Applying fuzzy multi-objective linear programming to a project management decision with nonlinear fuzzy membership functions

This paper investigates a multi-objective project management problem where the goals of the decision maker are fuzzy. Prior research on this topic has considered linear membership functions to model uncertain project goals. Linear membership functions, however, are not much flexible to model uncerta...

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Veröffentlicht in:	Neural computing & applications Jg. 28; H. 8; S. 2193 - 2206
Hauptverfasser:	Ehsani, Ehsan, Kazemi, Nima, Olugu, Ezutah Udoncy, Grosse, Eric H., Schwindl, Kurt
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.08.2017 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Decision making Functions (mathematics) Fuzzy sets Image Processing and Computer Vision Linear programming Management decisions Mathematical models Mathematical programming Multiple objective analysis Original Article Probability and Statistics in Computer Science Project management Project planning Exponential membership function Nonlinear fuzzy membership function Project management Weighted max–min approach Fuzzy multi-objective programming
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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