Chance constrained integer programming models for capital budgeting in fuzzy environments

This paper attempts to model capital budgeting problems by chance constrained integer programming in a fuzzy environment (rather than a stochastic environment). Some examples are also provided to illustrate the potential applications of new models. Finally, a fuzzy simulation based genetic algorithm...

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Veröffentlicht in:	The Journal of the Operational Research Society Jg. 49; H. 8; S. 854 - 860
Hauptverfasser:	Iwamura, K, Liu, B
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 01.08.1998 Springer London
Schlagworte:	Business and Management capital budgeting fuzzy programming genetic algorithm integer programming Management Operations Research/Decision Theory genetic algorithm integer programming capital budgeting fuzzy programming
ISSN:	0160-5682, 1476-9360
Online-Zugang:	Volltext
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