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Solving fully neutrosophic linear programming problem with application to stock portfolio selection

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Book Synopsis Solving fully neutrosophic linear programming problem with application to stock portfolio selection by : Hamiden Abd El-Wahed Khalifa

Download or read book Solving fully neutrosophic linear programming problem with application to stock portfolio selection written by Hamiden Abd El-Wahed Khalifa. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: Neutrosophic set is considered as a generalized of crisp set, fuzzy set, and intuitionistic fuzzy set for representing the uncertainty, inconsistency, and incomplete knowledge about the real world problems. In this paper, a neutrosophic linear programming (NLP) problem with single-valued trapezoidal neutrosophic numbers is formulated and solved. A new method based on the so-called score function to find the neutrosophic optimal solution of fully neutrosophic linear programming (FNLP) problem is proposed.

Solving fully neutrosophic linear programming problem with application to stock portfolio selection

Download Solving fully neutrosophic linear programming problem with application to stock portfolio selection PDF Online Free

Author :
Release :
Genre : Mathematics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Solving fully neutrosophic linear programming problem with application to stock portfolio selection by : Hamiden Abd El-Wahed Khalifa

Download or read book Solving fully neutrosophic linear programming problem with application to stock portfolio selection written by Hamiden Abd El-Wahed Khalifa. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: Neutrosophic set is considered as a generalized of crisp set, fuzzy set, and intuitionistic fuzzy set for representing the uncertainty, inconsistency, and incomplete knowledge about the real world problems. In this paper, a neutrosophic linear programming (NLP) problem with single-valued trapezoidal neutrosophic numbers is formulated and solved. A new method based on the so-called score function to find the neutrosophic optimal solution of fully neutrosophic linear programming (FNLP) problem is proposed.

A novel method for solving the fully neutrosophic linear programming problems

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Genre : Mathematics
Kind : eBook
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Book Synopsis A novel method for solving the fully neutrosophic linear programming problems by : Mohamed Abdel-Basset

Download or read book A novel method for solving the fully neutrosophic linear programming problems written by Mohamed Abdel-Basset. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: The most widely used technique for solving and optimizing a real-life problem is linear programming (LP), due to its simplicity and efficiency. However, in order to handle the impreciseness in the data, the neutrosophic set theory plays a vital role which makes a simulation of the decision-making process of humans by considering all aspects of decision (i.e., agree, not sure and disagree). By keeping the advantages of it, in the present work, we have introduced the neutrosophic LP models where their parameters are represented with a trapezoidal neutrosophic numbers and presented a technique for solving them. The presented approach has been illustrated with some numerical examples and shows their superiority with the state of the art by comparison. Finally, we conclude that proposed approach is simpler, efficient and capable of solving the LP models as compared to other methods.

A novel method for solving the fully neutrosophic linear programming problems

Download A novel method for solving the fully neutrosophic linear programming problems PDF Online Free

Author :
Release : 2018-02-24
Genre : Business & Economics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis A novel method for solving the fully neutrosophic linear programming problems by : Mohamed Abdel-Basset

Download or read book A novel method for solving the fully neutrosophic linear programming problems written by Mohamed Abdel-Basset. This book was released on 2018-02-24. Available in PDF, EPUB and Kindle. Book excerpt: The most widely used technique for solving and optimizing a real-life problem is linear programming (LP), due to its simplicity and efficiency. However, in order to handle the impreciseness in the data, the neutrosophic set theory plays a vital role which makes a simulation of the decision-making process of humans by considering all aspects of decision (i.e., agree, not sure and disagree). By keeping the advantages of it, in the present work, we have introduced the neutrosophic LP models where their parameters are represented with a trapezoidal neutrosophic numbers and presented a technique for solving them. The presented approach has been illustrated with some numerical examples and shows their superiority with the state of the art by comparison. Finally, we conclude that proposed approach is simpler, efficient and capable of solving the LP models as compared to other methods.

An Optimized Method for Solving Membership-based Neutrosophic Linear Programming Problems

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Release : 2023-01-01
Genre : Mathematics
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Book Synopsis An Optimized Method for Solving Membership-based Neutrosophic Linear Programming Problems by : Amirhossein Nafei

Download or read book An Optimized Method for Solving Membership-based Neutrosophic Linear Programming Problems written by Amirhossein Nafei. This book was released on 2023-01-01. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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