Integer and combinatorial optimization
Integer and combinatorial optimization
Chance-constrained programming models for capital budgeting with NPV as fuzzy parameters
Journal of Computational and Applied Mathematics
Mean-variance model for fuzzy capital budgeting
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Optimal multinational capital budgeting under uncertainty
Computers & Mathematics with Applications
Information Sciences: an International Journal
Capital rationing problems under uncertainty and risk
Computational Optimization and Applications
Selection of efficient portfolios-probabilistic and fuzzy approach, comparative study
Computers and Industrial Engineering
Information Sciences: an International Journal
Hi-index | 0.98 |
Mathematical programming is employed to obtain an optimal decision rule for project approval in capital budgeting in a nonperfect capital market. We use the framework due to Martin Weingartner to formulate the decision problem in a deterministic setting and derive the optimal rules for the acceptance/rejection of a single project explicitly in the two cases where the borrowing/lending rates for capital are constant and time-dependent, respectively.