Introduction
In this chapter we first look at finding solutions to
where \(\overline{X}\) is a triangular (shaped) fuzzy number in some interval I, f is a fuzzy function mapping fuzzy numbers into fuzzy numbers and \(\overline{Y}\) is also a triangular shaped fuzzy number. As an example of this problem we consider a fuzzy EOQ (economic order quantity) problem to solve. To generate approximate solutions we plan to employ our fuzzy Monte Carlo method.
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References
Buckley, J.J.: Fuzzy Probability and Statistics. Springer, Heidelberg (2006)
Finney, R.L., Thomas Jr., G.B.: Calculus, 2nd edn. Addison-Wesley, Reading, Mass. (1994)
Lial, M.L., Hungerford, T.W., Miller, C.M.: Mathematics with Applications, 6th edn. Harper Collins, New York (1995)
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Buckley, J.J., Jowers, L.J. (2007). Max/Min Fuzzy Function. 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_27
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DOI: https://doi.org/10.1007/978-3-540-76290-4_27
Publisher Name: Springer, Berlin, Heidelberg
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