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Based on mean chance theory, this paper presents a new class of two-stage fuzzy random minimum risk problem (FRMRP).
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In order to obtain an adequate description of risk aversion for insuring critical path problem, this paper develops a new class of two-stage minimum risk problems.
Since the proposed two-stage fuzzy minimum-risk problem (FMRP) often includes fuzzy variable coefficients defined through possibility distributions with infinite supports, it is inherently an infinite-dimensional optimization problem that can rarely be solved directly.
Using the mean chances, we present a new class of fuzzy random minimum-risk problems, where the objective and the constraints are all defined by the mean chances.
We propose and study a new model for the spanning tree problem with interval data, the Minimum Risk Spanning Tree (MRST) problem, that finds diverse applications in network design.
This paper considers a new class of multi-product source and multi-period fuzzy random production planning problems with minimum risk and service levels where both the demands and the production costs are assumed to be uncertain and characterized as fuzzy random variables with known distributions.
The minimum risk method is just one of the applications of the memory grid technique, which addresses the local minimum problem faced by a goal-oriented robot navigating in unknown indoor environments.
They keep talking about 'minimum risk levels' of toxins and chemicals, but I say to them: When it's your child, there is no acceptable minimum risk".
But for any criminal who wants maximum money for minimum risk, it is most attractive.
Again a rescue plan is needed to have the work done with minimum risk.
Universities want to ensure that their researchers pose minimum risk to any human subjects they study.
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