An interactive satisficing approach for multi-objective optimization with uncertain parameters

Shuya Zhong, Yizeng Chen, Jian Zhou () and Yuanyuan Liu
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Shuya Zhong: Shanghai University
Yizeng Chen: Shanghai University
Jian Zhou: Shanghai University
Yuanyuan Liu: Shanghai University

Journal of Intelligent Manufacturing, 2017, vol. 28, issue 3, No 5, 535-547

Abstract: Abstract Uncertain variables are used to describe the phenomenon where uncertainty appears in a complex system. For modeling the multi-objective decision-making problems with uncertain parameters, a class of uncertain optimization is suggested for the decision systems in Liu and Chen (2013), http://orsc.edu.cn/online/131020 which is called the uncertain multi-objective programming. In order to solve the proposed uncertain multi-objective programming, an interactive uncertain satisficing approach involving the decision-maker’s flexible demands is proposed in this paper. It makes an improvement in contrast to the noninteractive methods. Finally, a numerical example about the capital budget problem is given to illustrate the effectiveness of the proposed model and the relevant solving approach.

Keywords: Multi-objective optimization; Multi-objective programming; Uncertain variable; Uncertain programming; Interactive satisficing approach (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10845-014-0998-0

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