Abstract
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 is designed for solving chance constrained integer programming models with fuzzy parameters.
An Erratum for this chapter can be found at http://dx.doi.org/10.1057/palgrave.jors.2600667
An erratum to this article is available at http://dx.doi.org/10.1057/palgrave.jors.2600667.
An Erratum for this chapter can be found at http://dx.doi.org/10.1057/palgrave.jors.2600667
An erratum to this article is available at http://dx.doi.org/10.1057/palgrave.jors.2600667.