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This article considers multiobjective linear programming problems (MOLPP) where random fuzzy variables are contained in objective functions and constraints. The purpose of the proposed decision making model is to optimize values at risk under the constraints using a necessity measure. An interacitve algorithm is constructed in order to obtain a satisficing solution for the decision maker from among...
This paper proposes a route planning problem for sightseeing with fuzzy random variables based on constraints of required traveling times and satisfactions of the total sightseeing activity. In general, traveling times among sightseeing places and the satisfactions of activities depend on weather and climate conditions. Tourists will like to do their favorable route planning without drastically changing...
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