in different projects the speed of different machinery can be estimated using manufacturer's handbooks and a number of modification factors to consider the environmental effects, type of the project and status of site management. since the statuses of different factors of the domestic projects are totally different from those of the international projects, there is a wide discrepancy betwe...

The Mamdani and TSK fuzzy models are fuzzy inference engines which have been most widely applied in real-world problems. Compared to the Mamdani approach, the TSK approach is more convenient when the crisp outputs are required. Common to both approaches, when a given observation does not overlap with any rule antecedent in the rule base (which usually termed as a sparse rule base), no rule can ...

Abstract We propose AAA rational approximation as a method for interpolating or approximating smooth functions from equispaced samples. Although it is always better to approximate large numbers of samples if they are available, whether not, this often performs impressively even when the sampling grid coarse. In most cases gives more accurate approximations than other methods. support claim with...

A suitable interpolation method is essential to keep the noise level minimum along with the time-delay. In recent years, many different interpolation filters have been developed for instance H.264-6 tap filter, and AVS4 tap filter. The present work uses Adaptive Neuro-Fuzzy Inference System (ANFIS) technique to model and investigate the effects of a four-tap low-pass tap filter (Grid-adaptive f...

Prediction of sinusoidal signals with time-varying frequencies has been an important research topic in power electronics systems. To solve this problem, we propose a new fuzzy predictive filtering scheme, which is based on a Finite Impulse Response (FIR) filter bank. Fuzzy logic is introduced here to provide appropriate interpolation of individual filter outputs. Therefore, instead of regular ‘...

When a fuzzy system is presented with an incomplete (or sparse) rule base, interpolation (FRI) offers useful mechanism to infer conclusions for unmatched observations. However, most existing FRI methodologies are established Mamdani inference models, but not Takagi–Sugeno–Kang (TSK) ones. This article presents novel approach computing interpolated outcomes TSK using only small number of neighbo...