The Perceptual Computer: the Past, Up to the Present, and Into the Future

A gentle introduction and survey on Computing with Words (CWW) methodologies

“…Step-5: Statistics computation for data intervals In this step, mean and standard deviation are computed for all the m remaining data intervals from the previous step, assuming a probability distribution. The computations for this step are given in (42) and (43), assuming uniform probability distribution.…”

“…Step-6: Selecting T1 FS models In this step, the T1 MFs are classified into either left-shoulder, interior or right shoulder based on the mean and standard deviation values computed in (42) and (43).…”

“…The computations in (43) are performed to retain only the not too small or not too large intervals. Hence, at the end of the tolerance limit processing step, the number of data intervals may be reduced to m 00 .…”

“…It can be seen that the literature on these CWW methodologies is scattered which makes it difficult to grasp an idea of the field, especially for anyone starting the work on CWW methodologies. The works [7] and [43] tried to provide an overview of 2-tuple methodology and perceptual computer, respectively. They are a good start, however, they have quite limited focuses.…”

Interval type-2 fuzzy sets improved by Simulated Annealing for locating the electric charging stations

“…Nevertheless, type-reduction and defuzzification processes in the applications of type-2 fuzzy logic systems often require additional time. Because of the computational complexity of those processes, the majority of the researchers and practitioners have focused on interval type-2 fuzzy models [19] with manageable run-time complexities that are considered practical [20,21]. [20] defines the foot print of uncertainty (FOU) as "the union of the primary membership".…”