Modified solution for neutrosophic linear programming problems with mixed constraints

Neutrosophic Linear Programming (NLP) issues is presently extensive applications in science and engineering. The primary commitment right now to manage the NLP problem where the coefficients are neutrosophic triangular numbers with blended requirements. The current method [20] are viewed as just imb...

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Main Authors: S. K. Das, J. K. Dash
Format: Article
Language:English
Published: Ayandegan Institute of Higher Education, 2020-03-01
Series:International Journal of Research in Industrial Engineering
Subjects:
Online Access:http://www.riejournal.com/article_105887_7b95dc7f7c1ad5334987743742af9bbd.pdf
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author S. K. Das
J. K. Dash
author_facet S. K. Das
J. K. Dash
author_sort S. K. Das
collection DOAJ
description Neutrosophic Linear Programming (NLP) issues is presently extensive applications in science and engineering. The primary commitment right now to manage the NLP problem where the coefficients are neutrosophic triangular numbers with blended requirements. The current method [20] are viewed as just imbalance limitations. Notwithstanding, in our paper, we consider both blended requirements and utilize another score function to understand the strategy. To determine the progression of the current method, another strategy is proposed for tackling NLP issues. To check the better outcome, we execute various numerical models.
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spelling doaj.art-d856aef6f6034998a981d2cddd3a0ec72022-12-21T23:16:16ZengAyandegan Institute of Higher Education,International Journal of Research in Industrial Engineering2783-13372717-29372020-03-0191132410.22105/riej.2020.224198.1127105887Modified solution for neutrosophic linear programming problems with mixed constraintsS. K. Das0J. K. Dash1Department of Mathematics, National Institute of Technology Jamshedpur, India.Department of Computer Science and Engineering, SRM University-AP, Amravati, India.Neutrosophic Linear Programming (NLP) issues is presently extensive applications in science and engineering. The primary commitment right now to manage the NLP problem where the coefficients are neutrosophic triangular numbers with blended requirements. The current method [20] are viewed as just imbalance limitations. Notwithstanding, in our paper, we consider both blended requirements and utilize another score function to understand the strategy. To determine the progression of the current method, another strategy is proposed for tackling NLP issues. To check the better outcome, we execute various numerical models.http://www.riejournal.com/article_105887_7b95dc7f7c1ad5334987743742af9bbd.pdfneutrosophic linear programmingcrisp linear programmingtriangular neutrosophic numbersscore function
spellingShingle S. K. Das
J. K. Dash
Modified solution for neutrosophic linear programming problems with mixed constraints
International Journal of Research in Industrial Engineering
neutrosophic linear programming
crisp linear programming
triangular neutrosophic numbers
score function
title Modified solution for neutrosophic linear programming problems with mixed constraints
title_full Modified solution for neutrosophic linear programming problems with mixed constraints
title_fullStr Modified solution for neutrosophic linear programming problems with mixed constraints
title_full_unstemmed Modified solution for neutrosophic linear programming problems with mixed constraints
title_short Modified solution for neutrosophic linear programming problems with mixed constraints
title_sort modified solution for neutrosophic linear programming problems with mixed constraints
topic neutrosophic linear programming
crisp linear programming
triangular neutrosophic numbers
score function
url http://www.riejournal.com/article_105887_7b95dc7f7c1ad5334987743742af9bbd.pdf
work_keys_str_mv AT skdas modifiedsolutionforneutrosophiclinearprogrammingproblemswithmixedconstraints
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