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

Hamiden Abd El-Wahed Khalifa ; Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt
Pavan Kumar ; School of Advanced Science and Languages, VIT Bhopal University Sehore, India

Puni tekst: engleski pdf 381 Kb

str. 165-176

preuzimanja: 439



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. This method is more flexible than the linear programming (LP) problem, where it allows the decision maker to choose the preference he is willing to take. A stock portfolio problem is introduced as an application. Also, a numerical example is given to illustrate the utility and practically of the method.

Ključne riječi

linear programming, neutrosophic programming, single-valued trapezoidal neutrosophic numbers, score function, stock profit

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Posjeta: 748 *