In this paper, we have presented a new method to evaluate fuzzy linear regression models based on Tanaka’s approach, where both input data and output data are fuzzy numbers, using Tw-based fuzzy arithmetic operations. This method simpli3es the computation of fuzzy arithmetic operations. General linear program is applied to derive the solutions. We also prove scale-independent property of our mo...

Abstract In order to make up for the existing deficiencies in analysis of factors affecting athletes’ victory, scientifically and effectively judge technical indicators that affect author puts forward tennis techniques tactics based on multiple linear regression model. Based Logistic model, made statistics data 10 events men's singles 2021 Open, conducted a series tests such as normal distribut...

we present a model and propose an approach to compute an approximate solution of fully fuzzy linear system $(ffls)$ of equations in which all the components of the coefficient matrix are either nonnegative or nonpositive. first, in discussing an $ffls$ with a nonnegative coefficient matrix, we consider an equivalent $ffls$ by using an appropriate permutation to simplify fuzzy multiplications. t...