… , within the framework of the affine arithmetic, Manson (2005) … According to the philosophy
of the affine arithmetic, a … to the philosophy of the affine arithmetic, as the minimum and …

… affine arithmetic … affine arithmetic reduces the so-called wrapping effect, which is related to
overestimation caused by nested operations on dependent variables. Finally, affine arithmetic …

… The green square indicates the affine arithmetic method to … To achieve an efficient
mathematical model, affine arithmetic is … which is obtained via affine arithmetic. Interval values are …

… 2(c) illustrates the PEV analysis based on the affine arithmetic. For non-linear operations
such as multiplication of two variables, our analysis software creates new variables to simplify …

… There also also other variants for interval analysis, such as affine arithmetic that has been
… , the higher asymptotic accuracy of affine arithmetic is very attractive and compensates a …

… Overestimation of [y] = f([x]) and thus of ∇[x][y] due to the wrapping effect in interval evaluations
might be addressed by affine arithmetic [3]. Again, if the result of the significance analysis …

… We can write this in affine arithmetic as: … using affine arithmetic and compares these results
to that of interval arithmetic and Monte Carlo simulation. It is found the affine arithmetic is less …

… scholars applied the affine arithmetic [39,40] to deal with this issue. For instance, Muscolino
et al. [41] developed an improved interval analysis based on the affine arithmetic to evaluate …

… Although the impact of errors due to violation of finite dynamic range is more pronounced,
these errors can be mitigated by techniques such as range analysis using affine arithmetic, …

… Moreover, affine arithmetic has been applied to find the best interval uncertainty modeling
in the term of optimal power flow. Then, stochastic weighted trade-off particle swarm …