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Journal of Intelligent Manufacturing
Erschienen in: Journal of Intelligent Manufacturing 3/2017

13.11.2014

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

verfasst von: Shuya Zhong, Yizeng Chen, Jian Zhou, Yuanyuan Liu

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 3/2017

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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.
Vorheriger Artikel Bang–bang control model with optimistic value criterion for uncertain switched systems
Nächster Artikel Dispatching medical supplies in emergency events via uncertain programming

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Metadaten
Titel
An interactive satisficing approach for multi-objective optimization with uncertain parameters
verfasst von
Shuya Zhong
Yizeng Chen
Jian Zhou
Yuanyuan Liu
Publikationsdatum
13.11.2014
Verlag
Springer US
Erschienen in
Journal of Intelligent Manufacturing / Ausgabe 3/2017
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI
https://doi.org/10.1007/s10845-014-0998-0

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