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In this paper, we show that a value function under risk is useful to model low probability and high consequence damage events like an earthquake for which expected utility theory is inadequate. Firstly, we assume alternatives to improve buildings, some scenarios of earthquakes, costs to improve buildings, probability of death and injury and cost of restoring building's damage for each scenario. Then, we show that the value function under risk is an appropriate approach to model and analyze decision making process with low probability and high consequence events.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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