Educational Website Ranking Using Fuzzy Logic and K-Means Clustering Based Hybrid Method

Kaustuv Deb, Sonali Banerjee, Rudra Chatterjee, Atanu Das, Rajib Bag
2019 Ingénierie des Systèmes d'Information  
In the Internet era, it is a huge challenge for users to find suitable and pertinent information out of the huge amount of online data. The challenge is particularly arduous for students searching for education information in a specific domain. To solve the problem, this paper puts forward an educational website ranking method, which applies fuzzy logic and k-means clustering in sequence. First, a fuzzy inference system (FIS) was established based on the fuzzy logic, and used to find the
more » ... value (UV) of an educational website according to the feedback marks of each student. Then, the general utility value (GUV) of each educational website was determined through k-means clustering of all the UVs of that website. Then, the educational websites were ranked by their GUVs. The experimental results show that the proposed method ranks the educational websites clearly and correctly, enabling students to find the desired education information.
doi:10.18280/isi.240506 fatcat:apggxcidtbgw7dd2igszwinn4i