Discounted Markov decision processes with fuzzy costs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-020-03783-6.pdf
Reference24 articles.
1. Archibald, T. W., & Possani, E. (2019). Investment and operational decisions for start-up companies: A game theory and Markov decision process approach. Annals of Operations Research,. https://doi.org/10.1007/s10479-019-03426-5.
2. Bahri, O., & Talbi, E. G. (2020). Robustness-based approach for fuzzy multi-objective problems. Annals of Operations Research,. https://doi.org/10.1007/s10479-020-03567-y.
3. Balbus, L., Jaśkiewicz, A., & Nowak, A. S. (2018). Markov perfect equilibria in a dynamic decision model with quasi-hyperbolic discounting. Annals of Operations Research, 287, 573–591.
4. Bellman, R. E., & Zadeh, L. A. (1970). Decision making in a fuzzy environment. Management Science, 17, 141–164.
5. Bertsekas, D. P., & Shreve, S. E. (1978). Stochastic optimal control. New York: Academic Press.
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