{"title":"Development of data normalization methods for multi-criteria decision making: applying for MARCOS method","authors":"D. Trung","doi":"10.1051/mfreview/2022019","DOIUrl":null,"url":null,"abstract":"The purpose of the data normalization is to transfer the quantities with different dimensions to the same dimensionless form. The multi-criteria decision-making (MCDM) methods that require identifying the weight for each criterion, so the data normalization should be performed. In this study, five distinct data normalization methods were used in combination with a multi-criteria decision-making method (MARCOS method). All five of these data normalization methods were performed in combining with the MARCOS method and applied in three different cases. The number of solutions and the criteria in each case were different. Two different weighting methods were also used in each situation. After defining the most suitable data normalization methods in combining with the MARCOS method, this study proposed two new data normalization methods. The results show that solution rank is likely stable. The works in the future were mentioned in the last section of this article as well.","PeriodicalId":51873,"journal":{"name":"Manufacturing Review","volume":"12 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Manufacturing Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1051/mfreview/2022019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 16
Abstract
The purpose of the data normalization is to transfer the quantities with different dimensions to the same dimensionless form. The multi-criteria decision-making (MCDM) methods that require identifying the weight for each criterion, so the data normalization should be performed. In this study, five distinct data normalization methods were used in combination with a multi-criteria decision-making method (MARCOS method). All five of these data normalization methods were performed in combining with the MARCOS method and applied in three different cases. The number of solutions and the criteria in each case were different. Two different weighting methods were also used in each situation. After defining the most suitable data normalization methods in combining with the MARCOS method, this study proposed two new data normalization methods. The results show that solution rank is likely stable. The works in the future were mentioned in the last section of this article as well.
期刊介绍:
The aim of the journal is to stimulate and record an international forum for disseminating knowledge on the advances, developments and applications of manufacturing engineering, technology and applied sciences with a focus on critical reviews of developments in manufacturing and emerging trends in this field. The journal intends to establish a specific focus on reviews of developments of key core topics and on the emerging technologies concerning manufacturing engineering, technology and applied sciences, the aim of which is to provide readers with rapid and easy access to definitive and authoritative knowledge and research-backed opinions on future developments. The scope includes, but is not limited to critical reviews and outstanding original research papers on the advances, developments and applications of: Materials for advanced manufacturing (Metals, Polymers, Glass, Ceramics, Composites, Nano-materials, etc.) and recycling, Material processing methods and technology (Machining, Forming/Shaping, Casting, Powder Metallurgy, Laser technology, Joining, etc.), Additive/rapid manufacturing methods and technology, Tooling and surface-engineering technology (fabrication, coating, heat treatment, etc.), Micro-manufacturing methods and technology, Nano-manufacturing methods and technology, Advanced metrology, instrumentation, quality assurance, testing and inspection, Mechatronics for manufacturing automation, Manufacturing machinery and manufacturing systems, Process chain integration and manufacturing platforms, Sustainable manufacturing and Life-cycle analysis, Industry case studies involving applications of the state-of-the-art manufacturing methods, technology and systems. Content will include invited reviews, original research articles, and invited special topic contributions.