Neuro-fuzzy model related to job assignation

Abstract

An important problem that many organizations have to face nowadays, especially in the context of technical and economical changes, is the job assignment problem. The hiring of new staff and the assignment of current staff to specific tasks represents a crucial decision, since the very survival of the enterprise can depend upon an appropriate choice being made. This is true in all areas of the economy, but is even more so in those in which turbulent trading conditions or cut-throat competition in the business makes it vital to have personnel with sufficient flexibility and adaptability. In these circumstances the correct choice of staff has yet a greater influence over future development of the company. This paper is an attempt to supply a satisfactory solution to a real staff management problem with linguistic information using Adaptive Neuro-Fuzzy Inference System. The system's purpose is to optimize decision making regarding the job assignment problem inside an organization. © 2013 Springer Science+Business Media.