Ali Bazmara

Work place: Department of Management and Economics, Science and Research Branch Islamic Azad Universities, Tehran, Iran



Research Interests: Computer systems and computational processes, Systems Architecture, Data Mining, Data Structures and Algorithms


Ali Bazmara was born in Ilam, Iran in 1986. He received the B.Sc. degree from Islamic Azad University of Kermanshah (Iauksh) and M.Sc. degree from Science and Research Branch of Islamic Azad University (srbiau), in 2010 and 2013, respectively.

He has worked in an Iranian bank at Tehran, in The Iran since 2010, as a financial manager. He has published some papers in the area of credit scoring. His research interests include data mining, classification and fuzzy expert system.

Author Articles
Bank Customer Credit Scoring by Using Fuzzy Expert System

By Ali Bazmara Soheila Sardar Donighi

DOI:, Pub. Date: 8 Oct. 2014

Granting banking facility is one of the most important parts of the financial supplies for each bank. So this activity becomes more valuable economically and always has a degree of risk. These days several various developed Artificial Intelligent systems like Neural Network, Decision Tree, Logistic Regression Analysis, Linear Discriminant Analysis and etc, are used in the field of granting facilities that each of this system owns its advantages and disadvantages. But still studying and working are needed to improve the accuracy and performance of them. In this article among other AI methods, fuzzy expert system is selected. This system is based on data and also extracts rules by using data. Therefore the dependency to experts is omitted and interpretability of rules is obtained. Validity of these rules could be confirmed or rejected by banking affair experts.
For investigating the performance of proposed system, this system and some other methods were performed on various datasets. Results show that the proposed algorithm obtained better performance among the others.

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