Abstract
In this paper, capital budgeting problem with fuzzy decisions is formulated as fuzzy chance-constrained programming models. Then fuzzy simulation, neural network and genetic algorithm are integrated to produce a hybrid intelligent algorithm for solving the proposed models. Finally, numerical experiments are provided to illustrate the effectiveness of the hybrid intelligent algorithm.
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Gao, J., Zhao, J., Ji, X. (2005). Fuzzy Chance-Constrained Programming for Capital Budgeting Problem with Fuzzy Decisions. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_38
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DOI: https://doi.org/10.1007/11539506_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28312-6
Online ISBN: 978-3-540-31830-9
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