Two-Stage Fuzzy Stochastic Programming with Value-at-Risk: A Generic Model
In preceding Chaps. 4 and 5, we have discussed two concrete engineering optimization models (system reliability optimization and facility location selection) with fuzzy random parameters. It is not difficult to see that the fuzzy randomness exists pervasively in many real-life situations in terms of different manifestations. From a general point of view, this chapter is devoted to a generic risk optimization model in a fuzzy random environment, and an application in facility location selection is shown in the next chapter.
- 125.W. Pedrycz and F. Gomide, Fuzzy Systems Engineering: Toward Human-Centric Computing, J. Wiley, Hoboken, NJ, 2007.Google Scholar
- 144.M. Shen and Y. Tsai, CPW-fed monopole antenna characterized by using particle swarm optimization incorporating decomposed objective functions, International Journal of Innovative Computing, Information & Control, vol. 4, no. 8, pp. 1897–1919, 2008.Google Scholar
- 166.S. Wang and J. Watada, Reliability optimization of a series-parallel system with fuzzy random lifetimes, International Journal of Innovative Computing, Information & Control, vol.5, no.6, pp.1547–1558, 2009.Google Scholar