Hybrid regression analysis is proposed for modeling randomness and fuzziness in a regression model. For regression analysis involving fuzzy numbers, weighted fuzzy arithmetic is defined and used as a replacement for conventional fuzzy arithmetic. A method of hybrid least-squares linear regression is developed. Reliability measures for hybrid regression are also defined. A numerical example of hybrid regression is presented and compared with classical regression. Also, applications of hybrid regression for uncertainty modeling are summarized.
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