A Fuzzy Goal Programming Model for Efficient Portfolio Selection.

• Main Authors: Abolfazl Kazemi, Ali Shakourloo, Alireza Alinezhad
• Format: Article
• Language: English
• Published: Islamic Azad University, Qazvin Branch 2017-04-01
• Series: Journal of Optimization in Industrial Engineering
• Subjects: Multi-objective portfolio selection; Theory of possibility; Fuzzy goal programming model
• Online Access: http://www.qjie.ir/article_277_556ee6a89ccd94f66149ffc242a1e9ba.pdf
• ISSN: 2251-9904; 2423-3935

This paper considers a multi-objective portfolio selection problem imposed by gaining of portfolio, divided yield and risk control in an ambiguous investment environment, in which the return and risk are characterized by probabilistic numbers. Based on the theory of possibility, a new multi-objective portfolio optimization model with gaining of portfolio, divided yield and risk control is proposed and then the proposed model is solved as a fuzzy goal programming model to fulfill aspiration level of each objective. Furthermore, numerical example of efficient portfolio selection is provided to illustrate that proposed model is versatile enough to be applicable to various unexpected conditions. <br /> This paper considers a multi-objective portfolio selection problem imposed by gaining of portfolio, divided yield and risk control in an ambiguous investment environment, in which the return and risk are characterized by probabilistic numbers. Based on the theory of possibility, a new multi-objective portfolio optimization model with gaining of portfolio, divided yield and risk control is proposed and then the proposed model is solved as a fuzzy goal programming model to fulfill aspiration level of each objective. Furthermore, numerical example of efficient portfolio selection is provided to illustrate that proposed model is versatile enough to be applicable to various unexpected conditions.