Using Fuzzy Regression and Neural Network to Predict Organizational Performance

Abstract

As everyone knows, multiple regression analysis is an important approach to prediction studies. However, regression model has some limitations and constraints in the real world practices. This study applied fuzzy regression using neural network (FRNN) to predict organizational performance, and the findings indicate that the accuracy rate analysis supported FRNN to be a better method to predict nonlinear variables.

Modeling the impact of innovation policy on the level of development and economic security of the country

“…Topical from point of view of convenience of application are correlation-regression models that provide an opportunity to determine result of the impact of economic security on economic system or state of development of country on level of economic security. So in the article Liang-Hung Lin [8] the fuzzy regression is determined as predicting nonlinear variables best method.…”