While “Fuzzy Concept Extractor” might seem like a specialization of “Concept Extractor”, it is a generalization compared to concept extractors for binary relations and multivalued crisp relations (“one value among”–think radio buttons).
If a fuzzy trait can have several modalities to varying degrees, with the sum of degrees (or affinities)
Fuzzy (or composite) Trait1) | Multiple choice (Crisp) | Fuzzy (another) | Binary (explicit) | Binary (usual compact Y/N) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Red | Green | Blue | Luminance | Dog | Cat | Bird | Fish | Day | Night | Day | Night | Day | |
1 | 0 | X | daytime | ||||||||||
0 | 1 | _ | night time | ||||||||||
1 | 60% | 40% | evening? dawn? | ||||||||||
So (for quantified descriptors)