A general type-2 fuzzy logic approach for adaptive modeling of perceptions for Computing With Words

In a broad sense, the Computing With Words (CWW) vision tries to tackle the problem of human intelligence by taking the human mind as a role model. A key element to facilitate the mapping of the human's brain reasoning into computer processes is to identify the step-by-step formation of perceptual judgments. In this paper, we present an approach that employs general type-2 fuzzy logic which enables the human perceptions to be dynamically modeled and adapted depending on the human experience. This approach can be regarded as a step to enable the CWW vision. We will present real-world experiments which were conducted with real users in the intelligent apartment (iSpace) in the University of Essex. The experiments demonstrate the results of the proposed approach for the adaptive modeling of ambient luminance perception.