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Within current military environments, the volume, velocity and variety of available information has exploded as compared with past eras. The increase in data while potentially advantageous, creates challenges for how to process that data in meaningful ways. As a result, it is increasingly likely that military commanders and their staffs have access to more information than they can use in a timely manner. This situation highlights the classic information overload problem. In battlefield situations, the issue of deciding which information is most relevant is critical to mission success. For the military, this problem is further aggravated by the restricted time constraints central to the military decision making cycle.

Utilizing Type-2 Fuzzy Sets as an Alternative Approach for Valuing Military Information