Solving the Interdependence of Weighted Shortest Job First Variables by Applying Fuzzy Cognitive Mapping Zambrano Manzur, Bryan Nagib Espinoza Bazán, Fabián Andrés Fernandez, Yamilis Cruz Corona, Carlos Alberto Decision-making processes Fuzzy cognitive maps Prioritization technique In agile, adaptive, and hybrid project management, the Weighted Shortest Job First (WSJF) technique is increasingly being used to prioritize the most relevant business opportunities for organizations. However, this decision-making process often involves the evaluation of multiple interconnected factors whose interactions can influence outcomes in unforeseen ways. Traditional decision-making models tend to assume independence between variables for the sake of simplicity and tractability. In real-world contexts, however, variables rarely operate in isolation; their interdependence introduces complexities that challenge the validity, robustness, and practical applicability of conventional decision-making tools. The objective of this research is to address the problem of interdependence among WSJF variables. To achieve this, Fuzzy Cognitive Mapping (FCM) was applied to evaluate the impact and influence of interdependencies during the decision-making process. The findings demonstrate that incorporating FCM into WSJF yields a 76% correlation in prioritization order with the best outcomes, compared to linear WSJF, while revealing a 24% variation that highlights areas for further study. This evidence indicates that accounting for interdependence leads to more efficient and reliable decision-making than traditional approaches. 2025-12-12T11:29:36Z 2025-12-12T11:29:36Z 2025-10-30 journal article Manzur, B.N.Z.; Bazán, F.A.E.; Fernandez, Y.; Cruz Corona, C. Solving the Interdependence of Weighted Shortest Job First Variables by Applying Fuzzy Cognitive Mapping. Information 2025, 16, 944. https://doi.org/10.3390/info16110944 https://hdl.handle.net/10481/108758 10.3390/info16110944 eng http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional MDPI