876-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":9689,\"journal\":{\"name\":\"Central European Journal of Operations Research\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Central European Journal of Operations Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1007/s10100-023-00876-y\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"OPERATIONS RESEARCH & MANAGEMENT SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Central European Journal of Operations Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s10100-023-00876-y","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
期刊介绍:
The Central European Journal of Operations Research provides an international readership with high quality papers that cover the theory and practice of OR and the relationship of OR methods to modern quantitative economics and business administration.
The focus is on topics such as:
- finance and banking
- measuring productivity and efficiency in the public sector
- environmental and energy issues
- computational tools for strategic decision support
- production management and logistics
- planning and scheduling
The journal publishes theoretical papers as well as application-oriented contributions and practical case studies. Occasionally, special issues feature a particular area of OR or report on the results of scientific meetings.