A proposed model for measuring talent degree by using fuzzy logic (Applied study- Master students in the Faculty of Sciences)


Abstract in English

This study has been done to develop scientific research and select talented people of post-graduate students (master students) to continue and get doctoral degrees (degree in PHD) at Tishreen University. The research has been prepared, which aims to suggest a model for measuring the degree of creativity and talent for post-graduate students by using one of artificial intelligence techniques such as Fuzzy Logic. An expert system has been built that contains an inference rule which consists of three types of tests: (Theory Test, TT), (Practice Test, PT), and (Creativity Test, CT) for each course. This intelligent system has also aimed to determine the ability to make decisions which gives the rate of talent for post- graduate students. The study has reached to an important set of results, and the most important is: Results have shown high strength and reliability shows the validity of this proposed model, the validity of the results have reached to 85% and 100%, by using two different methods to defuzzificate of proposed model.

References used

GEORGE J. KLIR, BO YUAN. "Fuzzy Sets and Fuzzy Logic: Theory and Applications". Prentice-Hall Inc., 591 pages, (1995),P 35-95
DIDIER DUBOIS, HENRI PRADE. Fuzzy Sets and Systems: Theory and Applications (Mathematics in Science & Engineering). Academic Press. 393 pages. (1980), P 9-34
ZADEH, L. A. "Fuzzy sets". Information and Control 8 (3): 338-353. (1965) P 338-342

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