Study of Dependency Degree and Bayesian Networks for Conflict Scenarios

The paper delves into analyzing conflict scenarios seen by attribute dependency, emphasizing the interaction between individual attributes. The paper presents two distinct methodologies: attributes dependency degree and Bayesian Networks for attributes. The study investigates the scope to which attributes influence one another within the context of conflict. Through empirical analysis of two real-world cases, the research uncovers significant attributes whose values offer crucial insights into the compatibility or divergence of numerous other attributes. Both methods illuminate attribute connections by employing legible graphical representations, facilitating a deeper understanding of the conflict situation. The findings highlight attributes that emerge as pivotal, providing valuable guidance for negotiation in complex conflict situations.