A Fuzzy Regression Model for Predicting Non-crisp Variable

Ordinary regression analysis is one of the most powerful approaches for the applications in engineering predictions. However, ordinary regression techniques are incapable of analyzing non-crisp or fuzzy observed data. This paper presents a matrix-driven multiple fuzzy linear regression model. The proposed model can deal with a mixture of fuzzy data and crisp data. An illustrative example is presented to illustrate the use of the proposed model. The result shows the capability of the proposed model.