Fault-tolerant enhanced bijective soft set with applications
Fault-tolerant enhanced bijective soft set with applications is a scholarly work by Ke Gong, published in 2017 in ''Applied Soft Computing''. The main subjects of the publication include data set, fault, pattern recognition, set, data mining, bijection, computer science, Soft set, and algorithm. The paper uses a real problem in gaining shoreline resources evaluation rules to validate the model.