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

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.ed...

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Veröffentlicht in:Journal of intelligent manufacturing Jg. 28; H. 3; S. 535 - 547
Hauptverfasser: Zhong, Shuya, Chen, Yizeng, Zhou, Jian, Liu, Yuanyuan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.03.2017
Springer Nature B.V
Schlagworte:
Analysis
Business and Management
Computer programming
Control
Decision making
Game theory
Intelligent systems
Linear programming
Machines
Manufacturing
Mathematical models
Mathematical programming
Mechatronics
Methods
Multiple objective
Multiple objective analysis
Optimization
Parameter uncertainty
Parameters
Pareto optimum
Preferences
Processes
Production
Robotics
Studies
Variables
Multi-objective optimization
Interactive satisficing approach
Multi-objective programming
Uncertain variable
Uncertain programming
ISSN:0956-5515, 1572-8145
Online-Zugang:Volltext
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Zusammenfassung: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.
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ISSN:0956-5515
1572-8145
DOI:10.1007/s10845-014-0998-0