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{"title":"A Novel Approach by using Interval-Valued Trapezoidal Neutrosophic Numbers in Transportation Problem","authors":"R. Saini, A. Sangal, Ashik Ahirwar","doi":"10.5281/zenodo.7135283","DOIUrl":null,"url":null,"abstract":"In today's scenario transportation problem [TP] is the prominent area of optimization. In the present paper, a TP in a neutrosophic environment, known as a neutrosophic transportation problem [NTP] is introduced with interval-valued trapezoidal neutrosophic numbers [IVTrNeNs]. To maintain physical distance among the industrialists and researchers during the covid-19 pandemic, the intervalvalued fuzzy numbers [IVFNs] in place of crisp numbers are very much essential to address the hesitation and uncertainty in real-life situations. IVTrNeN is the generalization of single-valued neutrosophic numbers [SVNeN], which are used as the cost, the demand, and the supply to transport the necessary equipment, medicines, food products, and other relevant items from one place to another to save the human lives in a covid-19 pandemic. A Neutrosophic set, which has uncertainty, inconsistency, and incompleteness information is the principle of crisp, fuzzy, and intuitionistic fuzzy sets. Here we suggest some numerical problems for better execution of the neutrosophic transportation problem [NTP], to understand the practical applications of interval-valued neutrosophic numbers [IVNeNs]. In the last, we compare our results and a conclusion is given in support of our proposed result methodology with IVTrNeNs. © 2022, Neutrosophic Sets and Systems. All Rights Reserved.","PeriodicalId":46897,"journal":{"name":"Neutrosophic Sets and Systems","volume":"51 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neutrosophic Sets and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/zenodo.7135283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
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用区间值梯形嗜中性数求解运输问题的新方法
在当今的场景中,运输问题[TP]是优化的突出领域。本文用区间值梯形嗜中性数[IVTrNeNs]引入嗜中性环境中的一个TP,即嗜中性运输问题[NTP]。在2019冠状病毒病大流行期间,为了保持实业家和研究人员之间的物理距离,用区间模糊数代替清晰数字,对于解决现实生活中的犹豫和不确定性至关重要。IVTrNeN是单值中性粒细胞数[SVNeN]的泛化,用于在covid-19大流行期间将必要的设备、药品、食品和其他相关物品从一个地方运输到另一个地方以拯救人类生命的成本、需求和供应。具有不确定性、不一致性和不完备信息的中性集是清晰、模糊和直觉模糊集的原理。在这里,我们提出了一些数值问题,以更好地执行中性粒细胞运输问题[NTP],以了解区间值中性粒细胞数[IVNeNs]的实际应用。最后,我们比较了我们的结果,并给出了一个结论,支持我们提出的结果方法与IVTrNeNs。©2022,Neutrosophic Sets and Systems。版权所有。
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