The most widely actions and decisions of the real-world tasks are frequently appeared as hierarchical systems. To deal with these systems, the multi-level programming problem presents the most flourished technique. However, practical situations involve some impreciseness regarding some decisions and performances. Neutrosophic sets provides a vital role by considering three independent degrees specifically truth membership degree, indeterminacy-membership degree, and falsity membership degree of any aspect of uncertain decision. By preserving the advantages of it, the presented study focuses on solving neutrosophic three-level linear programming problems, taking into account the problem coefficients as trapezoidal neutrosophic numbers. The n...
Neutrosophic set is a part of neutrosophy which studies the origin, nature, and scope of neutralitie...
Traditional linearl programming usually handles optimization problems involving deterministic object...
For modeling imprecise and indeterminate data for multi-objective decision making, two different met...
The most widely used actions taken and decisions made in real-world tasks frequently appear as hiera...
The most widely used actions taken and decisions made in real-world tasks frequently appear as hiera...
The most widely used technique for solving and optimizing a real-life problem is linear programming ...
The most widely used technique for solving and optimizing a real-life problem is linear programming ...
The most widely used technique for solving and optimizing a real-life problem is linear programming ...
Multi-level programming problems (MLPPs) are considered very large decentralized decision problems, ...
In the paper, we propose an alternative strategy for multi-level linear programming (MLP) problem wi...
Smarandache presented neutrosophic theory as a tool for handling undetermined information. Wang et a...
The most widely used technique for solving and optimizing a real-life problem is linear programming ...
The paper presents a novel strategy for solving bi-level linear programming problem based on goal pr...
The present paper investigates the neutrosophic linear programming (LP) models in line with their ad...
This paper proposes the framework of neutrosophic linear goal programming (NGP) approach for solving...
Neutrosophic set is a part of neutrosophy which studies the origin, nature, and scope of neutralitie...
Traditional linearl programming usually handles optimization problems involving deterministic object...
For modeling imprecise and indeterminate data for multi-objective decision making, two different met...
The most widely used actions taken and decisions made in real-world tasks frequently appear as hiera...
The most widely used actions taken and decisions made in real-world tasks frequently appear as hiera...
The most widely used technique for solving and optimizing a real-life problem is linear programming ...
The most widely used technique for solving and optimizing a real-life problem is linear programming ...
The most widely used technique for solving and optimizing a real-life problem is linear programming ...
Multi-level programming problems (MLPPs) are considered very large decentralized decision problems, ...
In the paper, we propose an alternative strategy for multi-level linear programming (MLP) problem wi...
Smarandache presented neutrosophic theory as a tool for handling undetermined information. Wang et a...
The most widely used technique for solving and optimizing a real-life problem is linear programming ...
The paper presents a novel strategy for solving bi-level linear programming problem based on goal pr...
The present paper investigates the neutrosophic linear programming (LP) models in line with their ad...
This paper proposes the framework of neutrosophic linear goal programming (NGP) approach for solving...
Neutrosophic set is a part of neutrosophy which studies the origin, nature, and scope of neutralitie...
Traditional linearl programming usually handles optimization problems involving deterministic object...
For modeling imprecise and indeterminate data for multi-objective decision making, two different met...