Green Credit Product Design Based on Fuzzy Concept Lattice

In recent years, China's rapid development has brought severe environmental problems. We need to vigorously support the development of green credit and strive to innovate green credit products. Aiming at the diversity and ambiguity of green credit evaluation indicators, we propose a green credit product design method based on fuzzy concept lattice. Firstly, we improve the theory of fuzzy formal concept analysis and design a construction algorithm based on non-repetitive attribute set. Secondly, the reference information about green industries from different sources is added into a fuzzy formal context, and then the fuzzy concept lattice structure is generated by the construction algorithm based on non-repetitive attribute set. Thirdly, we propose a clustering method which considers the weights of attributes to reduce the size of the fuzzy concept lattice, and we use the relaxation error to evaluate the performance of the fuzzy concepts. Finally, we design some green credit products according to the results of the methods proposed in this paper, which are proved to be correct and effective.