In this paper we apply robust linear programming technique for multidimensional analysis of preference (LINMAP) method for a decision making problem. During the last two decades, many methods have been extensively used for decision making problems. However, there is no investigation among many existing studies where the uncertainty in data is possible. The robust LINMAP method with the assumption of uncertainty on parameters is implemented in the stock market in order to rank priorities of the stocks.

A robust optimization model for a decision-making problem: An application for stock market

FERRARA, Massimiliano
Conceptualization
;
2017

Abstract

In this paper we apply robust linear programming technique for multidimensional analysis of preference (LINMAP) method for a decision making problem. During the last two decades, many methods have been extensively used for decision making problems. However, there is no investigation among many existing studies where the uncertainty in data is possible. The robust LINMAP method with the assumption of uncertainty on parameters is implemented in the stock market in order to rank priorities of the stocks.
Decision making; Robust LINMAP; Stock
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12318/5837
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