CUED Publications database

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

Zhong, S and Chen, Y and Zhou, J and Liu, Y (2017) An interactive satisficing approach for multi-objective optimization with uncertain parameters. Journal of Intelligent Manufacturing, 28. pp. 535-547. ISSN 0956-5515

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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.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div E > Manufacturing Systems
Depositing User: Cron Job
Date Deposited: 07 Aug 2018 02:09
Last Modified: 10 Apr 2021 01:50
DOI: 10.1007/s10845-014-0998-0