{"title":"Neutrosophic MARCOS in Decision Making on Smart Manufacturing System","authors":"Nivetha Martin, Said Broumi, S.Sudha, R.Priya","doi":"10.61356/j.nswa.2023.14","DOIUrl":null,"url":null,"abstract":"Business firms prefer software-based smart manufacturing systems to monitor and supervise all production activities in a decentralized manner. The choice of software decides the degree of manufacturing robustness. This paper proposes a neutrosophic-based MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) method of MCDM with single-valued triangular neutrosophic numbers to solve the software selection problem. The proposed neutrosophic method is applied to hypothetical data to test the efficacy of the method. The results obtained using the proposed method are compared with crisp, fuzzy, and intuitionistic data representations, and suitable inferences are acquired. The proposed method has several industrial implications and it has several scope of applying to other decision-making scenarios with real data sets. \n \n ","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neutrosophic Systems with Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.61356/j.nswa.2023.14","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
Business firms prefer software-based smart manufacturing systems to monitor and supervise all production activities in a decentralized manner. The choice of software decides the degree of manufacturing robustness. This paper proposes a neutrosophic-based MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) method of MCDM with single-valued triangular neutrosophic numbers to solve the software selection problem. The proposed neutrosophic method is applied to hypothetical data to test the efficacy of the method. The results obtained using the proposed method are compared with crisp, fuzzy, and intuitionistic data representations, and suitable inferences are acquired. The proposed method has several industrial implications and it has several scope of applying to other decision-making scenarios with real data sets.
商业公司更喜欢基于软件的智能制造系统，以分散的方式监控和监督所有生产活动。软件的选择决定了制造稳健性的程度。针对软件选择问题，提出了一种基于单值三角中性数的MCDM的MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution)方法。将提出的嗜中性方法应用于假设数据，以检验该方法的有效性。将该方法与清晰、模糊、直观的数据表示方法进行了比较，得到了相应的推理结果。所提出的方法具有若干工业意义，并具有若干适用于具有真实数据集的其他决策场景的范围。
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