A Neuro-Fuzzy System as a complex system of emergent behavior in organizations

The organization is not like a machine that just needs to meet a target with efficiency, it presents larger problems like survival and adaptation to a changing and uncertain environment. It is also an open system influenced by other systems outside of it. This interaction can be seen as emerging behavior that acts as a living organism that adapts and is self-organized. Humanity moves increasingly faster thus organizations must adapt; reductionist studies that only consider hierarchy and economic factors are no longer sufficient, nowadays approaches have emerged to manage and understand an organization from a complexity approach highlighting the progress of organizational cybernetics. In this paper, we propose the use of Neuro-Fuzzy Systems for modeling the emergent behavior of a self-organized organization to achieve effectiveness.