# DYFRAT

The DYFRAT package. DYFRAT is a new methodology for modeling human rating evaluations from a fuzzy-set perspective (Calcagni’ & Lombardi, 2014). In particular, DYFRAT captures the fuzziness of human ratings by modeling some real-time biometric events that occur during the cognitive process of rating in an ecological measurement setting. This methodology records peculiar cognitive information (derived from the motor control of the computer-mouse device) which provide a continuous on-line measure of the cognitive processes involved in the rating task. In DYFRAT, the process of human rating is described as a temporal and dynamic changing course of data information which is in turn modelled by two physical components: a) the motor activation involved in the process of rating and b) the overall time spent by the rater to provide h(er/is) final rating outcome. The first component is measured by means of tracking computer-mouse movements whereas the second component is measured in terms of response times (recorded in ms). DYFRAT implements an original method to integrate such physical components into a common and comprehensive fuzzy model which allows to express the overall fuzziness of the rating process.

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## References in zbMATH (referenced in 1 article )

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