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Multi Level Linear Programming Problem With Neutrosophic Numbers A Goal Programming Strategy


Multi Level Linear Programming Problem With Neutrosophic Numbers A Goal Programming Strategy
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Multi Level Linear Programming Problem With Neutrosophic Numbers A Goal Programming Strategy


Multi Level Linear Programming Problem With Neutrosophic Numbers A Goal Programming Strategy
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Author : Surapati Pramanik
language : en
Publisher: Infinite Study
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Multi Level Linear Programming Problem With Neutrosophic Numbers A Goal Programming Strategy written by Surapati Pramanik and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


In the paper, we propose an alternative strategy for multi-level linear programming (MLP) problem with neutrosophic numbers through goal programming strategy. Multi-level linear programming problem consists of k levels where there is an upper level at the first level and multiple lower levels at the second level with one objective function at every level.



Bi Level Linear Programming Problem With Neutrosophic Numbers


Bi Level Linear Programming Problem With Neutrosophic Numbers
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Author : Surapati Pramanik
language : en
Publisher: Infinite Study
Release Date :

Bi Level Linear Programming Problem With Neutrosophic Numbers written by Surapati Pramanik and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


The paper presents a novel strategy for solving bi-level linear programming problem based on goal programming in neutrosophic numbers environment. Bi-level linear programming problem comprises of two levels namely upper or first level and lower or second level with one objective at each level. The objective function of each level decision maker and the system constraints are considered as linear functions with neutrosophic numbers of the form [p + q I], where p, q are real numbers and I represents indeterminacy.



Neutrosophic Number Goal Programming For Multi Objective Linear Programming Problem In Neutrosophic Number Environment


Neutrosophic Number Goal Programming For Multi Objective Linear Programming Problem In Neutrosophic Number Environment
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Author : Surapati Pramanik
language : en
Publisher: Infinite Study
Release Date :

Neutrosophic Number Goal Programming For Multi Objective Linear Programming Problem In Neutrosophic Number Environment written by Surapati Pramanik and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


The purpose of the paper is to propose goal programming strategy to multi-objective linear programming problem with neutrosophic numbers which we call NN-GP. The coefficients of objective functions and the constraints are considered as neutrosophic numbers of the form (m+nI), where m, n are real numbers and I denotes indeterminacy.



Neutrosophic Goal Programming Technique And Its Application


Neutrosophic Goal Programming Technique And Its Application
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Author : Samir Dey
language : en
Publisher: Infinite Study
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Neutrosophic Goal Programming Technique And Its Application written by Samir Dey and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


This paper develops a multi-objective Neutrosophic Goal Optimization technique for optimizing the design of truss structure with multiple objectives subject to a specified set of constraints. In this optimum design formulation, the objective functions are weight and the deflection; the design variables are the cross-sections of the bar; the constraints are the stress in member. The classical three bar truss structure is presented here in to demonstrate the efficiency of the neutrosophic goal programming approach. The model is numerically illustrated by Neutrosophic Goal Optimization technique with different aggregation method. The result shows that the Neutrosophic Goal Optimization technique is very efficient in finding the best optimal solutions.



Single Objective Linear Goal Programming Problem With Neutrosophic Numbers


Single Objective Linear Goal Programming Problem With Neutrosophic Numbers
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Author : Durga Banerjee
language : en
Publisher: Infinite Study
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Single Objective Linear Goal Programming Problem With Neutrosophic Numbers written by Durga Banerjee and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


This paper deals with single-objective linear goal programming problem with neutrosophic numbers. The coefficients of objective function and the constraints are considered as neutrosophic numbers of the form (p + qI), where p, q are real numbers and I denotes indeterminacy. In the solution process, the neutrosophic numbers are transformed into interval numbers.



An Optimized Method For Solving Membership Based Neutrosophic Linear Programming Problems


An Optimized Method For Solving Membership Based Neutrosophic Linear Programming Problems
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Author : Amirhossein Nafei
language : en
Publisher: Infinite Study
Release Date : 2023-01-01

An Optimized Method For Solving Membership Based Neutrosophic Linear Programming Problems written by Amirhossein Nafei and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Mathematics categories.


Linear Programming (LP) is an essential approach in mathematical programming because it is a viable technique used for addressing linear systems involving linear parameters and continuous constraints. The most important use of LP resides in solving the issues requiring resource management. Because many real-world issues are too complicated to be accurately characterized, indeterminacy is often present in every engineering planning process. Neutrosophic logic, which is an application of intuitionistic fuzzy sets, is a useful logic for dealing with indeterminacy. Neutrosophic Linear Programming (NLP) issues are essential in neutrosophic modelling because they may express uncertainty in the physical universe. Numerous techniques have been proposed to alleviate NLP difficulties. On the surface, the current approaches in the specialized literature are unable to tackle issues with non-deterministic variables. In other words, no method for solving a truly neutrosophic problem has been offered. For the first time, a unique approach is provided for tackling Fully Neutrosophic Linear Programming (FNLP) problems in this study. The proposed study uses a decomposition method to break the FNLP problem into three separate bounded problems. Then, these problems are solved using simplex techniques. Unlike other existing methods, the proposed method can solve NLP problems with neutrosophic values for variables. In this research, the decision-makers have the freedom to consider the variables with neutrosophic structure, while obtaining the optimal objective value as a crisp number. It should also be noted that the typical NLP problems, which can be solved by means of the existing methods, can also be solved through the method proposed in this paper.



Neutrosophic Sets And Systems Vol 29 2019


Neutrosophic Sets And Systems Vol 29 2019
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Author : Florentin Smarandache
language : en
Publisher: Infinite Study
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Neutrosophic Sets And Systems Vol 29 2019 written by Florentin Smarandache and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as the neutrosophic structures developed in algebra, geometry, topology, etc.



Neutrosophic Linear Programming Problems


Neutrosophic Linear Programming Problems
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Author : Abdel-Nasser Hussian
language : en
Publisher: Infinite Study
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Neutrosophic Linear Programming Problems written by Abdel-Nasser Hussian and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


Smarandache presented neutrosophic theory as a tool for handling undetermined information. Wang et al. introduced a single valued neutrosophic set that is a special neutrosophic sets and can be used expediently to deal with real-world problems, especially in decision support.



Neutrosophic Linear Fractional Programming Problem


Neutrosophic Linear Fractional Programming Problem
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Author : Mai Mohamed
language : en
Publisher: Infinite Study
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Neutrosophic Linear Fractional Programming Problem written by Mai Mohamed and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


In this paper, a solution procedure is proposed to solve neutrosophic linear Fractional Programming Problem.



A New Method For Solving Interval Neutrosophic Linear Programming Problems


A New Method For Solving Interval Neutrosophic Linear Programming Problems
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Author : Amirhossein Nafei
language : en
Publisher: Infinite Study
Release Date :

A New Method For Solving Interval Neutrosophic Linear Programming Problems written by Amirhossein Nafei and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


Neutrosophic set theory is a generalization of the intuitionistic fuzzy set which can be considered as a powerful tool to express the indeterminacy and inconsistent information that exist commonly in engineering applications and real meaningful science activities. In this paper an interval neutrosophic linear programming (INLP) model will be presented, where its parameters are represented by triangular interval neutrosophic numbers (TINNs) and call it INLP problem. Afterward, by using a ranking function we present a technique to convert the INLP problem into a crisp model and then solve it by standard methods.