A robust optimization model for a decision-making problem: An application for stock market
Massimiliano Ferrara (),
Sepideh Rasouli,
Mehrnoosh Khademi and
Mehdi Salimi
Operations Research Perspectives, 2017, vol. 4, issue C, 136-141
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.
Keywords: Decision making; Robust LINMAP; Stock (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2214716017300453
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:oprepe:v:4:y:2017:i:c:p:136-141
DOI: 10.1016/j.orp.2017.10.001
Access Statistics for this article
Operations Research Perspectives is currently edited by Rubén Ruiz Garcia
More articles in Operations Research Perspectives from Elsevier
Bibliographic data for series maintained by Catherine Liu ().