five

Standard deviation of minimum and maximum membership fluctuation percentages for each symptom over five iteration checkpoints (10, 20, 30, 50, and 100). Values are shown as “Min StdDev/ Max StdDev,” which highlights the level of variability in fuzzy bound adjustments during the stabilization process. Higher deviations in some symptoms, like fever duration and hemoptysis, show more instability in early iterations. In contrast, symptoms like fever value remain stable throughout.

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https://figshare.com/articles/dataset/Standard_deviation_of_minimum_and_maximum_membership_fluctuation_percentages_for_each_symptom_over_five_iteration_checkpoints_10_20_30_50_and_100_Values_are_shown_as_Min_StdDev_Max_StdDev_which_highlights_the_level_of_variability_in_fuzzy_b/30419079
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Standard deviation of minimum and maximum membership fluctuation percentages for each symptom over five iteration checkpoints (10, 20, 30, 50, and 100). Values are shown as “Min StdDev/ Max StdDev,” which highlights the level of variability in fuzzy bound adjustments during the stabilization process. Higher deviations in some symptoms, like fever duration and hemoptysis, show more instability in early iterations. In contrast, symptoms like fever value remain stable throughout.
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2025-10-22
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