{"title":"A Study on Online Resource Acquisition Decision for University Libraries under Mixed Information","authors":"Chen Ji, Lei Li","doi":"10.4108/eai.24-2-2023.2330698","DOIUrl":null,"url":null,"abstract":": [Objective/Significance] To promote the rational allocation of online resource procurement funds for university libraries and improve the efficiency and scientificity of online resource procurement. [Methodology/Process] Based on the influencing factors related to online resource procurement in university libraries, we established a decision-making index system for online resource procurement in university libraries, based on which, we introduced the concept of fuzzy number, proposed an extended TOPSIS multi-indicator decision-making model for fuzzy and accurate mixed information, and validated the model through empirical evidence. [Results/Conclusions] The results show that the research content of this paper has a positive effect on promoting the science of online resource procurement in university libraries and the high quality development of university library collection resources","PeriodicalId":388726,"journal":{"name":"Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/eai.24-2-2023.2330698","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
: [Objective/Significance] To promote the rational allocation of online resource procurement funds for university libraries and improve the efficiency and scientificity of online resource procurement. [Methodology/Process] Based on the influencing factors related to online resource procurement in university libraries, we established a decision-making index system for online resource procurement in university libraries, based on which, we introduced the concept of fuzzy number, proposed an extended TOPSIS multi-indicator decision-making model for fuzzy and accurate mixed information, and validated the model through empirical evidence. [Results/Conclusions] The results show that the research content of this paper has a positive effect on promoting the science of online resource procurement in university libraries and the high quality development of university library collection resources