Support Vector Machines Regression Ensemble Based on Fuzzy Integral for Capital Risk Assessment Model of Real Estate Enterprises

摘要

Traditional capital risk evaluating methods always only estimate the risk factors which exist in corporate itself, while seldom consider the influence which the enterprises’ deposit, loan structure and capital risk condition bring upon. These methods lead to the absence of the assessment subject and results in inevitable systematic error. In this essay, support vector machines (SVMs) based on fuzzy integral is introduced. The result of basing on voting ensemble SVMs, single SVM, fuzzy nerve network and basing on fuzzy integral ensemble SVMs are compared in the essay. Support vector machines based fuzzy integral is better than the three of others. We can conclude from figures and tables that the result of basing on fuzzy integral support vector machines is satisfaction.