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In this study, a two layered expert system is developed in order to use in evaluation of the green card applications and recommended to the commission of Erzincan Provincial Administration Board as a decision support system. It is considered that the expert system, which evaluates according to the 973 rules prepared by the experts, will have an important role in preventing the errors made by people and misuse. The consequences gathered after the system test shows that the evaluation results of the expert system are compatible with the experts' evaluation at the rate of %98.6. [ABSTRACT FROM AUTHOR]

In this paper, within the framework of the Act on the Right of Information Acquirement, an electronic application classification system has been developed in order to eliminate such problems as the waste of workforce and time during the classification of electronic applications to the institutions. The system first classifies the electronic applications to Erzincan University then forwards them to the relevant Chambers of Affairs. Artificial Neural Network based system, which considerably accelerates the flux of work and hinders the waste of workforce, is a word based and supervised learning system and it works with 98% accuracy. [ABSTRACT FROM AUTHOR]