Abstract
Optimal stopping models are discussed in a stochastic and fuzzy environment. The randomness and fuzziness are evaluated by expectations and scalarization functions, respectively. The optimal fuzzy stopping times and e-optimal fuzzy stopping times are given under the regularity assumption for stopping rules.
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