Navigating uncertainty is a constant challenge in the dynamic landscape of research. As scholars strive to anticipate trends, forecast outcomes, and make informed decisions, they often encounter complex and ambiguous situations that defy traditional analytical approaches. In such circumstances, the Fuzzy Delphi method emerges as a powerful tool for shedding light on obscure paths, illuminating the way forward through the haze of uncertainty (Ishikawa et al., 1993).
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