A New Approach for Solving Bi-Level Multi-Objective Non-Linear Programming Model under Neutrosophic Environment

Multi-level programming problems (MLPPs) are considered very large decentralized decision problems, occur in hierarchical decision-making organizations where a decision maker (DM) is present at each decision-making level and is assigned the task of optimizing one or more objective functions. In this...

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Main Authors: Azza H. Amer, Mahmoud A. Abo-Sinna
Format: Article
Language:English
Published: University of New Mexico 2021-12-01
Series:Neutrosophic Sets and Systems
Subjects:
Online Access:http://fs.unm.edu/NSS/LinearProgrammingModel15.pdf
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author Azza H. Amer
Mahmoud A. Abo-Sinna
author_facet Azza H. Amer
Mahmoud A. Abo-Sinna
author_sort Azza H. Amer
collection DOAJ
description Multi-level programming problems (MLPPs) are considered very large decentralized decision problems, occur in hierarchical decision-making organizations where a decision maker (DM) is present at each decision-making level and is assigned the task of optimizing one or more objective functions. In this paper, a new computational algorithm using neutrosophic technique to solve bi-level multi-objective non-linear programming (BL-MONLP) problem is presented. Neutrosophic set theory is played an important role for dealing the inaccuracy and complexity of data found in solving real life problems. We compared also the performance of the optimal solution between fuzzy and neutrosophic optimization techniques through numerical example which has demonstrated the evolved algorithm.
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spelling doaj.art-d91686cad02b499abc5c5d52a3eae6132022-12-22T03:25:56ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2021-12-014722423910.5281/zenodo.5775124A New Approach for Solving Bi-Level Multi-Objective Non-Linear Programming Model under Neutrosophic EnvironmentAzza H. AmerMahmoud A. Abo-SinnaMulti-level programming problems (MLPPs) are considered very large decentralized decision problems, occur in hierarchical decision-making organizations where a decision maker (DM) is present at each decision-making level and is assigned the task of optimizing one or more objective functions. In this paper, a new computational algorithm using neutrosophic technique to solve bi-level multi-objective non-linear programming (BL-MONLP) problem is presented. Neutrosophic set theory is played an important role for dealing the inaccuracy and complexity of data found in solving real life problems. We compared also the performance of the optimal solution between fuzzy and neutrosophic optimization techniques through numerical example which has demonstrated the evolved algorithm.http://fs.unm.edu/NSS/LinearProgrammingModel15.pdfmulti-level programming with multiple objectivesnon-linear programming problemsfuzzy programming; neutrosophtic setsatisfactory solution
spellingShingle Azza H. Amer
Mahmoud A. Abo-Sinna
A New Approach for Solving Bi-Level Multi-Objective Non-Linear Programming Model under Neutrosophic Environment
Neutrosophic Sets and Systems
multi-level programming with multiple objectives
non-linear programming problems
fuzzy programming; neutrosophtic set
satisfactory solution
title A New Approach for Solving Bi-Level Multi-Objective Non-Linear Programming Model under Neutrosophic Environment
title_full A New Approach for Solving Bi-Level Multi-Objective Non-Linear Programming Model under Neutrosophic Environment
title_fullStr A New Approach for Solving Bi-Level Multi-Objective Non-Linear Programming Model under Neutrosophic Environment
title_full_unstemmed A New Approach for Solving Bi-Level Multi-Objective Non-Linear Programming Model under Neutrosophic Environment
title_short A New Approach for Solving Bi-Level Multi-Objective Non-Linear Programming Model under Neutrosophic Environment
title_sort new approach for solving bi level multi objective non linear programming model under neutrosophic environment
topic multi-level programming with multiple objectives
non-linear programming problems
fuzzy programming; neutrosophtic set
satisfactory solution
url http://fs.unm.edu/NSS/LinearProgrammingModel15.pdf
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