不同归一化方法对简单WISP方法结果的分析

IF 1.2 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
E. Zavadskas, D. Stanujkić, D. Karabašević, Zenonas Turskis
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引用次数: 1

摘要

标准WISP方法使用最大归一化程序。为了检验其鲁棒性,本文讨论了WISP方法与平方根和归一化过程的使用。为了检查所获得的结果的相似性,使用Python编程语言进行了几次分析,其中使用余弦相似性度量检查所获得结果的相似度。还检查了使用突出的MCDM方法获得的结果的相似性。所获得的结果证实了使用WISP方法获得的结果与使用所选MCDM方法获得的成果的显著相似性,即使在使用平方腐烂或求和归一化程序的情况下也是如此。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the Simple WISP Method Results Using Different Normalization Procedures
The standard WISP method uses the max normalization procedure. In order to check its robustness, the use of the WISP method with square root and sum normalization procedures is discussed in this article. In order to check the similarity of the obtained results, several analyzes were performed using the Python programming language, where the similarity of the obtained results was checked using the cosine similarity measure. The similarity was also checked concerning the results obtained using prominent MCDM methods. The achieved results confirm the significant similarity of the results obtained using the WISP method with the results obtained using the selected MCDM methods, even in the case of using square rot or sum normalization procedures.
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来源期刊
Studies in Informatics and Control
Studies in Informatics and Control AUTOMATION & CONTROL SYSTEMS-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
2.70
自引率
25.00%
发文量
34
审稿时长
>12 weeks
期刊介绍: Studies in Informatics and Control journal provides important perspectives on topics relevant to Information Technology, with an emphasis on useful applications in the most important areas of IT. This journal is aimed at advanced practitioners and researchers in the field of IT and welcomes original contributions from scholars and professionals worldwide. SIC is published both in print and online by the National Institute for R&D in Informatics, ICI Bucharest. Abstracts, full text and graphics of all articles in the online version of SIC are identical to the print version of the Journal.
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