A new fuzzy synthetic evaluation model for teaching quality

In this paper, based on the concept of core samples set, we give an attribute correlation metric method. Further, combining with Choquet fuzzy integrals, we establish a new fuzzy synthetic evaluation model (denoted as BFM-FSEM) to deal with correlation indexes. And finally we analyze the effectiveness of BFM-FSEM and give its implementation steps through a teaching quality evaluation case. Theoretical analysis and computation results show that BFM-FSEM has good operability and interpretability. So, it can be applied in many fields such as information fusion, synthetic evaluation and fuzzy decision-making.