Most engineers might have been in a situation where they need to make a decision for an engineering problem. This decision engineers make should be consistent and correct based on information related to the problem. With sufficient information to solve a problem, a decision might be made easily with this information. However, if information is conflicting within a problem, it is difficult to make a consistent decision. In this study, possibility theory is introduced in order to make consistent decisions for a decision making problem with conflicting information. Information is modelled as weighted intervals based on its importance. A methodology to generate a possibility distribution from the weighted intervals is presented to fuse information with respect to its importance. A case study for decision-making from Structural Health Monitoring (SHM) data is presented.
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