DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-6,Issue-9 ( Sep, 2019 ) | |||||||||
Paper Title |
Project Assignment Problem Solved by Neuro-Fuzzy Inference System | |||||||||
Author Name |
Zoran Gacovski, Ilija Gjorgjiev | |||||||||
Affilition |
European University-Skopje, bul. Kliment Ohridski, 68, Skopje, Macedonia Ministry of Information Society and Administration - Skopje | |||||||||
Pages |
55-58 | |||||||||
Abstract |
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. | |||||||||
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