@misc{10481/108758,
year = {2025},
month = {10},
url = {https://hdl.handle.net/10481/108758},
abstract = {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.},
organization = {Spanish Ministry of Science, Innovation and Universities - ERDF (PID2023-146575NB-I00)},
publisher = {MDPI},
keywords = {Decision-making processes},
keywords = {Fuzzy cognitive maps},
keywords = {Prioritization technique},
title = {Solving the Interdependence of Weighted Shortest Job First Variables by Applying Fuzzy Cognitive Mapping},
doi = {10.3390/info16110944},
author = {Zambrano Manzur, Bryan Nagib and Espinoza Bazán, Fabián Andrés and Fernandez, Yamilis and Cruz Corona, Carlos Alberto},
}