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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Vydané v:	The Journal of the Operational Research Society Ročník 49; číslo 8; s. 854 - 860
Hlavní autori:	Iwamura, K., Liu, B.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basingstoke Macmillan Press 01.08.1998 Palgrave Taylor & Francis Ltd
Predmet:	Algorithms Applied sciences Capital budgeting Chromosomes Crossovers Exact sciences and technology Flows in networks. Combinatorial problems Fuzzy logic Genetic algorithms Genetic mutation Goal programming Integer programming Integers Mathematical models Mathematical vectors Operational research and scientific management Operational research. Management science Operations research Programming models Scheduling, sequencing Studies Theoretical Papers Integer programming Production system Genetic algorithm Budget Profit Fuzzy programming Production capacity Capital
ISSN:	0160-5682, 1476-9360, 0160-5682
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