Abstract
In this paper, the fuzzy system modeling method and the probability representation of fuzzy system method are used to establish model based on economic data. Compared their sum of residual squares with that of classical linear regression analysis model, which indicates that the results represent by the fuzzy system model method and the probability representation of fuzzy system model method are better than the linear regression analysis model method. Analogy to the linear regression analysis theory, the deterministic coefficient is introduced for the fuzzy system model and the probability representation of fuzzy system model, and given a new index \(\tilde{R}^{2}\) to measure the effect of fit, then we use this index to compare the degree of fit of each models. The results show that the linear regression analysis model is the best fit, but the probability representation of fuzzy system model fitting the worst. The research of this paper has theoretical significance value to the fuzzy system theory in the analysis of economic data.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
