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The security of any transportation infrastructure can be defined as a combination of threat likelihood, infrastructure resilience, and consequence. In view of their inherently dynamic and highly unpredictable nature, threat likelihood and consequence data is difficult to determine with certainty. Due to this problem, this paper presents a new fuzzy(More)
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