Das Sapan Kumar, Chakraborty Avishek
Department of Revenue, Ministry of Finance, Government of India, New Delhi, India.
Department of Basic Science, Narula Institute of Technology, Agarpara, Kolkata India.
Complex Intell Systems. 2021;7(1):101-110. doi: 10.1007/s40747-020-00181-0. Epub 2020 Jul 30.
In this paper, authors disclose a new concept of pentagonal neutrosophic (PN) approach to solve linear programming (LP) problem. To best of our insight, there is no approach for solving PNLP problem. For the first time, we take up the PNLP problem where the objectives, constraints are considered as pentagonal neutrosophic numbers (PNN). To deign our algorithm, we described the PN arithmetic operation laws and mathematical computation in PNN environment. This proposed method is based on ranking function and convert to its equivalent crisp LP (CrLP) problem. The obtained CrLP issue is presently being tackled by any LP method which is effectively accessible. To legitimize the proposed technique, some numerical tests are given to show the adequacy of the new model.
在本文中,作者揭示了一种用于解决线性规划(LP)问题的五边形中智(PN)方法的新概念。据我们所知,目前尚无解决五边形中智线性规划(PNLP)问题的方法。我们首次处理了将目标和约束视为五边形中智数(PNN)的PNLP问题。为了设计我们的算法,我们描述了PNN环境中的PN算术运算定律和数学计算。该方法基于排序函数,并将其转换为等效的清晰线性规划(CrLP)问题。目前,任何有效的LP方法都可以解决得到的CrLP问题。为了验证所提出的技术,给出了一些数值测试以证明新模型的有效性。