Paper Info
Title
An Interval Type-2 Fuzzy Logic System To Translate Between Emotion-Related Vocabularies
Abstract
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 [napping 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.
Year
Venue
Keywords
2008
INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5
emotion, fuzzy logic, knowledge engineering
Field
DocType
Citations 
Computer science,Fuzzy set operations,Fuzzy set,Artificial intelligence,Natural language processing,Fuzzy number,Fuzzy cognitive map,Fuzzy logic,Speech recognition,Fuzzy Control Language,Type-2 fuzzy sets and systems,Vocabulary,Machine learning
Conference
6
PageRank 
References 
Authors
0.62
8
3
Name
Order
Citations
PageRank
Abe Kazemzadeh195752.95
Sungbok Lee2139484.13
Narayanan Shrikanth35558439.23