A hierarchical integration method under social constraints to maximize satisfaction in multiple criteria group decision making systems

Aggregating multiple opinions or assessments in a decision has always been challenging field topic for researchers. Over the last decade, different approaches, mainly based on weighting data sources decision-makers (DMs), have proposed to resolve this issue, although social choice theory, focused frameworks combine individual opinions, is generally overlooked. To situation, novel methodology developed paper theory and statistical mathematics. This method innovates by dividing assessment into components which provides analysis, assigning weights each source regarding their position compared group considered criteria. multiple-weighting process maximises satisfaction. Furthermore, makes it possible manage previously assigned influence. An example given illustrate methodology. Additionally, sensitivity analysis performed comparisons with other methods are made. Finally, conclusions presented.