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A novel method for solving the fully neutrosophic linear programming problems: Suggested modifications

机译:一种解决完全中使用性线性规划问题的新方法:建议修改

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Abdel-Basset et al. (Neural Computing and Applications, 2018, https://doi.org/10.1007/s00521-018-3404-6) proposed methods for solving different types of neutrosophic linear programming problems (NLPPs) (NLPPs in which some/all the parameters are represented as trapezoidal neutrosophic numbers (TrNNs)). Abdel-Basset et al. also pointed out that as a trapezoidal fuzzy number is a special case of trapezoidal neutrosophic number. Therefore, the fuzzy linear programming problems which can be solved by the existing methods (Ganesan andVeermani, Ann Oper Res, 2006, 143 : 305-315; Ebrahimnejad and Tavana, Appl Math Model, 2014, 38 : 4388-4395; Kumar et al., 2011, Appl Math Model, 35 : 817-823; Satti et al., Int J Decis Sci, 7 : 312-33) can also be solved by thier proposed method. In addition to that, to show the advantages of their proposed method over the existing methods (Ganesan and Veermani, Ann Oper Res, 2006, 143 : 305-315; Ebrahimnejad and Tavana, Appl Math Model, 2014, 38 : 4388-4395; Kumar et al., 2011, Appl Math Model, 35 : 817-823; Satti et al., Int J Decis Sci, 7 : 312-33), Abdel-Basset et al. solved the same fuzzy linear programming problems by their proposed method as well as the existing methods (Ganesan and Veermani, Ann Oper Res, 2006, 143 : 305-315; Ebrahimnejad and Tavana, Appl Math Model, 2014, 38 : 4388-4395; Kumar et al., 2011, Appl Math Model, 35 : 817-823; Satti et al., Int J Decis Sci, 7 : 312-33) and shown that the results, obtained on applying by their proposed method are better than the results, obtained on applying the existing methods (Ganesan and Veermani, Ann Oper Res, 2006, 143 : 305-315; Ebrahimnejad and Tavana, Appl Math Model, 2014, 38 : 4388-4395; Kumar et al., 2011, Appl Math Model, 35 : 817-823; Satti et al., Int J Decis Sci, 7 : 312-33). After a deep study of Abdel-Basset et al. 's method, it is observed that Abdel-Basset et al. have considered several mathematical incorrect assumptions in their proposed method and hence, it is scientifically incorrect to use Abdel-Basset et al. 's method in its present form. The aim of this paper is to make the researchers aware about the mathematical incorrect assumptions, considered by Abdel-Basset et al. in their proposed method, as well as to suggest the required modifications in Abdel-Basset et al. 's method.
机译:Abdel -Basset等人。 (神经计算和应用,2018,HTTPS://Doi.org/101007/S00521-018-3404-6)解决不同类型的中性学性线性规划问题的方法(NLPPS)(NLPPS其中一些/所有参数是其中的表示为梯形中性骨代胞(TRNNS))。 Abdel -Basset等人。还指出,作为梯形模糊数是梯形中性学数的特殊情况。因此,可以通过现有方法解决的模糊线性编程问题(Ganesan Andveermani,Ann Oper Res,2006,143:305-315; Ebrahimnejad和Tavana,Appl Math Model,2014,38:4388-4395; Kumar等。,2011,Appl Math Model,35:817-823; Satti等,int J Decis SCI,7:312-33)也可以通过提出的方法来解决。除此之外,还要展示其提出的方法对现有方法的优势(Ganesan和Veermani,Ann Oper Res,2006,143:305-315; Ebrahimnejad和Tavana,Appl Math Model,2014,38:4388-4395; Kumar等人,2011年,Appl Math Model,35:817-823; Satti等,int J Decis SCI,7:312-33),Abdel-Basset等。通过其提出的方法以及现有的方法(Ganesan和Veermani,Ann Oper Res,2006,143:305-315; Ebrahimnejad和Tavana,Appl Math Model,2014,38:4388-4395; Kumar等人,2011年,Appl Math Model,35:817-823; Satti等,int J Decis Sci,7:312-33)并显示结果,通过其所提出的方法施用获得的结果优于结果,在应用现有方法(Ganesan和Veermani,Ann Oper Res,2006,143:305-315; Ebrahimnejad和Tavana,Appl Math Model,2014,38:4388-4395; Kumar等,2011,Appl Math模型,35:817-823; Satti等,Int J Decis SCI,7:312-33)。经过深入研究ABDEL-BASSET等人。 “方法”,观察到ABDEL-BASSET等人。在其所提出的方法中考虑了几个数学不正确的假设,因此,使用ABDEL-BASSET等人进行科学不正确。在目前形式的方法。本文的目的是让研究人员了解Abdel -Basset等人考虑的数学不正确的假设。在其提出的方法中,以及建议ABDEL-BASSET等人的所需修改。的方法。

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