This paper describes a novel experiment that demonstrates the feasiblity of a fuzzy logic (FL) representation of emotion-related words used to translate between different emotional vocabularies. Type-2 fuzzy sets were encoded using input from web-based surveys that prompted users with emotional words and asked them to enter an interval using a double slider. The similarity of the encoded fuzzy sets was computed and it was shown that a reliable mapping can be made between a large vocabulary of emotional words and a smaller vocabulary of words naming seven emotion categories. Though the mapping results are comparable to Euclidian distance in the valence/ activation/dominance space, the FL representation has several benefits that are discussed.
Bibliographic reference. Kazemzadeh, Abe / Lee, Sungbok / Narayanan, Shrikanth S. (2008): "An interval type-2 fuzzy logic system to translate between emotion-related vocabularies", In INTERSPEECH-2008, 2747-2750.