Coupling system engineering and decision aid by encompassing potential of integration with the means of multi-criteria aggregation

Theoretical foundations for systems engineering include research opportunities to create bridges between systems engineering and applied mathematics. While System Engineering deals with interactions between systems prospective performance evaluation and decisions, decision aid tools and methods are rather absent from the toolsets offered to engineers to pass or fail to a next step in design. Decisions are sequenced by humans, following prescribed methodologies. Theoretical decision principles in applied mathematics show that global product of a set of local decisions taken independently from one another will be suboptimal in terms of quality, resource and time <Q,R,T>. This position paper presents the available toolsets in mathematical models to create decision aid in architectures from multi-objective perspectives, and suggestions on how to connect both disciplines.