… A fuzzy colour model based on HSL colour space and radial basis … colours since providing
a fuzzy model for colour naming may allow the adaptation of the system’s usage of colour …

… fuzzy sets defining fuzzy colors, based on the paradigm of conceptual spaces [16], [17] including
fuzzy … colors and names based on the color naming system files (.cns extension). Color …

… the first color naming fuzzy model, many others’ fuzzy approaches have been … granular
fuzzy colors that we call P-fuzzy colors. Later, and focusing our study on the case of P-fuzzy colors…

… our learning data set in more detail. The section after that expounds the fuzzy logic approach
… the color naming task for n color categories Ck, k=1,…,n, can be expressed by the formula …

… over the color names from the SVM scores is derived. One drawback of this method is that
dark shades of colors can be mapped to the color name … • Flower dataset2: The flower data set …

… fuzzy colors (N=120), our model imitates human perception of … with explanations of data
collection and proposed approach … from the well-known ISCC-NBS color naming system [23]…

… In the previous section we consider two losses to estimate the color names. In principle
the binary cross-entropy loss which implements the multi-label softmax cross-entropy loss is …

… □ Data. This section shows information about the type, parameters and the collection of
crisp colors and color names of fuzzy color spaces. All the information can be edited and can be …

… These techniques have two important limitations: 1) the color naming suffers an important …
This procedure gives us a data set with 11800 color samples with an associated color label. …

… 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- …