Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/178286 
Year of Publication: 
2017
Citation: 
[Journal:] Operations Research Perspectives [ISSN:] 2214-7160 [Volume:] 4 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2017 [Pages:] 136-141
Publisher: 
Elsevier, Amsterdam
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.
Subjects: 
Decision making
Robust LINMAP
Stock
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.