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On asymptotic properties of the multiple fuzzy least squares estimator

Advances in Intelligent Systems and Computing (2017) 456 525-532
DOI: 10.1007/978-3-319-42972-4_65
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Abstract

Themultiple fuzzy linear regression model with fuzzy input–fuzzy output is considered. Assuming that fuzzy inputs and fuzzy outputs are modeled by triangular fuzzy numbers, we prove the consistency and asymptotic normality of the least squares estimators.

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Yoon, J. H., Cho, S. H., & Grzegorzewski, P. (2017). On asymptotic properties of the multiple fuzzy least squares estimator. In Advances in Intelligent Systems and Computing (Vol. 456, pp. 525–532). Springer Verlag. https://doi.org/10.1007/978-3-319-42972-4_65

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