A novel lexicographical-based method for trapezoidal neutrosophic linear programming problem

Autor:	Sapan Kumar Das, S. A. Edalatpanah, Jatindra Kumar Dash
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	neutrosophic trapezoidal numbers lexicographic method linear programming multi-objective linear programming Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Neutrosophic Sets and Systems, Vol 46, Pp 151-179 (2021)
Druh dokumentu:	article
ISSN:	2331-6055 2331-608X
DOI:	10.5281/zenodo.5553506
Popis:	The aim of this paper is to introduce a simplified presentation of a new computing procedure for solving trapezoidal neutrosophic linear programming (TrNLP) problem under uncertainties. Therefore, we firstly define the concept of single valued neutrosophic (SVN) numbers and ranking functions. A new strategy is planned for solving the NLP problem without any ranking function. The planned strategy is depends on multi-objective LP (MOLP) issue and lexicographic order (LO). By following the means of planned strategy, the problem is changed into crisp LP (CLP) problem. In addition to this, a theoretical analysis is provided. Numerical examples are illustrated the proposed method and the consequences are in contrast with the distinct choice methods. The outcome shows that the proposed technique defeats the deficiencies and constraints of the existing method.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/d219ef8791c1455b822ae132f9088b0d Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF