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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 222))

Introduction

Dynamic programming has become a very large field of applications. Any management science/operations research book will discuss this topic and have list of references on the topic. Fuzzy dynamic programming is dynamic programming with some of the parameters/variables fuzzy. Put “fuzzy dynamic programming” into your search engine and get around 500 hits. A few key references on fuzzy dynamic programming are ([1]-[5],[7]-[9]. The inventory control problems discussed in Chapters 20-22 are usually solved by dynamic programming. Sequential decision problems usually fall into the dynamic programming area. So, fuzzy dynamic programming might be used on the fuzzy inventory control problems in those chapters. However, we used Monte Carlo methods there and will do the same in this chapter.

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References

  1. Esogbue, A.O., Kacprzyk, J.: Fuzzy Dynamic Programming: A Survey of Main Developments and Applications. Archives of Control Sciences 5, 39–59 (1996)

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Buckley, J.J., Jowers, L.J. (2007). Fuzzy Dynamic Programming. In: Monte Carlo Methods in Fuzzy Optimization. Studies in Fuzziness and Soft Computing, vol 222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76290-4_25

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  • DOI: https://doi.org/10.1007/978-3-540-76290-4_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76289-8

  • Online ISBN: 978-3-540-76290-4

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