统计归一化技术对性能排序结果的影响

IF 0.8 Q4 BUSINESS

International Journal of Business Analytics Pub Date : 2022-01-01 DOI:10.4018/ijban.298017

Nazlı Ersoy

{"title":"统计归一化技术对性能排序结果的影响","authors":"Nazlı Ersoy","doi":"10.4018/ijban.298017","DOIUrl":null,"url":null,"abstract":"In this study, the most suitable normalization techniques for the multi-criteria decision making (MCDM) method proposed by Biswas and Saha were compared and a real situation was analyzed. In the study, the financial performance of the top 10 companies on the FORTUNE 500 list for 2019 was evaluated using seven financial ratios and five well-known normalization techniques. The results have shown that the max normalization procedure generated the most consistent results for Biswas and Saha’s MCDM method. The study is the first to test the suitability of different normalization techniques for the MCDM method proposed by Biswas and Saha. Also, this paper provides decision support that can be used for the selection of the best normalization techniques for other MCDM methods.","PeriodicalId":42590,"journal":{"name":"International Journal of Business Analytics","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Influence of Statistical Normalization Techniques on Performance Ranking Results\",\"authors\":\"Nazlı Ersoy\",\"doi\":\"10.4018/ijban.298017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, the most suitable normalization techniques for the multi-criteria decision making (MCDM) method proposed by Biswas and Saha were compared and a real situation was analyzed. In the study, the financial performance of the top 10 companies on the FORTUNE 500 list for 2019 was evaluated using seven financial ratios and five well-known normalization techniques. The results have shown that the max normalization procedure generated the most consistent results for Biswas and Saha’s MCDM method. The study is the first to test the suitability of different normalization techniques for the MCDM method proposed by Biswas and Saha. Also, this paper provides decision support that can be used for the selection of the best normalization techniques for other MCDM methods.\",\"PeriodicalId\":42590,\"journal\":{\"name\":\"International Journal of Business Analytics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Business Analytics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijban.298017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Business Analytics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijban.298017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS","Score":null,"Total":0}

引用次数: 0

摘要

在本研究中，比较了Biswas和Saha提出的最适合多准则决策（MCDM）方法的归一化技术，并分析了实际情况。在这项研究中，使用七种财务比率和五种著名的归一化技术对《财富》500强榜单上排名前十的公司2019年的财务业绩进行了评估。结果表明，最大归一化过程为Biswas和Saha的MCDM方法产生了最一致的结果。该研究首次测试了Biswas和Saha提出的MCDM方法的不同归一化技术的适用性。此外，本文还提供了决策支持，可用于为其他MCDM方法选择最佳归一化技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The Influence of Statistical Normalization Techniques on Performance Ranking Results

In this study, the most suitable normalization techniques for the multi-criteria decision making (MCDM) method proposed by Biswas and Saha were compared and a real situation was analyzed. In the study, the financial performance of the top 10 companies on the FORTUNE 500 list for 2019 was evaluated using seven financial ratios and five well-known normalization techniques. The results have shown that the max normalization procedure generated the most consistent results for Biswas and Saha’s MCDM method. The study is the first to test the suitability of different normalization techniques for the MCDM method proposed by Biswas and Saha. Also, this paper provides decision support that can be used for the selection of the best normalization techniques for other MCDM methods.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

International Journal of Business Analytics BUSINESS-

CiteScore

2.30

自引率

27.30%

发文量

期刊介绍： The main objective of the International Journal of Business Analytics (IJBAN) is to advance the next frontier of decision sciences and provide an international forum for practitioners and researchers in business and governmental organizations—as well as information technology professionals, software developers, and vendors—to exchange, share, and present useful and innovative ideas and work. The journal encourages exploration of different models, methods, processes, and principles in profitable and actionable manners.