What is it about?
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.
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Why is it important?
A new method based on the so-called score function to nd the neutrosophic optimal solution of fully neutrosophic linear programming (FNLP) problem is proposed. This method is more exible 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.
Perspectives
The advantages of the method for the investors are: the ability for choosing the risk coefficient so as to achieve higher expected returns, and also determining his/ her strategies for selecting the portfolios.
Dr. PAVAN KUMAR
VIT Bhopal University
Read the Original
This page is a summary of: Solving fully neutrosophic linear programming problem with application to stock portfolio selection, Croatian Operational Research Review, January 2020, Croatian Operational Research Society,
DOI: 10.17535/crorr.2020.0014.
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