… edge colouring of a fuzzy graph and radio k colouring in fuzzy graphs. In this article, the
colouring of directed fuzzy … Here, we use fuzzy colour to mark the directed fuzzy graph as follows- …

… The meaning of frequency for our data needs clarification. It is, as usual, the number of
times that each colour name is used to describe our colour stimuli but, as we sample from the …

… Just like in natural language, we allow fuzzy naming: the same color might be, in different …
, we generate additional naming systems by partitioning the color space using the “fuzzy c-…

… based on fuzzy c-means clustering technique directly implied on acquired colour micro-tool …
, and ROI on each tooth is extracted from micro-tool colour images. The second uses the …

… data sets used in psychological and linguistic research by creating a new database of normed
colour … versions, including greyscale, blurred, scrambled, and line drawings. This large …

… proposes a color image segmentation method based on region salient color and the fuzzy
C-… We name our method RSCFCM. Two correlation algorithms are chosen to compare with the …

… the complete colour distributions directly, a set of moments is … present colour moments
as by-products of colour histograms [… of the CIE XYZ colour space—hence the name (chromaticity …

… -saturation value colour space that facilitates colour-based … Capsule layers are the names
given to a CNN's hidden layers. … In the first step, we analysed the skin lesion data set and …

… The biggest node is the name of the world-renowned computer scientist LA Zadeh.Footnote …
Each cluster is represented by a color of nodes of keywords. As shown in Figure 7 , several …

… (the fuzzy set) with using certain labels to name these ranges… Further, 3 synthetic data sets
are created for all 3 attributes by … Here, red colour plot shows a cluster with low value whereas …