Paper Title
Project Assignment Problem Solved by Neuro-Fuzzy Inference System

The project assignment problem is one of the most important decision issues for the managers in the large corporations. In this paper we propose a new neuro-fuzzy inference system that will help human decision-makers. We show that human-like decisions can be achieved with the proposed method. ANFIS (adaptive neuro-fuzzy inference system) is a method for fuzzy modeling that learns information about a data set, in order to compute the membership functions that best allow the associated fuzzy inference system to track the given input/output data. We have applied two methods for generating the rule base – starting from empty rule base (command line version) and starting with initial rule base (GUI version). For the training and testing sets – we have used student polls about job preference. Finally, we have realized simulation in Matlab, and solved different examples of decision-making for the project assignment problem. Keywords - Neuro-Fuzzy Inference System, Project Assignment Problem, Adaptive Systems, Uncertain Decision-Making.