QS university ranking calculation by using python programming language and fuzzy logic

Lee, Jie Yu (2017) QS university ranking calculation by using python programming language and fuzzy logic. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

QS university ranking works as a platform for benchmark and in order to improve the ranking, it required simulation and forecasting. In the other hands, there are various choice of programming language but python programming is chosen due to the huge community and huge library. There are various library that could help in data analytic and artificial intelligence technique. The objective of the system is to explore on strategy of improvement on university ranking using social network, design to be a dashboard for visualization result by using python programming language and stimulate the QS ranking by defined a formula based on the standard measurement by using fuzzy logic. In this system, there are 2 major roles which is visualize the result and give the strategy. This system is incorporated with artificial intelligence technique that is fuzzy inference system. In this system, there are a lot of formula is included in order to get the input from raw data. For the fuzzy logic, 4 inferences system is used and it is nested fuzzy inference system. There are 10 input from start and it will be categorize and go through their own inference system. Then, the output of those 10 categorize input will go through the final fuzzy inference system in order to get the final output. The strategy planning will based on the value of the output and give a precise strategy.

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