This work studies how people describe emotions with language and how computers can simulate this descriptive behavior. To capture these intuitions about how people describe emotions, we study two models that use interval type-2 interval fuzzy sets (IT2 FSs) for representing the meaning of emotion word is represented by IT2 FSs on valence, activation and dominance scales. In the second model, the meaning of emotion words is represented by answers to an open ended set of questions from the game of Emotion Twenty Questions (EMO20Q). The notion of meaning in the two proposed models is made explicit using the Fregean framework of extensional and intensional components of meaning. Inter- and Intra-subject uncertainty is captured using IT2 FSs learned from internal approach surveys. Similarity and subsethood measures are used for task of translating one emotional vocabulary. The experimental data collected include dialogs between humans and computers and web-based surveys, both using crowd-sourcing on Amazon Mechanical Turk. For future work, we propose a research agenda that includes a continuation of work on the emotion domain as well as new work on other domains where subjective descriptions are established through natural language communication.